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BIG DATA MANAGEMENT

AtScale | April 30, 2021

AtScale, a leading provider of semantic layer solutions for advanced business intelligence and data science teams, revealed today native support for Data Analysis Expressions (DAX). DAX is a formula expression language that is used in Analysis Services, Microsoft Power BI, and Power Pivot in Microsoft Excel – and is also used by AtScale. Most notably, Power BI users can connect to AtScale in live connection mode with the native DAX support. Live connections can provide fast and seamless co...

BIG DATA MANAGEMENT

IBM | October 11, 2021

IBM and Deloitte today announced a new offering—DAPPER, an AI-enabled managed analytics solution. The solution reinforces the two organizations' 21-year global alliance—which helps organizations accelerate the adoption of hybrid cloud and AI across the enterprise—and 10 years of experience implementing the Deloitte Analytics Platform. DAPPER's end-to-end capabilities will allow organizations to gain confidence in the insights that their data provides via a secured, simp...

BIG DATA MANAGEMENT

Talend | April 11, 2022

Talend, a global leader in data integration and management, announced today it has acquired Gamma Soft, a market innovator in change data capture (CDC). The addition of Gamma Soft's highly complementary, enterprise-class change data capture technologies will help customers streamline their data modernization initiatives, including cloud migrations, and support advanced, real-time analytics use cases across hybrid and multi-cloud environments. Today, many organizations re...

BIG DATA MANAGEMENT

Alteryx | January 07, 2022

The analytics automation company, Alteryx, Inc. , has announced its acquisition of Trifacta. Trifacta is an award-winning cloud company known for making data analytics faster and more intuitive by deploying scalable data management and machine learning. Enterprise customers deploy modern data architectures based on cloud data warehouses to support SaaS-based applications and analytics. Meanwhile, business users' demand for timely insights from these enormous cloud datasets to ...