‘Tis the holiday season, and I want to thank all my readers for their comments and encouragement. It has been a pleasure and honor working/hearing from all of you. I enjoy the challenges of data management too much, and my curious nature has me continuing to explore and write about all its aspects. Data management . . . → Read More: Five Data Management Trends for 2015
Mobile phone growth, sensor data recording, and social media updates feed big data into our systems. Whether your company likes it or not, startups and the competition are integrating big data and analytics into every aspect of their marketing, products, and operations. Big data system performance system and high-speed database designs have never been as . . . → Read More: 3 Important Big Data Design Points
The International DB2 User Group (IDUG) conference is always great for talking with my long time DB2 friends, DB2 experts who have been working with systems for decades, and other colleagues who know the truth about IT politics, costs, and the real problems we . . . → Read More: IDUG Conference – 4 Reasons Why It’s Extremely Valuable
The persistent struggle to improve application and database performance involves constantly analyzing different aspects of your environment, workload, and configuration. There are many different aspects that interact within your environment that impact overall performance. Database and application I/O performance is one of most important aspects to analyze because it can have a tremendous positive and . . . → Read More: Three Ways to Improve DB2 Database I/O Performance
Companies are always trying everything to gain a competitive edge, but with dysfunctional data procedures, management/CIO turnover, and lean business profits, new data projects face unprecedented difficulties. With the plethora of IT trends, directions and technologies, cloud platforms, big data, and new anemic exotic scripting languages, IT personnel are getting conflicting directions for their project . . . → Read More: Three Ways to Avoid Big Data Chaos
I have talked about many DB2 SQL performance tips before (10 Performance Guidelines and Five Big Data SQL Performance Tips). Dealing recently with tables with tens of billions of rows and crazy generated SQL from GUI interfaces has resulted in these five more SQL performance tips for your big data systems. These five . . . → Read More: Five More SQL Performance Tips for your Big Data
While I have talked a lot about big data through this blog it is really important to remember that our, phones, iPads, Fitbits, and all computers are listening devices. Now even your car’s navigational equipment and black box can tell the latest details of your driving skills—good and bad.
So below are three things that . . . → Read More: Big Data: Three Big Brother Reminders
The last two weeks I have talked about ways to choose meaningful business analytics and then fine tune the focus of your business analytics. This week I talk about the factors needed to further fine tune your analytics into effective results for your company. Some of the ideas might even help you get . . . → Read More: Big Data: Four Factors to Tune your Meaningful Analytics
Last week I talked about ways to choose meaningful analytics. Here are three more ways to make the analytics even better for your big data project.
Focus the analytics only on a specific business aspect. Last week I stressed analytical focus on the money aspects. This week we need to take that focus one . . . → Read More: Big Data: Three More 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 . . . → Read More: Big Data: Three Ways to Choose Meaningful Analytics