BIG DATA MANAGEMENT

Sesame Software Provides Adaptive Data Management Strategies for the Modern Data Lakehouse

Sesame Software | February 25, 2022

Sesame Software
Sesame Software, the innovative leader in Enterprise Data Management and creator of Relational Junction, today announced its Lakehouse Platform, providing simplified data architecture by eliminating the data silos that traditionally separate analytics and data science.

The Relational Junction Lakehouse Platform combines the best elements of data lakes and data warehouses — delivering data management and performance typically found in data warehouses with the low-cost, flexible object stores offered by data lakes.

"A streamlined method to access data is difficult to achieve with a separate cloud data warehouse and data lake." - says Rick Banister, founder, and CEO of Sesame Software. "A data lakehouse offers the best of both worlds – by replacing data silos with a single home for structured, semi-structured, and unstructured data, Relational Junction provides a solid and scalable Lakehouse foundation."

Relational Junction Key Benefits:

  • Provides performance and governance required to support all types of data workloads
  • Hyper-threaded technology delivers massive scale and speed
  • Runs operations on one simplified architecture, avoiding complex, redundant systems
  • Supports advanced analytics, and lower total cost of ownership

Relational Junction: The Lakehouse Foundation

Relational Junction delivers reliability, security, and scalability on your data lake, making it the top data ingest platform to handle vast amounts of data from a wide variety of SaaS applications and databases. With plug-in architecture, new data sources can be added with configuration-only deployment. The platform's scalable architecture continuously evolves with organization-spanning data needs, allowing users easy access to their data and the ability to use how they see fit.

Request a demo to learn more about Relational Junction Junction's Data Lakehouse Platform.

About Sesame Software
Sesame Software is the Enterprise Data Management leader, delivering data rapidly for enhanced reporting and analytics. Sesame Software's patented Relational Junction data platform offers superior solutions for data warehousing, integration, backup, and compliance to fit your business needs. Quickly connect to SaaS, on-premise, and cloud applications for accelerated insights.

Spotlight

You know information archiving is necessary to meet your regulatory, compliance, and data storage requirements. With this checklist, you can ask the questions to identify the essential functions to look for in an information archiving solution, as well as the key questions to ask when it’s time for a serious conversation with potential vendors.


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DATA ARCHITECTURE

Fractal expands cloud AI offerings with the acquisition of Neal Analytics

Fractal | January 12, 2022

Fractal, a global provider of artificial intelligence and advanced analytics to Fortune 500® companies, today announced the acquisition of Neal Analytics, a cloud, data, engineering and AI Microsoft Gold consulting partner, for an undisclosed amount. Neal Analytics strengthens Fractal's AI engineering capabilities & cloud-first offerings on Microsoft's multi cloud ecosystems and enables clients to scale AI and power decisions; It also strengthens Fractal's presence in the Pacific Northwest, Canada, and India. Founded in 2011, Neal Analytics is a Microsoft Gold Consulting Partner supporting its cross-industry clients, such as PepsiCo and Microsoft, in their data-driven transformation initiatives. Neal Analytics' 200+ team brings deep expertise on the Azure stack - across data science, AI & ML, IoT, Edge Computing, BI, application development, migration and modernization, and automation. Neal Analytics also has partnerships with Intel, Nvidia, and Databricks. "We are excited about partnering with Dylan and his talented team at Neal Analytics. They have built a great client-centric, people-oriented culture, and have an impressive track record of solving and scaling AI engineering challenges, especially on the Microsoft platform, for marquee clients. This partnership will accelerate our ability to power data-driven decisions end-to-end for our Fortune® 500 sized clients." Srikanth Velamakanni, Co-founder and Group Chief Executive, Fractal Dylan Dias, CEO, Neal Analytics, said, "This is the successful culmination of a thorough, year-long process. Our goals were to find the best long-term home for Neal's 200+ employees, a platform to scale faster, and the ability to play a bigger role in this fast-accelerating space. Fractal was a clear choice. Our culture and vision are 100% aligned. This is an exciting opportunity to empower our people and work alongside like-minded practitioners to transform businesses with cloud, data, and AI. It will enable Neal Analytics and Fractal to grow and achieve more together." Satish Raman, Chief Strategy Officer, Fractal, said, "Hyperscale cloud infrastructures are enabling organizations to be more agile and improve their business performance to better serve clients. Neal's award-winning experts in Microsoft's Azure and cloud technologies have been helping organizations to securely migrate, modernize and accelerate their business transformation within the cloud for more than a decade. We're delighted that this acquisition of Neal will further strengthen our rapidly growing analytics, AI, and data engineering business in North America." About Fractal Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assist CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, Eugenie.ai to find anomalies in high-velocity data, Samya.ai to drive next-generation Enterprise Revenue Growth Management, Senseforth.ai to automate customer interactions at scale to grow top-line and bottom-line and Analytics Vidhya is the largest Analytics and Data Science community offering industry-focused training programs. About Neal Analytics Neal Analytics is a cloud, data, and AI Microsoft Gold Consulting Partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support. Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value with a focus on right sized and pragmatic approaches towards digital transformation.

