BIG DATA MANAGEMENT

AtScale Named Snowflake Premier Partner

AtScale | March 17, 2022

AtScale
AtScale, a leader in providing semantic layer solutions for modern business intelligence and data science teams, has been named a Snowflake Premier Partner. While using the full flexibility and potential of the Snowflake Data Cloud, AtScale can help Snowflake users construct a semantic layer for data and analytics that streamlines and accelerates business intelligence (BI) and data science initiatives.

Tarik Dwiek, Head of Technology Alliances at Snowflake said that “We are thrilled for AtScale to become a Premier Partner for Snowflake. AtScale’s semantic layer provides a single location for defining business metrics and model features that can be consumed across popular BI and artificial intelligence (AI)/machine learning (ML) applications.”

Companies may use AtScale to provide a single source of managed enterprise metrics and analytical dimensions that can be accessed from any BI tool. A semantic layer built on AtScale is a highly scalable method of linking cloud data to data consumers. The combination of AtScale and Snowflake provides a strong platform for teams to build up sophisticated business insight programs, increasing analyst productivity, shortening time to insight, and generating business results from AI/ML and analytics investments.

“By working with AtScale and Snowflake, teams can spend more time discovering insights and less time cleansing and preparing data for use. Most organizations these days utilize multiple data consumption tools, which makes the establishment of a common, consistent source of data even more critical.”

David Mariani, CTO and Founder of AtScale

As a Premier Partner, AtScale has been tested and verified to work seamlessly with Snowflake, providing clients with high-performance access to the company's live cloud data. The two businesses started collaborating in 2019 and have since helped hundreds of joint clients across many industries upgrade their data and analytics programs, simplifying and boosting the process of using data to better decision making and performance. In fact, in 2021, the businesses' combined consumer base grew by more than 200%.

Nick Amabile, CEO of DAS42, a leading provider of cloud-based data analytics consulting and professional services said that “Teaming AtScale’s semantic layer with Snowflake’s Data Cloud creates a powerful platform for customers looking to rapidly drive data-driven decision-making within their organization. A consistent, easy-to-use and scalable data source is critical for today’s fast-moving enterprises.”

Spotlight

Relational Databases have been in use for decades, but with the advent of big data, there is a need to use NoSQL databases to handle the enormous amount of accumulating data. Cassandra is one such data store which has restricted query support. However, there are search servers like elasticsearch that enable extensive querying mechanisms over data indexes. This paper provides an overview of Cassandra and Elasticsearch.

Spotlight

Relational Databases have been in use for decades, but with the advent of big data, there is a need to use NoSQL databases to handle the enormous amount of accumulating data. Cassandra is one such data store which has restricted query support. However, there are search servers like elasticsearch that enable extensive querying mechanisms over data indexes. This paper provides an overview of Cassandra and Elasticsearch.

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BIG DATA MANAGEMENT, DATA ARCHITECTURE, DATA SCIENCE

Volt Active Data Introduces Active(SD)™ for Capitalizing on Streaming Data

Volt Active Data | January 18, 2023

On January 17, 2023, Volt Active Data, an emerging provider of in-memory database platforms to support applications that require consistency, speed, and scale, announced the unveiling of Active Streaming Decisions (Active(SD)™, an ultra high-speed decision-making engine, enabling companies to use the power of the Volt Active Data Platform to issues that other Kafka ecosystem solutions cannot solve. With its foundation in the already combat-tested and proven Volt Active Data architecture, Active(SD) quickly utilize event data directly from Kafka topic areas as the data is generated and where the data is generated, leveraging advanced analytics and machine learning to reveal insights and make instantaneous, mission-critical decisions, which are then reverted back to Kafka so an action can be taken while the data (and resulting action) still remains appropriate. Volt CEO David Flower said, "This is a tremendous opportunity for companies to finally be able to easily add intelligent decisioning to Kafka data streams and thereby fully capitalize on the massive amount of valuable data that Kafka streams into systems." (Source: PR NewsWire) There are a number of ways to use data from Kafka for further processing down the line, such as loading it into a warehouse or data lake for offline processing and reporting. However, Active(SD) is the only product built specifically to optimize event-time, in-stream decisions in less than ten milliseconds to drive real-time actions consciously. This makes it the fastest way for Kafka-powered applications to go from event to action. About Volt Active Data Founded in 2009, The Volt Active Data is a developer of data platforms based in Bedford, MA. The platform lets businesses get the most out of their data and apps by allowing them to grow without compromising accuracy, speed, or consistency. Build on a simplified stack and an ingest-to-action layer that can make decisions in under ten milliseconds, Volt's unique, no-compromises foundation gives businesses the ability to maximize the return on investment (ROI) of their IoT, 5G, AI/ML, and other investments, ensure "five 9's" uptime, save on operational costs, deliver hyper-personalized customer engagement, and prevent fraud and intrusion.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY

ThoughtSpot and dbt Labs announce partnership to help analytics engineers launch self-service analytics

