IBM Db2 Big SQL

6.18.18

By Rob Thomas, General Manager, IBM Analytics. This story first appeared on the IBM Big Data & Analytics Hub. Data is driving business. And as volumes climb with no end in...

Last year IBM and Hortonworks jointly announced a strategic and deep partnership. Join us as we take a close look at the partnership accomplishments and the conjoined road ahead with...

Every division in an organization builds its own database to keep track of its business. When the organization becomes big, those individual databases grow as well. The data from each...

3.16.18

Hortonworks and IBM’s partnership has brought multiple joint solutions for Global Data Management to the market. From HDP on Power Systems and Spectrum Scale Storage which provides customers fast access...

11.30.17

On November 16, we hosted the Modernize your Existing EDW with IBM Big SQL and Hortonworks Data Platform webinar with speakers from Hortonworks, Carter Shanklin and Roni Fontaine, and IBM,...

10.12.17

Guest author Nagapriya Tiruthani, Offering Manager, IBM Big SQL, IBM Why Big SQL? Enterprise Data Warehousing (EDW) emerged as a logical home for all enterprise data that captures the essence of...

Public sector organizations face complex challenges managing their data. Technology is constantly moving forward, and with this forward motion come new data sources (the Internet of Things and sensor-enabled equipment,...

8.14.18

IN HDF 3.1, we announced support for Apache Kafka 1.0 with powerful integrations with Apache Ambari, Apache Ranger, and Apache Atlas. In the last 12 months, we have seen Kafka emerge as...

9.6.18

Hortonworks DataFlow (HDF) is the complete solution that addresses the most complex streaming architectures of today’s enterprises. More than 20 billion IoT devices are active on the planet today and...

8.10.18

  The Hortonworks HDP product and engineering teams are excited to share details on Apache Hadoop 3.x over a series of blogs. Please check out blogs we already published for...

8.23.18

Apache Hadoop YARN is the modern distributed operating system for big data applications. In Apache Hadoop 3.1.0, YARN added a service framework that supports long-running services. This new capability goes...

8.9.18

This is the finale of the blog series (see part 1, part 2, part 3) where having discussed the problem domain, looked at the functional and architectural aspects and prepared...

8.8.18

This is the 3nd blog in the series (see part 1, part 2) where we will walk through the tech stack and prepare the environment. The entire infrastructure is provisioned...