Ride the Wave: Taking Inspiration from the 2019 Think Conference

February 22, 2019 by Dinesh Nirmal in Analytics

Every spring, IBM hosts our enormous Think Conference with days of lightning sessions, labs, workshops, presentations, and predictions from some of the smartest people in the world. Every year I come away amazed by what our customers are conceiving and achieving and by the role that we at IBM are able to play.

Watch my latest keynote from IBM Think 2019: Modernizing Your Data Estates for an AI and Multicloud World, where I talk about the path to data estate modernization, with David Bernert, VP Enterprise Architecture, Boeing.

Db2 for z/OS – Thirty-Five and Still Hip

IBM Silicon Valley Lab

April 24, 2018 by Dinesh Nirmal in Analytics, Business of Tech

Db2 for z/OS is one the most business-critical products in the IBM portfolio and remains core to many transaction processing, advanced analytics, and machine learning initiatives.

Looking back…

Opening up the Knowledge Universe: IBM Data Science Experience Comes to a Powerful, Open, Big Data Platform

IBM SIlicon Valley Lab

June 13, 2017 by Dinesh Nirmal in Analytics, Business of Tech

I have just finished presenting at the DataWorks Summit in San Jose. CA. where a partnership between IBM and HortonWorks was announced the aim of which is to help organizations further leverage their Hadoop infrastructures with advanced data science and machine learning capabilities.

IBM BigInsights Basic Plan Ready for a Successful Journey

IBM Silicon Valley Lab

September 08, 2016 by Dinesh Nirmal in Analytics, Business of Tech

It seems to me that more and more companies are adding Apache Hadoop to their mix of technologies in attempts to spend less time in the creation of an Hadoop infrastructure and focus more on gaining the benefits. IBM BigInsights (our implementation of Hadoop) is ready to take on that challenge. It provides a complete solution that is not only open and combines Hadoop and Spark, but also provides the right tools to help make Big Data easier and more scalable, while integrating it seamlessly with SQL, noSQL and other data types.

Apache Spark Continues to Forge Ahead with Help from IBM’s Spark Technology Center

IBM Silicon Valley Lab

August 16, 2016 by Dinesh Nirmal in Analytics, Business of Tech

Apache Spark™ puts both deep and broad advanced analytics capabilities in the hands of the masses. Whether a data scientist, data engineer, analytics app developer or citizen analyst – Spark delivers sophisticated analytics simpler, faster and more efficiently than ever before.

Why a Cloud First Strategy Can Benefit Customers with IBM BigInsights on Cloud

IBM

May 13, 2016 by Dinesh Nirmal in Analytics, Business of Tech

The origins of Apache™Hadoop® go as far back as 2003 in reference to the emergence of a new file system, followed by the introduction of MapReduce and the birth of Hadoop in 2006. It achieved notoriety and fame as the fastest system to sort a terabyte of data and when it became an Apache open source project (Apache Hadoop) it sent a signal that it was ready for prime time. The world never looked back.