Blogs

Gearing up for the General Data Protection Regulation

Gearing up for the General Data Protection Regulation

August 23, 2016 | by Gregory Campbell, Information Lifecycle Governance and eDiscovery Legal Consultant, IBM
Now that the General Data Protection Regulation (GDPR) has been published, organizations that operate in the European Union (EU) market and process the personal data of EU data subjects need to understand its implications. Take a look at what you need to know, and the ramifications from...
IBM Big Replicate: Complete resilience through active-active replication

IBM Big Replicate: Complete resilience through active-active replication

August 22, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
And they said resilience—continuous data access in the face of outages, failures and downtime—across distributed data sources is impossible. Yet the recent IBM BigInsights release offers this capability in its IBM Big Replicate technology. Get an inside look at resilience in an interview with Jim...
4 must-have database security essentials

4 must-have database security essentials

August 15, 2016 | by Roger Sanders, DB2 for LUW Offering Manager, IBM
Security and databases are inseparable in this day and age. How can you ensure your data is protected? Take a look at this overview of four security essentials for organizational database environments.
A sneak peek at the future of data migration: The DNA of Bluemix Lift

A sneak peek at the future of data migration: The DNA of Bluemix Lift

August 8, 2016 | by Ben Landrum, Design Manager, IBM
What does dedication to the client experience look like? To create IBM Bluemix Lift, it meant driving from concept to app in 90 days flat.
Introducing BigInsights for Apache Hadoop Basic Plan on Bluemix

Introducing BigInsights for Apache Hadoop Basic Plan on Bluemix

August 3, 2016 | by Rohan Vaidyanathan, Senior Offering Manager, IBM BigInsights, IBM
Developers and data engineers’ horizons are broadening with the advent of technologies designed to help them build and deploy analytics applications quickly and easily. Take part in the open beta of the Basic Plan for IBM BigInsights on Cloud to find out what lies in your future as you build...
Next-generation data scientist: Harnessing an integrated development environment

Next-generation data scientist: Harnessing an integrated development environment

August 1, 2016 | by James Kobielus, Big Data Evangelist, IBM
A day in the life of data science professionals likely involves navigating the challenges and complexities of sourcing, preparing, modeling, developing and governing data, analytics tools and other assets in collaborative environments. Get a glimpse of the roles that compose data science teams and...
The 7 drivers of effective decision optimization

The 7 drivers of effective decision optimization

July 29, 2016 | by Hans Schlenker, Decision Optimization Offering Manager, IBM
To drive coordinated planning across diverse business functions, and deliver huge value to planners and decision-makers, the most efficient approach is to use common decision optimization tools that address business and process specifics.
Insight Ops: The road to a collaborative self-service model

Insight Ops: The road to a collaborative self-service model

July 28, 2016 | by Tim Vincent, IBM Fellow and VP, CTO for Information & Analytics Group, IBM
Now introducing the “Insight Ops” model. This new model will embrace and enable an agile environment for discovery and exploration and manage the transition necessary to deploy the insight to make it actionable.
Unstructured and structured data versus repetitive and non-repetitive data

Unstructured and structured data versus repetitive and non-repetitive data

July 25, 2016 | by W.H. Inmon, Owner, Forest Rim Technology
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
Best of all worlds: A hybrid data warehouse approach that delivers cloud-like flexibility

Best of all worlds: A hybrid data warehouse approach that delivers cloud-like flexibility

July 21, 2016 | by Wendy Lucas, Program Director for Data Warehouse Marketing, IBM
The IBM dashDB Local warehouse solution combines a full range of data warehousing capabilities while delivering the levels of flexibility and control associated with the cloud. Begin your own free trial of dashDB Local today to discover how it can help you bring new levels of capability to your...

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