Blogs

What is Spark?

What is Spark?

Making the complex simple

April 29, 2016 | by Mike Ferguson, Managing Director of Intelligent Business Strategies Limited, Intelligent Business Strategies Limited
Spark just seems to be getting big play everywhere in the technology arena. What is Spark? And do you need it? Get a good glimpse into its in-memory execution capabilities, some of its key components, its integrations and its availability as a service.
Spark: The operating system for big data analytics

Spark: The operating system for big data analytics

April 29, 2016 | by Max Seiden, Lead Spark Engineer, Platfora
Spark’s momentum is building, and it is rapidly emerging as the central technology in analytics ecosystems within organizations. See why Spark’s technical advancements around iterative processing combined with its easy overall environment and tool set for developers make it a true operating system...
What is Hadoop?

What is Hadoop?

Making the complex simple

April 26, 2016 | by Mike Ferguson, Managing Director of Intelligent Business Strategies Limited, Intelligent Business Strategies Limited
The open source Hadoop framework accommodates distributed storage and processing of large data sets on clusters of computers through the use of programming models. If that description sounds complex, then dig into this breakdown of Hadoop components to gain an understanding of just how flexible...
Bridging Spark analytics to cloud data services

Bridging Spark analytics to cloud data services

April 21, 2016 | by James Kobielus, Big Data Evangelist, IBM
Apache Spark not only excels at data warehousing, in-memory environments for building data marts and other functions, it also is well suited for pulling data from a wide range of sources and transforming and cleansing that data in an Apache Hadoop cluster. And then there is Spark’s complementary...

Why big data?

Making the complex simple

April 15, 2016 | by Mike Ferguson, Managing Director of Intelligent Business Strategies Limited, Intelligent Business Strategies Limited
This short series of blogs for the business user is designed to turn key technologies into easy to understand concepts to help explain why they are needed in a modern digital enterprise. When looking at consumer and business transactions in today’s online world, many people may ask, “Why big data...
5 things you missed at Strata + Hadoop World

5 things you missed at Strata + Hadoop World

April 8, 2016 | by Brooke Lawrie, Content Marketing Manager, Data Science, IBM Analytics, IBM
Before the San Jose, California version of Strata + Hadoop World fades from memory, check out these five key experiences that highlighted this conference for data scientists, data engineers, developers and other IT professionals.
Open for Data: Developing open, cloud-based data warehouse architectures

Open for Data: Developing open, cloud-based data warehouse architectures

April 4, 2016 | by Mike Ferguson, Managing Director of Intelligent Business Strategies Limited, Intelligent Business Strategies Limited
On the heels of several key announcements to broaden the IBM Cloud Data Services portfolio, see how a wide range of technologies can be implemented in a cloud-based, data warehouse architecture to support operational and analytical workloads.
Learning and laughter: Open analytics takeaways from Strata + Hadoop World

Learning and laughter: Open analytics takeaways from Strata + Hadoop World

April 4, 2016 | by James Kobielus, Big Data Evangelist, IBM
At the recent Strata + Hadoop World conference, everybody was talking about the growing number of open source solutions. But what does this mean for the rapidly maturing field of data science? Find out in this firsthand report—and get a sense of how open source solutions will take analytics to the...
Migrating production Hadoop clusters on-premises and to the cloud

Migrating production Hadoop clusters on-premises and to the cloud

Can it be done without downtime and data loss?

April 1, 2016 | by Jim Campigli, Chief Product Officer and Co-Founder, WANdisco, Inc.
When migrating Hadoop clusters, whether on-premises or to the cloud, little is gained by a migration that puts a halt to production. By taking a transactional approach to data migration, companies can eliminate downtime without risking data loss, capitalizing on the migration process both during...
Achieving new milestones in open analytics

Achieving new milestones in open analytics

March 31, 2016 | by James Kobielus, Big Data Evangelist, IBM
An open ecosystem thrives on a mature core platform. It also depends on partnering arrangements that incentivize solution providers to continue developing standards-based interoperability around the shared environment. Take a deeper dive into recent announcements of new open ecosystem milestones...

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