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BIG DATA MANAGEMENT

Alteryx Announces New Cloud Capabilities that Empower Businesses to Deploy Analytics at Enterprise Scale

Alteryx | May 19, 2022

Alteryx, Inc., the Analytics Automation Company, today unveiled new advancements that empower enterprises to enable cloud analytics, democratize insights, and ensure data governance. Announced at the annual Alteryx user conference, Inspire, the groundbreaking enhancements simplify and modernize analytics with easy-to-use capabilities to deliver analytics for all. "Democratization of analytics is key to unlocking valuable insights in this rapidly changing business landscape, yet we have found fewer than 30 percent of knowledge workers have access to or are active users of analytics software beyond spreadsheets," said Dan Vesset, group vice president of Analytics and Information Management, IDC. "To become a truly data-driven enterprise, businesses need to leverage analytics solutions that support ubiquitous connectivity to data, rich governance, and powerful, intuitive decision support capabilities." Ubiquitous Connectivity Enables Modern Cloud Analytics Today, data-driven enterprises require analytics automation platforms and data architectures that span cloud, on-premises, and hybrid environments. Organizations are increasingly deploying modern data architectures built on cloud data warehouses and data lakehouses, while also supporting SaaS applications and analytics. Alteryx delivers on these needs by offering intelligent data transformation and insights in the cloud at scale. Bolstered by its recent acquisition of Trifacta, Alteryx offers enhanced integrations with leading cloud data warehouses including Databricks, Snowflake, and Google BigQuery. The integrations support high-performance native pushdown capabilities, shortening the time to derive insights from big data sets from hours to minutes. "With unmatched scale and flexibility, cloud analytics is key for the future of digital transformation. Coupled with our advanced capabilities in analytics automation and governance, Alteryx leads the way in empowering organizations to easily democratize data for every person, at every skill level. "Our latest innovations enable businesses to become data-driven and overcome potential obstacles including data silos and talent scarcity." Suresh Vittal, chief product officer at Alteryx New Capabilities Deliver Insights with Ease Businesses can further drive analytics automation for all with new, easy-to-use capabilities across the full Alteryx product portfolio. New ease of use capabilities include: Alteryx Designer has been updated for a modern look and feel with new tools, layout icons, and fonts. Alteryx Intelligence Suite includes capabilities for Text Mining and Computer Vision including barcode reader tool, part of speech tool, and key value pair tool. These intelligent tools allow any users to easily analyze unstructured data. Alteryx Auto Insights now comes seamlessly integrated with Designer Desktop and Server. Users can now automatically connect, configure and schedule Auto Insights from their workflows to gain AI-driven insights from their data. Alteryx Machine Learning offers substantial enhancements to predictive Time Series Modeling, including new functionality that allows for trending, seasonality, and increased performance which enables any business user to build machine learning models. Alteryx is starting Early Access for its Metric Store capability. The Metric store will allow enterprises to easily define standard key performance indicators that can be reused by anyone in the organization to rapidly, consistently, and accurately derive insights. Governance Advancements Enable Enterprise Scale Analytics As businesses democratize analytic automation, it is essential to support robust governance practices to protect data integrity. New Alteryx governance capabilities include: Designer Cloud powered by Trifacta, which brings together Alteryx Designer's ease of use with the Trifacta cloud-native multi-tenant architecture, adds SSH tunneling capabilities to enhance security in the cloud. Alteryx now also officially supports persistent and non-persistent Virtual Desktop Infrastructure (VDI) deployments enabling enterprises to easily manage Alteryx in large scale virtualized environments. In all, these latest developments and enhanced cloud connectivity enable Alteryx customers to embrace analytics automation and derive insights across the organization. Alteryx will dive deeper into each of these topics, as well as customer stories, trends, and more at the Inspire 2022 conference. Watch sessions on-demand at alteryx.com/inspire. About Alteryx Alteryx, the Analytics Automation company, is focused on enabling every person to transform data into a breakthrough. Alteryx unifies analytics, data science and business process automation in one, end-to-end platform to accelerate digital transformation and shape the future of analytics automation. Organizations of all sizes, all over the world, rely on Alteryx to deliver high-impact business outcomes and the rapid upskilling of their modern workforce.

