‘Advances in AI and Machine Learning are not scalable without proper data governance program in place’ says Peggy Tsai, Chief Data Officer at BigID

Media 7 | March 8, 2022

Advances in AI and Machine Learning
Peggy Tsai, Chief Data Officer at BigID talks about BigID’s data intelligence platform and its integrated applications. Read on to know more about her thoughts on GDPR compliance, the future data intelligence landscape and more in her latest interview with Media 7.

It is imperative for data professionals to rely on AI/ML predictive analytics and insights to help manage and govern their data faster and more efficiently.


MEDIA 7: Hi, Peggy, thank you for your time! We are very excited to have you here! Let us begin with you telling us a little bit about BigID. What are the core values that drive the company to be a leader in data intelligence landscape?
PEGGY TSAI:
Thank you for this opportunity! I’m happy to be here as well. BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective.  Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. BigID’s core values for employees help the company to be a leader in the data intelligence space - and these values are Care, Do, Try, Shine. We work hard to innovate and build differentiating offerings in the marketplace for privacy, security and data governance. As BigID’s Chief Data Officer, I am pleased to be a part of the data strategy and innovation in the data governance pillar.


M7: Recently, ServiceNow made a strategic investment in BigID to extend automation and innovation across data. Could you tell our readers about some of the developments that all of you at BigID are excited about?
PT:
Yes, we are very excited about the recent strategic investment from ServiceNow. Along with our other strategic investors such as Salesforce, SAP, HPE, Splunk and Comcast, BigID helps companies and organizations build comprehensive data privacy, security, and governance strategies that allow them to better manage risk and meet increasingly stringent legal compliance standards globally. BigID’s discovery platform builds a unified and consistent layer for the enterprise to apply metadata, tagging and context that can be leveraged for many business use cases. Our integrated applications work with our partners to support data insights and enrichment without leaving the platform.

Read More : Affise’s founder Dimitri Zotov believes that Partner Marketing space will see huge growth in the next few years.


Data and analytics are very versatile skillsets that can be combined with other skillsets to create a unique career profession


M7: Lately, many companies have faced difficulty in keeping pace with GDPR compliance. What are the toughest challenges to international privacy compliance, in your opinion?
PT:
There are many challenges that I observe. First, companies have too many complex data sources and data types that contain personal information. It makes it difficult to identify where they keep PI/PII data and they lack the proper technology to tie the sensitive data to a person or entity. Secondly, companies have disjointed processes to catalog and report on GDPR compliance. This leads to a break in the information that they need to find and subsequently create a Data Subject Access Request (DSAR). They also cannot complete an end-to-end Privacy Impact Analysis because they do not have the trusted information in a single system. Lastly, this definition and scope of private and sensitive data varies across different protection and privacy regulations. Companies must take a flexible multi-prong approach to accurately and comprehensively discover and tag personal data for the variety of regulations that they must comply with. It is not a simple “tag once and it's done” approach given the complexity of data and the different regulations


M7: You have had an exemplary professional journey of over 18 years. Seeing the rapid change in technology and digitalization what future do you predict for the Data intelligence landscape?
PT:
Over the course of my professional career, the scope and complexity of the data management role has changed tremendously. It is no longer a simple data management job. Nowadays, there are additional responsibilities around analytics, data engineering, data literacy and AI/ML. The role must also work closely with the Chief Privacy Officer and Chief Security Officer to comply and secure the company’s most critical data. I do not expect this to decrease in the future, rather grow more in intensity and speed. Therefore, it is imperative for data professionals to rely on AI/ML predictive analytics and insights to help manage and govern their data faster and more efficiently. They need to take a proactive approach to data quality issues and remediation. From a talent pipeline perspective, I also predict that data professionals become increasingly broader in their knowledge and skillset in order to become successful in their role.

Read More : Qualcomm’s John Kehrli says, ‘Our vision is to make all devices increasingly intelligent enabling them the ability to perceive their surroundings


Companies must take a flexible multi-prong approach to accurately and comprehensively discover and tag personal data for the variety of regulations that they must comply with


M7: Corinium Global Intelligence recently named you in their 2022 Global Top 100 Innovators in Data & Analytics Report. What do you believe is your driving force behind your proven track records and achievements?
PT:
I am very fortunate to have received this nomination and to be able to share my insights with the Corinium Global Intelligence audience. I had the absolute pleasure and unique opportunity in the last two years to explore, research, discuss and interrogate with my data & analytics peers. My driving force behind my dedication to data has been my fundamental belief that all data & analytics trends start from strong data governance. Advances in AI and Machine Learning are not scalable without proper data governance program in place. I believe in tying back the fundamentals with the new innovations.


