New York – Strata Data Conference – Qlik® continues to execute on its mission to supply enterprise customers with end-to-end data management and analytics solutions with two new big data offerings - the latest version of the Podium Data® product and the initial release of Qlik’s Associative Big Data Index available this month. Enterprises need to unlock data’s full value to help users accelerate action and outcomes.
Redwood City, CA - September 11, 2018 - Talend (NASDAQ: TLND), a global leader in cloud integration solutions, today announced it will debut at the Strata Data Conference in New York City a new sandbox that brings sophisticated machine learning technologies to the hands of developers and data engineers so they can easily create smarter data pipelines.
July was a huge month for merger and acquisition (M&A) activity in the BI space. Thoughtspot raised $145 million, Salesforce acquired Datorama, Workday acquired Stories.bi and Tableau acquired Empirical Systems.
Redwood City, CA - August 16, 2018 - Talend(NASDAQ: TLND), a global leader in cloud integration solutions, unveiled a new bulk data uploader for Microsoft Azure SQL Data Warehouse, which helps empower thousands of users across an organization with a fast, flexible and secure cloud data warehouse.
Radnor, PA - Qlik®, a leader in data analytics, today announced the acquisition of Podium Data, an enterprise-grade data management company whose solution simplifies and accelerates customers’ ability to manage, prepare and deliver analytics-ready data to every business user across a diverse data landscape. This acquistion expands Qlik’s mission, moving beyond analytics to being a provider of solutions that democratize data for every user to create a more data literate world.
New and Existing Applications Extend Five Year Partnership; Innovations Showcased at UN’s STI Forum 2018
Partnership to Accelerate Global City Network Access to Actionable Data to Address Climate Risks
Next-Generation Release Provides Integration With Spark for Data and Stream Processing and Kafka for Data Ingestion in Real Time
