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With the rollout of its 2019.2 platform, AtScale is attempting to make accessing and analyzing big data simpler and faster across both different databases and business intelligence platforms. By improving the machine learning and augmented intelligence capabilities of its platform, AtScale's newest release attempts to speed data querying.
July 17, 2019July 17, 2019: AtScale, the data warehouse virtualization company, today announced its new 2019.2 platform release. The latest release augments AtScale’s autonomous data engineering innovations with the introduction of a sophisticated time-series and time-relative analysis capability for large volumes of data across disparate databases and platforms. This new capability enables data analyst and data science teams to have unencumbered access to large volumes of dispersed operational time-series data. Data consumers can quickly query and configure data for their specific business definitions using the business intelligence (BI), artificial intelligence (AI) or machine learning (ML) tools of their choice.
July 16, 2019We're proud to see AtScale on the list of the industry's most impactful companies! The insideBIGDATA IMPACT 50 list is made up of companies who have proven their relevance by the way they’re impacting the enterprise through leading edge products and services.
July 12, 2019The proliferation of BI tools presents organizations with a challenge: each business unit may have selected and implemented its own favorite. This is layered on top of the technical barriers involving legacy data silos, security, data governance . The answer is for companies to let end-users choose the BI tool they prefer, and then make it possible for all these tools to connect to the necessary data.
July 11, 2019Leapfrogging analytics basics and ignoring automation is a sure route to ruin. This article covers these and other real-life suggestions for success from AtScale's CTO Matt Baird, a Silicon Valley veteran.
July 8, 2019A look at how organizations can achieve data independence (being able to do what they want with their data seamlessly), with insights from AtScale's CEO Chris Lynch: “You can’t have big data unless you have all the data."
June 27, 2019The consensus seems to be this: Hadoop isn’t dead, and companies should be looking at it, but for what it can do and not to solve all of their problems. Chris Lynch, CEO of AtScale, says the future is all about managing data in a hybrid manner, split between multiple clouds and on-prem.
June 18, 2019In conjunction with the AtScale 2019.1. platform update release, ChannelBuzz interviewed Dave Mariani, AtScale Co-Founder and Chief Strategy officer about the road to creating AtScale's intelligent data virtualization platform with a built-in universal semantic layer and occupying a unique position in the Big Data and cloud transformation space.
June 18, 2019AtScale's CEO Chris Lynch weighs in on the importance of focusing on the data and not getting sidetracked by promises of new AI technology, following the release of a recent study that says the lack of clean, well-managed, and labeled data is a major impediment for enterprises getting value out of AI.
June 13, 2019There’s always the next vendor with a tool for extracting and moving data from one repository to another. Then there’s AtScale, with software that seeks to break the data pipeline mold, replacing it with a way to semantically accelerate the use of active data sources without requiring the typical migration process.
June 12, 2019AtScale CEO & Executive Chairman Chris Lynch on the acquisition of Tableau by Salesforce: “Integrating the B.I. stack natively into Salesforce’s existing platform creates synergies across the board."
June 12, 2019Longtime Forbes contributor Peter Cohan interviews AtScale CEO and Executive Chairman Chris Lynch for insights on how being purpose-built for the cloud is helping AtScale grow faster than the industry while building a scalable business model, and how AtScale stacks up against and differs from traditional data virtualization technologies.
June 12, 2019Capitalizing on Market Demand for Data Virtualization, Company Appoints Former Storage VP from Citrix to Drive Global Engineering
June 7, 2019Bruno Mirchevski, founder of the HE Group and editor of The Logician, interviewed AtScale's CEO and Executive Chairman Chris Lynch to get his insights on the lessons he's learned that can help other entrepreneurs.
June 6, 2019Chris Lynch, Executive Chairman, and CEO, AtScale comments on the 2019.1 platform update: “There is incredible momentum behind AtScale and our approach to enterprise data warehouse modernization,”.
June 6, 2019Following recent innovations announced in Q1 2019, including AtScale’s integration with Snowflake’s cloud-built data warehouse, AtScale 2019.1 further enables enterprises to modernize operational analytics and business intelligence data across on-premise, hybrid-cloud and multi-cloud deployments.
June 6, 2019AtScale 2019.1 further enables enterprises to modernize operational analytics and business intelligence data across on-premise, hybrid-cloud, and multi-cloud deployments.
June 6, 2019Paul Gillin at siliconANGLE talked to AtScale's Chief Product Officer Scott Howser about the introduction of the AtScale SDK to support to more data platforms faster, native multidimensional support for Microsoft Excel and PowerBI that unlocks business analysis capabilities, and improved security features.
June 6, 2019VMBlog's David Marshall shares AtScale 2019.1 platform highlights, including native multidimensional support for Microsoft Power BI and Excel, accelerated data platform migration with AtScale's Data Platform SDK, advanced analytical query capabilities, and enterprise cloud native identity management with SAML 2.0 support.
June 5, 2019AtScale 2019.1 comes with many new capabilities, including extended database support, increased security and advanced analytical query capabilities.