M7: This is the last question but it is an important one for our readers. What is your advice for young women considering a career in data analytics?
PT:
I highly recommend young women to consider a career in data analytics and data governance. There are many different roles and careers in this field that require diverse thinking so it is important to have a place in this industry. Also, I would say this is a high growth and exciting area that transcends all industries. Data and analytics are very versatile skillsets that can be combined with other skillsets to create a unique career profession. I recommend doing your research in this field and then network with other professionals to learn as much as possible throughout your career!

ABOUT BIGID

BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape.

More C-Suite on deck

Q&A with Tara Ryan, Chief Marketing Officer at Incorta

Media 7 | April 15, 2020

Tara Ryan, Chief Marketing Officer at Incorta has over 25 years experience and success in global marketing for technology businesses in ERP, mid-market, SMB, security, industry offerings and has driven fast growth for multiple SaaS , IPO and public companies.  Ryan works with executives and board on planning, creation and execution of global branding, communications, sites, field programs, public relations, investor relations and demand generation. MEDIA 7: When did you first start working and what was it? TARA RYAN: My first job for a real paycheck was at 15 when I worked at a deli in Fresno, CA where I grew up. M7: With over 25 years of experience in global marketing for technology companies, how has the demand generation for tech firms evolved, and how do you see it changing in future? TR: Marketing used to be a stand alone, unautomated function and in all honesty, a bit of a mystery. Now marketing is threaded through every single thing we do in business and with technology innovations, there is a real understanding of it, the programs we run, the expected outcomes and even the real time analysis of successes and failures. We used to plan a campaign, process out the creative, media and execution and wait to see effectiveness – now we do all at once. I see the future going back to simplification and less is more. We have added so many tools and ways to analyze.

Read More

Listen to your customers, advises Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai

Media 7 | November 16, 2021

Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai shared his insights with us on how marketers can make better use of data, attribution models and natural language processing to promote conversions and increase customer engagement. Read on to find out about his three-part strategy for successful marketing campaigns.

Read More

HeadSpin's Brien Colwell shows us how humans can work together with AI to create successful systems

Media 7 | November 8, 2021

Brien Colwell, Co-Founder, and CTO at HeadSpin takes us through his journey from being a software engineer to building the world’s first Digital Experience AI Platform. Read on as he talks about Artificial Intelligence and how HeadSpin is helping organizations assure optimal digital experiences across mobile and web delivery channels.

Read More

Q&A with Tara Ryan, Chief Marketing Officer at Incorta

Media 7 | April 15, 2020

Tara Ryan, Chief Marketing Officer at Incorta has over 25 years experience and success in global marketing for technology businesses in ERP, mid-market, SMB, security, industry offerings and has driven fast growth for multiple SaaS , IPO and public companies.  Ryan works with executives and board on planning, creation and execution of global branding, communications, sites, field programs, public relations, investor relations and demand generation. MEDIA 7: When did you first start working and what was it? TARA RYAN: My first job for a real paycheck was at 15 when I worked at a deli in Fresno, CA where I grew up. M7: With over 25 years of experience in global marketing for technology companies, how has the demand generation for tech firms evolved, and how do you see it changing in future? TR: Marketing used to be a stand alone, unautomated function and in all honesty, a bit of a mystery. Now marketing is threaded through every single thing we do in business and with technology innovations, there is a real understanding of it, the programs we run, the expected outcomes and even the real time analysis of successes and failures. We used to plan a campaign, process out the creative, media and execution and wait to see effectiveness – now we do all at once. I see the future going back to simplification and less is more. We have added so many tools and ways to analyze.

Read More

Listen to your customers, advises Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai

Media 7 | November 16, 2021

Christopher Penn, Co-Founder and Chief Data Scientist at TrustInsights.ai shared his insights with us on how marketers can make better use of data, attribution models and natural language processing to promote conversions and increase customer engagement. Read on to find out about his three-part strategy for successful marketing campaigns.

Read More

HeadSpin's Brien Colwell shows us how humans can work together with AI to create successful systems

Media 7 | November 8, 2021

Brien Colwell, Co-Founder, and CTO at HeadSpin takes us through his journey from being a software engineer to building the world’s first Digital Experience AI Platform. Read on as he talks about Artificial Intelligence and how HeadSpin is helping organizations assure optimal digital experiences across mobile and web delivery channels.