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DATA SCIENCE

J.P. Morgan launches U.S. Applied Data Science Value Fund, harnessing the power of data science to amplify expertise in fundamental investing

J.P. Morgan | December 18, 2021

J.P. Morgan Asset Management has recently launched its first mutual fund employing a data science-driven investment process, combining fundamental research, data insights, and risk management to identify attractively priced equity securities. The J.P. Morgan U.S. Applied Data Science Value Fund (JPIVX) combines the firm's decades of information and data sets accumulated by equity research analysts with the breadth and scale provided by J.P. Morgan's data science capabilities. "The end-to-end data science investment process behind the product is the culmination of many years of building, iterating, and improving on the application of AI and ML techniques," said Hamilton Reiner, Head of U.S. Structured Equity for J.P. Morgan Asset Management. "The investment process is driven by machine learning and works off the core belief that there is significant alpha potential in portfolio construction, creating value through both security selection and allocation decisions." The fund represents the collaboration of existing teams including data scientists, technologists, and fundamental analysts. Together the teams created infrastructure to construct a cloud-based process that can analyze information at tremendous scale. "Our investors have long used data as part of their research process. We have used our decades of proprietary data and expertise to build upon that tradition, leveraging the power of the cloud and our data science capabilities in order to analyze an ever-increasing volume of information. We're able to apply that scale of information and insight to our investment decision-making processes," said Mr. Reiner. The firm has been working toward this combination of fundamental investment management and data science for some time, culminating in a new business unit to focus on the application of AI/ML to its business. "We started the build out of our data science and equity data science teams about six years ago and have been applying capabilities across our investment teams,Our new Investment Platform unit seeks to amplify the application of those capabilities, creating future-state strategies for our clients, and bringing under one roof our unique talent in investment data, data science, equity trading & analytics, derivatives and broker relationships." Kristian West, Global Head of Investment Platform for J.P. Morgan Asset Management The U.S. Applied Data Science Value Fund is managed by portfolio managers Eric Moreau, Wonseok Choi, and Andrew Stern, part of the U.S. Structured Equity team led by Hamilton Reiner. About J.P. Morgan Asset Management J.P. Morgan Asset Management, with assets under management of $2.7 trillion (as of 9/30/2021), is a global leader in investment management. J.P. Morgan Asset Management's clients include institutions, retail investors and high net worth individuals in every major market throughout the world. J.P. Morgan Asset Management offers global investment management in equities, fixed income, real estate, hedge funds, private equity and liquidity.

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DATA SCIENCE

Privacera Announces Most Complete Data Access Governance for Diverse Cloud Analytical Workloads

Privacera | May 13, 2022

Privacera, the unified data access governance leader founded by the creators of Apache Ranger™, today announced the release of Privacera Platform 6.3 and PrivaceraCloud 4.3, which offer complete data governance automation and expanded support across the cloud partner ecosystem. The new releases dramatically expand the Privacera Access Governance Platform's ability to secure a diverse and increasing number of data sources and analytical workloads offered by leading public and third-party cloud service providers, such as Google Cloud's BigQuery, Snowflake, AWS, and Starburst. "Privacera pioneered the industry's first SaaS-based data governance and security solution that integrates privacy and compliance across multiple cloud services. Our latest releases not only help organizations use data effectively and responsibly, but also accelerate digital transformation by helping organizations safely migrate data to the cloud, while minimizing compliance risk. By expanding the scope of our platforms, we're even better equipped to guide organizations along their data journeys." Privacera CEO Balaji Ganesan A key milestone with this new release is that Privacera now brings the industry's first comprehensive data access and security governance solution to Google BigQuery. BigQuery, Google's serverless data warehouse solution, is rapidly gaining popularity and with this release we provide fine grained access control and data masking capabilities, as well as the ability to discover and tag sensitive data to help manage data access to data stored and processed in BigQuery. Privacera has also enhanced access control by extending Attribute Based Access Control (ABAC) across all supported data and analytical sources. ABAC is a powerful approach to simplifying and automating data access governance, especially when combined with Privacera's Role Based Access Control (RBAC) and tag-based access control. Privacera's ABAC leverages user attributes, such as region, title, and department when creating data access policies, thus allowing data access based on those attributes. Integration with access management solutions, such as Okta, further automates the data access governance process. The new release also further expands support for Starburst Enterprise by adding encryption to accelerate and improve secure data sharing by automatically encrypting and decrypting data for authorized users or applications when they access it. As a result, data science and analytics teams can securely utilize more data, build and refine predictive and machine learning models, and increase their accuracy, utilizing the full array of features in their organization's data. "We partnered with Privacera two years ago to provide enterprises with centralized, secure access to data with end-to-end governance and compliance," said Starburst co-founder and CEO Justin Borgman. "In a world where data is fundamental to the success of every business, Privacera offers solutions to help move organizations into the future. We look forward to continuing our partnership for years to come." About Privacera Privacera's SaaS-based data security and governance platform enables analytics teams to access data without compromising compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides a single pane of glass for securing sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Starburst and Snowflake. Privacera's platform is utilized by Fortune 500 customers across finance, insurance, life sciences, retail, media, consumer industries and federal agencies/government to automate sensitive data discovery and easily manage high-fidelity policy management at petabyte scale on-prem and in the cloud. Headquartered in Fremont, California, Privacera was founded in 2016 by the creators of Apache Ranger™.

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Spotlight

You know information archiving is necessary to meet your regulatory, compliance, and data storage requirements. With this checklist, you can ask the questions to identify the essential functions to look for in an information archiving solution, as well as the key questions to ask when it’s time for a serious conversation with potential vendors.

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