The Future of Hadoop in a Cloud-Based World
Hadoop once presented the promise of economical storage at massive scale, and streamlined processing of petabytes of data. As WANdisco CEO David Richards exp…
Hadoop once presented the promise of economical storage at massive scale, and streamlined processing of petabytes of data. As WANdisco CEO David Richards exp…
MapReduce is a big data analysis model that processes data sets using a parallel algorithm on Hadoop (or similar) clusters. Learn how it works.
Data processing and analytics provider Cloudera is going private to focus on cloud-driven modernization of Hadoop infrastructure.
Here’s a look at how Presto on Apache Spark enables organizations to combine AI processes with ETL (extract, transform, and load) to enable data analytics.
Hadoop promises to provide a robust and cost-effective data storage system that is currently deployed across industries, but is Hadoop still delivering on i…
Previous data lake technologies, including platforms built on Hadoop, have largely failed to scale and provide performant analytics due to their centralized, monolithic architectures. New adaptive analytics fabrics enable agile analytics by combining intelligent data virtualization and autonomous data engineering.
Cloud computing not only reduces costs, but also makes a wide array of applications available to smaller companies. The combination of availability and lowe…
Ravi Mayuram, Couchbase CTO on why NoSQL will just be called “databases” in the next five years, and why the barriers between databases and applications will break down in the future.
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Expert Article on Data Management Trends by Emily Washington, Senior Vice President of Product Management, Infogix