Read More

Related News

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Latest Couchbase Capella Release Features New Developer Platform Integrations and Greater Enterprise Features

Prnewswire | June 02, 2023

Couchbase, Inc. (NASDAQ: BASE), the cloud database platform company, today announced a broad range of enhancements to its industry-leading Database-as-a-Service Couchbase Capella™. The newest release of Capella will be accessible by popular developer platform Netlify and features a new Visual Studio Code (VS Code) extension, making it easier for developers and development teams to build modern applications on Capella, streamline their workflows and increase productivity. Coinciding with National Cloud Database Day, Couchbase is also extending its enterprise deployability and introducing new features, allowing customers to move more applications to Capella with a lower TCO. "The reality is that developers don't want to spend their time operating and integrating separate primitives. Capella's new developer platform integrations aim to address this widespread issue, minimizing the developer experience gap and allowing teams to focus on what they do best — writing code and solving problems," said Rachel Stephens, senior analyst at RedMonk. Simplifying the Developer Experience With Netlify, VS Code and Capella Findings from Couchbase's recent developer survey reveal that the majority of developers (94.9%) are currently at or over their work capacity and are on the brink of or already feeling overwhelmed. To reduce this friction and help developers lower their number of operational tasks, Couchbase is extending Capella to more of the developer platform ecosystem that is highly favored by frontend and full stack developers. The new integration for Capella makes it easy for developers to connect to Netlify for more simplified and agile web application development. In addition, the new VS Code extension is designed to provide a seamless experience for Capella users who want to work within the popular source-code editor. These ecosystem enhancements are now available and reduce friction so that developers can focus on building innovative modern apps. "Netlify's platform unites an extensive ecosystem of technologies, services and APIs into one workflow to empower developers to build composable web experiences with the tools that best suit their needs. In this way, Netlify meets their users where they are, allowing them to embrace the composable web in a manner that respects their existing businesses, while also balancing flexibility and enterprise-grade reliability. I'm a strong believer that when the ecosystem wins, we all win. That's why we're so excited to deepen our ties with Couchbase to strengthen and diversify the ecosystem of tools developers are using to build the modern web," said Chris Bach, co-founder and chief strategy and creative officer at Netlify. Broader Enterprise Deployability and New Enterprise Features Couchbase is also broadening Capella's enterprise features and deployability so customers can move more applications to the cloud database platform. The new Capella enhancements deliver the following benefits: Support for time series data. A new time series array function in Couchbase's support for JSON will enable a broader set of use cases, such as IoT or finance apps. By using time series arrays, Couchbase is able to utilize all of its data access, processing and storage features including its patented array indexing and high-density storage engine. This approach will enable development teams to quickly and easily extend new features to their applications without adding complexity to their architecture or infrastructure, allowing them to be more agile and productive while driving cost efficiency. Extending deployability of Capella. Couchbase has added over 10 new supported regions across the three major cloud service providers and larger instance sizes. Capella is also available directly in each of their marketplaces. Capella adds support for memory-only buckets (ephemeral databases) for caching and transient data use cases. Security and compliance capabilities are enhanced through Google Cloud HIPAA compliance and with private endpoints for Azure. Enhanced management. Managing Capella is even easier now with the introduction of dynamic disk scaling, hibernation of clusters and the enabling of downloadable buckets. Also new is change data capture, which recognizes and automates change history on documents. This is then streamable via Kafka to other applications. These enhancements collectively position Capella as a single, comprehensive cloud database platform that offers broad multimodel support and in-memory performance — a powerful combination that lowers TCO for customers. "We continue to broaden the Capella capabilities and make it easier for new developers to come on board and take advantage of our industry-leading cloud database platform," said Scott Anderson, SVP of product management and business operations at Couchbase. "Development teams can get started with Capella more quickly and do more with our cloud database platform, improving efficiency and productivity. And for operations teams, Capella becomes even easier to deploy and manage while broadened enterprise capabilities handle more workloads at a fraction of the cost compared to other document-based DBaaS offerings." The new release of Capella will be generally available in the second quarter. Couchbase will host a webcast on June 7 and 8 to discuss what's new in Capella and how customers can benefit from the latest enhancements. Register here. About Couchbase Modern customer experiences need a flexible database platform that can power applications spanning from cloud to edge and everything in between. Couchbase's mission is to simplify how developers and architects develop, deploy and consume modern applications wherever they are. We have reimagined the database with our fast, flexible and affordable cloud database platform Capella, allowing organizations to quickly build applications that deliver premium experiences to their customers – all with best-in-class price performance. More than 30% of the Fortune 100 trust Couchbase to power their modern applications. For more information, visit www.couchbase.com and follow us on Twitter @couchbase. Couchbase®, the Couchbase logo and the names and marks associated with Couchbase's products are trademarks of Couchbase, Inc. All other trademarks are the property of their respective owners.

