Big Data: Three Ways to Choose Meaningful Analytics

The NCAA tournament is going to start in a few weeks, and everyone is going to get their basketball winning prediction bracket ready. Quicken Loans, insured by Warren Buffet, is offering $1 billion dollar prize for anyone picking a prefect bracket for the NCAA tournament. While the odds for picking a prefect bracket . . . → Read More: Big Data: Three Ways to Choose Meaningful Analytics

Three Ways to Pursue the Correct Big Data Project

Today’s big data provides more analysis opportunities and puts greater pressure on every company’s business model to produce profits. Now big data analysis can be applied and used to optimize any and all phases of your company’s business model.

Customer sentiment, website clickstreams, sensor data, geo location data, all operations logs, and any structured or . . . → Read More: Three Ways to Pursue the Correct Big Data Project

IBM DB2 Analytics Accelerator: 5 Performance Enhancements in the New Version 4.1

The IBM DB2 Analytics Accelerator (IDAA) continues to be improved, and the Version 4.1 enhancements really help take your SQL program performance to the next level. The following five changes within Version 4.1 of IBM’s DB2 Analytics Accelerator increase its flexibility, availability, workload balancing, and sharing capabilities.

IBM DB2 Analytics Accelerator adoption rate accelerates. The . . . → Read More: IBM DB2 Analytics Accelerator: 5 Performance Enhancements in the New Version 4.1

5 Big Data SQL Performance Tips – Fixing Generated SQL

After implementing a big database with billions of rows, it’s time to run your applications and reports. Hopefully, the database is partitioned so the applications can utilize parallelism and complete your application and reports quickly. When you begin to write your SQL against these tables, take into consideration the first set of DB2 SQL . . . → Read More: 5 Big Data SQL Performance Tips — Fixing Generated SQL

5 Big Data Analytics Success Factors

Everyone is talking about implementing analytics within their company or department and using the power of big data to gain a competitive advantage. Previously, I talked about how to get your analytics efforts going in this blog post (http://davebeulke.com/big-data-five-ways-to-get-analytics-started/). The truth is getting an analytics reporting process into everyday business activities is a difficult task. . . . → Read More: 5 Big Data Analytics Success Factors

Five Data Management Trends for 2014

Another year has come and gone. Content continues to gain mindshare with the CEO as companies that get hacked and individuals on Facebook better understand the importance of governance, security and overall data management issues. Last year’s “Five Data Management Trends for 2013” turned out to be fairly accurate so hopefully I can keep . . . → Read More: Five Data Management Trends for 2014

3 Ways DB2 11 Helps You Handle Schema Chaos

There are many new enhancements in DB2 11 for z/OS, and some of the most important ones are the ones that help data management handle the schema chaos within application development. Since the colleges are not truly teaching data management, modeling, or standard design normalization practices anymore, development constantly changes the data elements within the . . . → Read More: 3 Ways DB2 11 Helps You Handle Schema Chaos

IDUG Europe 2013 - 4 Topics on Everyone’s Mind

This year DB2 celebrates 30 years of helping clients. The IDUG conferences are always great venues to connect with colleagues from around the world. The stories about companies, projects, and tools are very valuable to understand the truth, the hype, what is working, and how it is being done. The following three topics seem to . . . → Read More: IDUG Europe 2013 – 4 Topics on Everyone’s Mind

5 Reasons Why DB2 Is Still the Best Big Data Solution

The race is on among all the vendors to lock your new Big Data project in to their architecture, platform, and support contracts. All the open source Hadoop derivatives have boiled down to the leaders of Cloudera Impala, Teradata SQL-H, EMC Pivotal (formerly GreenPlum) MongoDB, and one of best–IBM’s BigSQL.

All of these vendor’s solutions . . . → Read More: 5 Reasons Why DB2 Is Still the Best Big Data Solution

Big Data Disaster Recovery: 4 Reasons Why DB2 Cloning is Excellent

Big Data disaster recovery is a big issue. Of course, any Big Data business sponsor vows that the entire Big Data database is necessary, and demands it be included in the disaster recovery plans. This requirement makes getting a Big Data disaster recovery sync point and understanding the intimate Big Data processing transaction details to . . . → Read More: Big Data Disaster Recovery: 4 Reasons Why DB2 Cloning is Excellent