ThoughtSpot | December 19, 2022

ThoughtSpot, the Modern Analytics Cloud company, and dbt Labs, the pioneer in analytics engineering, today announced a formal partnership to bring self service analytics to the modern data stack. The new partnership builds on the two companies’ work in recent months to build robust integrations that deliver tangible business value to shared customers such as Huel, TotallyMoney, Loan Market Group, Chick-fil-a, Nasdaq, Roche and GoSharing. The recent product integrations include bringing dbt models into the ThoughtSpot data workspace and integrating ThoughtSpot with the dbt Semantic Layer. Delivering reliable, trustworthy analytics at scale Businesses of every size in every industry are adopting the modern data stack to tap into the value of their data and deliver customized experiences for customers, optimize operations, and drive revenue for their organizations. They recognize the value of live, interactive data experiences to drive how they make decisions internally, and empower customers and partners to do the same right from within applications and products. Recognizing this potential, however, has required an entire reimagination of the data transformation process. By bringing best practices from software development to the world of data, dbt helps data professionals to operate with more speed, collaboration, and security than ever before. The new partnership between dbt Labs and ThoughtSpot makes it possible to exponentially increase the value of analytics engineering work by making it accessible to every business person through the ease of search. With ThoughtSpot and dbt, customers no longer have to worry about inconsistency or lack of transparency when it comes to their data. Instead, data teams can take advantage of dbt capabilities such as modularity, version control, and testing to ensure they are delivering high fidelity, accurate, trustworthy data models to the broader organization. ThoughtSpot’s platform instantly detects table relationships and metrics defined in dbt, and immediately makes them available to search. Customers are able to reap the benefits of consistent, reliable Live Analytics for their entire business without having to build cumbersome data pipelines. “With ThoughtSpot and dbt, we can quickly model and ship trusted data to generate business insights, saving us hours of productivity a week!” said Jay Kotecha, Senior Data Scientist at Huel. “ThoughtSpot Everywhere made it incredibly easy to turn our vision into reality. We adopted Snowflake to really help us build out our modern data stack as part of this solution, and we’ve recently adopted dbt as our core in-database modeling layer. ThoughtSpot’s direct integration with both Snowflake and dbt is a perfect fit,” said Tran Zha, Senior Software Engineer at Loan Market Group. “The impact of software best practices on the world of data can’t be overstated. What we’re seeing across the ecosystem is really a once in a generation opportunity, driven by this new approach. Organizations who want to capitalize on the opportunity of data can’t just take what worked for them in the last ten years and apply it to today’s world. “They need the vision, the courage, and the tools to break free. That’s why I’m so excited to continue to deepen our relationship with dbt Labs, to help every company experience the benefits of the modern data stack.” Amit Prakash, CTO and Cofounder, ThoughtSpot “In the world of data, it takes a village to truly transform how the market operates. Companies leading the charge here are reimagining every part of their data infrastructure, bringing modern tools and philosophies with them,” said Tristan Handy, CEO and Founder, dbt Labs. “With ThoughtSpot and dbt Cloud, joint customers have the ability to scale their analytics engineering work to the entire business, putting reliable, trustworthy insights at everyone’s fingertips.” About ThoughtSpot ThoughtSpot is the Modern Analytics Cloud company. Our mission is to create a more fact-driven world with the easiest to use analytics platform. With ThoughtSpot, anyone can leverage natural language search and AI to find data insights and tap into the most cutting edge innovations the cloud data ecosystem has to offer. Companies can put the power of their modern data stack in the hands of every employee, extend the value of their data to partners and customers, and automate entire business processes. ThoughtSpot enables everyone within an organization to limitlessly engage with live data regardless of their cloud data platform, making it easy to achieve granular, actionable insights through Live Analytics. Customers can take advantage of ThoughtSpot’s web and mobile applications to improve decision making for every employee. With ThoughtSpot’s developer-friendly platform, ThoughtSpot Everywhere, customers can also bring the Modern Analytics Cloud to their products and services, engaging users and keep them coming back for more.

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BIG DATA MANAGEMENT, PERFORMANCE MANAGEMENT, BUSINESS STRATEGY

Privacera Announce Achieving AWS Data and Analytics Competency Status

Privacera | January 05, 2023

On January 4, 2023, Privacera, a leader in data security governance based on open standards and started by the people who made Apache RangerTM, announced that it had achieved Data and Analytics Competency status in the Data Governance and Security category from Amazon Web Services (AWS). This designation shows that Privacera has proven expertise or technology that helps customers reach their cloud data and analytics goals. Gaining the AWS Data and Analytics Competency sets Privacera apart as an AWS Partner Network (APN) member that offers specialized software or consulting services to assist enterprises in developing, adopting, and deploying complex projects on AWS. To achieve the designation, AWS Partners must have a deep understanding of AWS and be able to deliver solutions that work well on AWS. Enterprise data teams are increasingly using AWS to create heterogeneous data meshes and lakes. The Unified Platform for Data Security and Governance from Privacera helps these teams protect sensitive data and ensure privacy while automating manual governance processes to speed up the time to insights. At the same time, organizations will be able to speed up their cloud migration by using Privacera to securely manage data access policies across various on-premises and cloud data sources from a single governance platform. This will make data migration to AWS easier by increasing automation, making policy management more consistent, and ensuring compliance through an open, consistent, and proven standard. About Privacera Privacera, founded by the creators of Apache RangerTM in 2016, is a SaaS-based data security and access governance platform provider. The company allows data and security teams to simplify data access, privacy, and security for data applications and analytical workloads. The Privacera platform supports compliance with various regulations such as LGPD, GDPR, HIPAA, and CCPA. Privacera offers a single view and set of controls for protecting sensitive data across multiple cloud services, such as Databricks, Snowflake, Starburst, Dremio, and others. The Privacera platform is used by Fortune 500 customers in the life sciences, finance, insurance, media, retail, and consumer industries, as well as by governmental bodies, to manage high-fidelity policies, mask sensitive data, and automate sensitive data discovery at petabyte scale on-premises and in the cloud.

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