Read More

BIG DATA MANAGEMENT, DATA ARCHITECTURE, DATA SCIENCE

Census Announces GitLink to Bring Software Engineering Best Practices to Data Activation Workflows

Businesswire | June 01, 2023

Census, the leading Data Activation and Reverse ETL platform that syncs customer data from data warehouses to over 160 key business tools, today announced the launch of GitLink, a powerful Git integration that revolutionizes the way business data workflows are managed. With GitLink, Census empowers businesses to apply software engineering best practices to their customer data pipelines, ensuring governance, version control, testing, and peer review capabilities. “Traditionally, data integration solutions like Customer Data Platforms (CDPs) compromise governance and observability for user-friendliness,” said Jeff Sloan, Product Manager at Census. “We don’t think that tradeoff should exist. Our core belief is that your data activation workflows deserve the same care and attention as production-grade software.” The Census Data Activation platform uses Reverse ETL (extract, transform, load) to sync cloud data warehouses with business applications in real time, empowering businesses to unlock the full potential of their customer data. With Census, companies can seamlessly activate and sync customer data across various marketing and business tools, driving personalization, automation, and targeting. By combining the benefits of code and no-code approaches, Census bridges the gap between self-service and governance, enabling collaboration between marketers and data teams. Census GitLink syncs configuration bi-directionally between the user’s Census workspace and Git repository, empowering businesses to harness the full potential of data activation as code. Key features include: Data activation as code. Create, edit, and review Census SQL Models and Syncs directly in simple, well-defined YAML files. Bi-directional syncs. Easily make changes either in code or in the Census UI. Version control and seamless rollbacks. View all changes to your Census configuration, and roll back any mistaken changes with the power of Git. Automated integration testing. Census enables continuous integration (CI) checks on pull requests in your Git repository, and provides insight into what changes will occur in Census, or if any changes are invalid. Governance for every use case. Enable any approval flow your team needs. Fully govern any Census workspace in Git with view-only access controls + GitLink. Revolutionize your marketing and business operations with software engineering best practices. To learn more about Census GitLink, read the announcement here. About Census Census turns data warehouses into a hub for marketing and business operations, empowering everyone with trustworthy and actionable data from a single source of truth. With its Data Activation platform, powered by reverse ETL (extract, transfer, and load), data teams can validate and publish analytics directly into all their applications in real time. Hundreds of companies like Canva, Figma, Loom, and Notion use Census to sync billions of records to empower their customer success, sales, and marketing teams. Census is backed by Andreessen Horowitz, Insight Partners, Sequoia, and Tiger Global. For more information, visit www.getcensus.com or follow @census on Twitter.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

ArangoDB Boosts Performance and Usability Across Search, Graph, and Analytics with Release of ArangoDB 3.11

