Hadoop

Hadoop and the big data opportunity

April 7, 2014
According to Forrester Research in their recent Hadoop Solutions Wave, “Hadoop is a solution to the problem of big data.” I have a slightly different take on this statement: "Hadoop is a solution to the opportunity of big data." Hadoop is effective for managing vast, diverse and varied data, and, when combined with data warehousing, security and visualization capabilities, Hadoop creates a modern data management strategy. Whether your business objectives are to monitor log files, understand customer sentiment, analyze click stream data or a number of other use cases, Hadoop may be the missing link in your architecture to capitalize on the opportunities presented by big data.   Read More

Big data strategy Twitter chat recap

March 27, 2014
I recently participated in a Twitter chat on big data strategy hosted by @IBMbigdata. Read More

Analytics and Hadoop: Friends or foes?

March 24, 2014
For many, Hadoop is synonymous with big data and its Vs, often closely linked to analytics. Businesses are then trying to understand what solution is best for them. Is it Hadoop,analytics, both? In our next #BigDataMgmt Twitter chat, March 26th 12 ET we will discuss how Hadoop and analytics play together.  Read More

Ready-to-warehouse: It’s time for the thoroughly modern makeover

March 19, 2014
Does your warehouse need a modern makeover? Data warehouse modernization is about more than just offloading data into Hadoop. It’s about using new technologies like in-memory, stream computing, Hadoop and appliances to optimize the warehouse environment, all while building confidence in your data.  Read More

Big data challenges

March 17, 2014
The business environment is shifting and a new era of computing is upon us. As with all emerging markets this can present significant challenges. Every time there is major technology or market shift, there is a real opportunity for new leaders to emerge as others stumble and fail. Read More

Spelling "big data integration" from enterprise alphabet soup

March 14, 2014
When it comes to talking about big data technology, there's a big bowl of alphabet soup to digest: noSQL, EDW, HBASE, ETL, BI, ERP, JAQL and many others. Don't "Pig" out on the soup to the point where you break out in "Hives"—join us as we discuss the technology issues and help you understand what's needed to integrate big data. Our special guest for the chat is John Myers (@johnlmyers44), senior analyst for EMA’s business intelligence and data warehousing practice; moderating the chat will be @IBMbigdata. You can follow along—and join the discussion using the hashtag #BigDataMgmt.  Read More

10 can’t miss posts for big data and analytics developers: March edition

March 6, 2014
Do you know how many olives it takes to make that tablespoon of olive oil you just doused on your lunch salad? It takes a big pile of olives. More than 50. Read More

Big Blue walks the red carpet: The Forrester Wave on big data Hadoop solutions

March 4, 2014
Forrester recently released its 2014 Forrester Wave for Big Data Hadoop Solutions, the first update since the inaugural Forrester Wave on Hadoop in 2012. Once again, IBM was named a leader for IBM InfoSphere BigInsights, recognized for our enterprise capabilities that contribute to a complete big data solution.  Read More

The downside of ignoring big data

February 26, 2014
At a recent IBM Big Data Integration and Governance Forum one of the questions from the audience was “Why do I need to do big data—what if I ignore big data?”  Read More

#BigDataMgmt chat recap: Search meets big data

February 17, 2014
Most organizations are feeling the pressure to move big data initiatives past the discussion phase and toward well-planned projects. To what extent can a complete view of all of the available information help organizations gain deeper insights and make better decisions? Read More

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