EMC and Pivotal today announced the Data Lake Hadoop Bundle 2.0, offering a turn-key offering that combines compute, analytics and storage for customers building scale-out data lakes for predictive ...
Attunity Ltd. (NASDAQ CM: ATTU), a leading provider of Big Data management software solutions, announced the latest release of Attunity Visibility for Hadoop with enhanced technology to enable ...
The fall of MapR caused a rush to judgement about the future of Hadoop. To understand what this means for data initiatives, the viability of Hadoop and data lakes must be separately examined. Data ...
“There is a complex, ever changing landscape of technical and business choices for data lake deployment and optimization,” said Ron Bodkin, president, Think Big, a Teradata company. “We help ...
Call them what you will—online analytical processing (OLAP) databases, enterprise data warehouses (EDWs), massively parallel processing (MPP) databases but databases designed for analytical workloads ...
In this special guest feature, Carole Gunst, Marketing Director at Attunity, offers four best practices for setting up your data lake in Hadoop. Carole is a marketing leader with demonstrated results ...
Oct. 15 — EMC Corporation and Pivotal today announced the Data Lake Hadoop Bundle 2.0, offering a complete turn-key offering featuring compute, analytics and storage for customers building scale-out ...
Data lakes have become a critical solution for enterprises to store and analyze data. A cloud data lake solution offers a number of benefits that make it an ideal tool for managing and processing data ...
We speak to Mat Keep, director of product marketing at MongoDB, about how the NoSQL vendor is extending services beyond the database. MongoDB is making a number of interesting announcements this week ...
FOSTER CITY, Calif., June 12, 2019 — GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache Ignite, today announced the GridGain Data Lake Accelerator, an ...
Data continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data ...
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