PRWeb | May 31, 2023

ArangoDB, the company behind the most complete graph data and analytics platform, today announced the GA release of ArangoDB 3.11 to accelerate its performance across search, graph, and analytics use cases. ArangoDB 3.11 includes performance improvements for ArangoSearch, ArangoDB’s natively-integrated full-text search and ranking engine, as well as new functionality to its web interface to simplify the database’s operations. “ArangoDB 3.11 is designed to take the capabilities of advanced search and analytics to new heights, while also introducing a wealth of new performance, usability, and operational improvements,” said Jörg Schad, PhD, CTO at ArangoDB. “With today’s release, ArangoDB runs even faster and is more intuitive to use, allowing our customers and community to continue to unlock insights that help them optimize decision-making and accelerate innovation.” New functionality in ArangoDB 3.11 includes: Faster query performance across search and graph: ArangoDB 3.11 brings new functionality to ArangoSearch that improves its performance. New column caching options allow for common values to be stored in memory, and a new Analyzer for GeoJSON data stores geo-spatial data more efficiently. In addition, reduced memory usage of in-memory edge indexes as well as index cache refilling accelerate graph traversal performance while consuming fewer resources. Improved user experience for database administration and management: With new features available in its web interface, even more of ArangoDB’s capabilities can be managed outside of the command line in a user-friendly graphical interface. The graph viewer for visualizing named graphs has received substantial improvements as well as new functionality. It has been reimplemented based on the vis.js library, the interface has been streamlined and rewritten to use the React framework, and overall performance has been improved. New features include the ability to search the visible graph to center a specific vertex, as well as by Start node. New functionality for ArangoSearch has also been added to ArangoDB’s web interface, including a search-alias View to create and manage search views, the ability to create inverted indexes on collections, as well as a new sorting mechanism and search box for Saved Queries to make it simpler to find relevant queries and discover which ones have been created or used recently. Data science and analytics operational enhancements: ArangoDB 3.11 offers persisted Pregel execution statistics to better assist data science and graph analytics use cases. Further features in ArangoDB 3.11 include parallel gather, write-write conflict improvements, various performance enhancements across AQL (the ArangoDB Query Language), new server options, and more. Packaging and availability ArangoDB 3.11 is available immediately. All new features are included in both the open source ArangoDB Community Edition and the commercial ArangoDB Enterprise Edition, except for column caching and the geo_s2 Analyzer, which are Enterprise only. ArangoDB 3.11 is available for download as a self-managed deployment here, as well as on ArangoGraph Insights Platform, ArangoDB’s managed service. About ArangoDB ArangoDB is the company behind ArangoGraph Insights Platform: a next-generation graph data and analytics platform that uncovers insights in data that are difficult or impossible with traditional SQL, document, or even other graph databases – making it easier to drive value from connected data, faster. ArangoGraph Insights Platform is the scalable backbone for graph analytics and complex data architectures for thousands of Fortune 500 enterprises and innovative startups across many different industries, including financial services, healthcare, and telecommunications. Founded in 2015 in Cologne, Germany, ArangoDB Inc. is a venture-backed, next-generation graph data and analytics company headquartered in San Francisco, California, with offices and employees worldwide. Learn more at http://www.arangodb.com.

Read More

BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE

Latest Couchbase Capella Release Features New Developer Platform Integrations and Greater Enterprise Features

Prnewswire | June 02, 2023

Couchbase, Inc. (NASDAQ: BASE), the cloud database platform company, today announced a broad range of enhancements to its industry-leading Database-as-a-Service Couchbase Capella™. The newest release of Capella will be accessible by popular developer platform Netlify and features a new Visual Studio Code (VS Code) extension, making it easier for developers and development teams to build modern applications on Capella, streamline their workflows and increase productivity. Coinciding with National Cloud Database Day, Couchbase is also extending its enterprise deployability and introducing new features, allowing customers to move more applications to Capella with a lower TCO. "The reality is that developers don't want to spend their time operating and integrating separate primitives. Capella's new developer platform integrations aim to address this widespread issue, minimizing the developer experience gap and allowing teams to focus on what they do best — writing code and solving problems," said Rachel Stephens, senior analyst at RedMonk. Simplifying the Developer Experience With Netlify, VS Code and Capella Findings from Couchbase's recent developer survey reveal that the majority of developers (94.9%) are currently at or over their work capacity and are on the brink of or already feeling overwhelmed. To reduce this friction and help developers lower their number of operational tasks, Couchbase is extending Capella to more of the developer platform ecosystem that is highly favored by frontend and full stack developers. The new integration for Capella makes it easy for developers to connect to Netlify for more simplified and agile web application development. In addition, the new VS Code extension is designed to provide a seamless experience for Capella users who want to work within the popular source-code editor. These ecosystem enhancements are now available and reduce friction so that developers can focus on building innovative modern apps. "Netlify's platform unites an extensive ecosystem of technologies, services and APIs into one workflow to empower developers to build composable web experiences with the tools that best suit their needs. In this way, Netlify meets their users where they are, allowing them to embrace the composable web in a manner that respects their existing businesses, while also balancing flexibility and enterprise-grade reliability. I'm a strong believer that when the ecosystem wins, we all win. That's why we're so excited to deepen our ties with Couchbase to strengthen and diversify the ecosystem of tools developers are using to build the modern web," said Chris Bach, co-founder and chief strategy and creative officer at Netlify. Broader Enterprise Deployability and New Enterprise Features Couchbase is also broadening Capella's enterprise features and deployability so customers can move more applications to the cloud database platform. The new Capella enhancements deliver the following benefits: Support for time series data. A new time series array function in Couchbase's support for JSON will enable a broader set of use cases, such as IoT or finance apps. By using time series arrays, Couchbase is able to utilize all of its data access, processing and storage features including its patented array indexing and high-density storage engine. This approach will enable development teams to quickly and easily extend new features to their applications without adding complexity to their architecture or infrastructure, allowing them to be more agile and productive while driving cost efficiency. Extending deployability of Capella. Couchbase has added over 10 new supported regions across the three major cloud service providers and larger instance sizes. Capella is also available directly in each of their marketplaces. Capella adds support for memory-only buckets (ephemeral databases) for caching and transient data use cases. Security and compliance capabilities are enhanced through Google Cloud HIPAA compliance and with private endpoints for Azure. Enhanced management. Managing Capella is even easier now with the introduction of dynamic disk scaling, hibernation of clusters and the enabling of downloadable buckets. Also new is change data capture, which recognizes and automates change history on documents. This is then streamable via Kafka to other applications. These enhancements collectively position Capella as a single, comprehensive cloud database platform that offers broad multimodel support and in-memory performance — a powerful combination that lowers TCO for customers. "We continue to broaden the Capella capabilities and make it easier for new developers to come on board and take advantage of our industry-leading cloud database platform," said Scott Anderson, SVP of product management and business operations at Couchbase. "Development teams can get started with Capella more quickly and do more with our cloud database platform, improving efficiency and productivity. And for operations teams, Capella becomes even easier to deploy and manage while broadened enterprise capabilities handle more workloads at a fraction of the cost compared to other document-based DBaaS offerings." The new release of Capella will be generally available in the second quarter. Couchbase will host a webcast on June 7 and 8 to discuss what's new in Capella and how customers can benefit from the latest enhancements. Register here. About Couchbase Modern customer experiences need a flexible database platform that can power applications spanning from cloud to edge and everything in between. Couchbase's mission is to simplify how developers and architects develop, deploy and consume modern applications wherever they are. We have reimagined the database with our fast, flexible and affordable cloud database platform Capella, allowing organizations to quickly build applications that deliver premium experiences to their customers – all with best-in-class price performance. More than 30% of the Fortune 100 trust Couchbase to power their modern applications. For more information, visit www.couchbase.com and follow us on Twitter @couchbase. Couchbase®, the Couchbase logo and the names and marks associated with Couchbase's products are trademarks of Couchbase, Inc. All other trademarks are the property of their respective owners.

Read More

BIG DATA MANAGEMENT, DATA ARCHITECTURE, DATA SCIENCE

Census Announces GitLink to Bring Software Engineering Best Practices to Data Activation Workflows

Businesswire | June 01, 2023

Census, the leading Data Activation and Reverse ETL platform that syncs customer data from data warehouses to over 160 key business tools, today announced the launch of GitLink, a powerful Git integration that revolutionizes the way business data workflows are managed. With GitLink, Census empowers businesses to apply software engineering best practices to their customer data pipelines, ensuring governance, version control, testing, and peer review capabilities. “Traditionally, data integration solutions like Customer Data Platforms (CDPs) compromise governance and observability for user-friendliness,” said Jeff Sloan, Product Manager at Census. “We don’t think that tradeoff should exist. Our core belief is that your data activation workflows deserve the same care and attention as production-grade software.” The Census Data Activation platform uses Reverse ETL (extract, transform, load) to sync cloud data warehouses with business applications in real time, empowering businesses to unlock the full potential of their customer data. With Census, companies can seamlessly activate and sync customer data across various marketing and business tools, driving personalization, automation, and targeting. By combining the benefits of code and no-code approaches, Census bridges the gap between self-service and governance, enabling collaboration between marketers and data teams. Census GitLink syncs configuration bi-directionally between the user’s Census workspace and Git repository, empowering businesses to harness the full potential of data activation as code. Key features include: Data activation as code. Create, edit, and review Census SQL Models and Syncs directly in simple, well-defined YAML files. Bi-directional syncs. Easily make changes either in code or in the Census UI. Version control and seamless rollbacks. View all changes to your Census configuration, and roll back any mistaken changes with the power of Git. Automated integration testing. Census enables continuous integration (CI) checks on pull requests in your Git repository, and provides insight into what changes will occur in Census, or if any changes are invalid. Governance for every use case. Enable any approval flow your team needs. Fully govern any Census workspace in Git with view-only access controls + GitLink. Revolutionize your marketing and business operations with software engineering best practices. To learn more about Census GitLink, read the announcement here. About Census Census turns data warehouses into a hub for marketing and business operations, empowering everyone with trustworthy and actionable data from a single source of truth. With its Data Activation platform, powered by reverse ETL (extract, transfer, and load), data teams can validate and publish analytics directly into all their applications in real time. Hundreds of companies like Canva, Figma, Loom, and Notion use Census to sync billions of records to empower their customer success, sales, and marketing teams. Census is backed by Andreessen Horowitz, Insight Partners, Sequoia, and Tiger Global. For more information, visit www.getcensus.com or follow @census on Twitter.

Read More

BIG DATA MANAGEMENT, BUSINESS STRATEGY, DATA SCIENCE

ArangoDB Boosts Performance and Usability Across Search, Graph, and Analytics with Release of ArangoDB 3.11

PRWeb | May 31, 2023

ArangoDB, the company behind the most complete graph data and analytics platform, today announced the GA release of ArangoDB 3.11 to accelerate its performance across search, graph, and analytics use cases. ArangoDB 3.11 includes performance improvements for ArangoSearch, ArangoDB’s natively-integrated full-text search and ranking engine, as well as new functionality to its web interface to simplify the database’s operations. “ArangoDB 3.11 is designed to take the capabilities of advanced search and analytics to new heights, while also introducing a wealth of new performance, usability, and operational improvements,” said Jörg Schad, PhD, CTO at ArangoDB. “With today’s release, ArangoDB runs even faster and is more intuitive to use, allowing our customers and community to continue to unlock insights that help them optimize decision-making and accelerate innovation.” New functionality in ArangoDB 3.11 includes: Faster query performance across search and graph: ArangoDB 3.11 brings new functionality to ArangoSearch that improves its performance. New column caching options allow for common values to be stored in memory, and a new Analyzer for GeoJSON data stores geo-spatial data more efficiently. In addition, reduced memory usage of in-memory edge indexes as well as index cache refilling accelerate graph traversal performance while consuming fewer resources. Improved user experience for database administration and management: With new features available in its web interface, even more of ArangoDB’s capabilities can be managed outside of the command line in a user-friendly graphical interface. The graph viewer for visualizing named graphs has received substantial improvements as well as new functionality. It has been reimplemented based on the vis.js library, the interface has been streamlined and rewritten to use the React framework, and overall performance has been improved. New features include the ability to search the visible graph to center a specific vertex, as well as by Start node. New functionality for ArangoSearch has also been added to ArangoDB’s web interface, including a search-alias View to create and manage search views, the ability to create inverted indexes on collections, as well as a new sorting mechanism and search box for Saved Queries to make it simpler to find relevant queries and discover which ones have been created or used recently. Data science and analytics operational enhancements: ArangoDB 3.11 offers persisted Pregel execution statistics to better assist data science and graph analytics use cases. Further features in ArangoDB 3.11 include parallel gather, write-write conflict improvements, various performance enhancements across AQL (the ArangoDB Query Language), new server options, and more. Packaging and availability ArangoDB 3.11 is available immediately. All new features are included in both the open source ArangoDB Community Edition and the commercial ArangoDB Enterprise Edition, except for column caching and the geo_s2 Analyzer, which are Enterprise only. ArangoDB 3.11 is available for download as a self-managed deployment here, as well as on ArangoGraph Insights Platform, ArangoDB’s managed service. About ArangoDB ArangoDB is the company behind ArangoGraph Insights Platform: a next-generation graph data and analytics platform that uncovers insights in data that are difficult or impossible with traditional SQL, document, or even other graph databases – making it easier to drive value from connected data, faster. ArangoGraph Insights Platform is the scalable backbone for graph analytics and complex data architectures for thousands of Fortune 500 enterprises and innovative startups across many different industries, including financial services, healthcare, and telecommunications. Founded in 2015 in Cologne, Germany, ArangoDB Inc. is a venture-backed, next-generation graph data and analytics company headquartered in San Francisco, California, with offices and employees worldwide. Learn more at http://www.arangodb.com.

Read More

Spotlight

BigID

BigID

BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and ...

Events

Resources