(Coman Hamilton) The largest ever cache of stolen passwords has been amassed using a simple SQL flaw. A Russian e-crime ring absconded with 1.2 billion passwords from 420,000 websites, the New York Times has learned.
Other News
Parameterized SQL queries
(smarterpoland) Mateusz ¯ó³tak asked me to spread the word about his new R package for parameterized SQL queries. Below you can find the copy of package vignette. If you work with SQL in R you may find it useful.
Sql Server: How to rename a column
Sometimes, we need to rename some column names.
Battle of data formats: JSON vs XML
(Alin) Before comparing JSON and XML formats, let’s start with a brief history lesson about the former data formats (more precisely, the ancestors of XML):
DB2 – HADR Performance Tuning and Diagnostics
(Dave Hay) When the DB2 HADR feature is enabled, the primary database’s transaction logs are replicated to one or more standby databases in real time.
Manage a DB2 database on IBM Bluemix
(Henrik Loeser) I recently showed you how to set up a Python-based application that makes use of the SQL DB service (a.k.a. DB2) on IBM Bluemix. Today I give you a quick introduction into what you can do with the DB2 administration interface that is provided as part of the IBM Managed Database Servi
Use the DB2 with BLU Acceleration Pattern to easily deploy a database
(Ammu Soni, Manoj Ghogale, Kapish Kumar and Sweety Shalini) The Database-as-a-Service (DBaaS) 1.1.0.8 component of the IBM PureApplication System introduced many new features.
HTML5: Tips !!!
(Sandeep Mewara) Long time, since I have blogged. Specifically, this particular post – had all the details and wanted to post more than a year back. I guess, better late than never!
BUCKET_WIDTH: Calculating the size of the bucket
(Brendan Tierney) Some time ago I had some blog posts introducing some of the basic Statistical function available in Oracle. Here are the links to these
Oracle Data Integrator and Hadoop. Is ODI the only ETL tool for Big Data that works?
(Uli Bethke) Both ODI and the Hadoop ecosystem share a common design philosophy. Bring the processing to the data rather than the other way around. Sounds logical, doesn’t it? Why move Terabytes of data around your network if you can process it all in the one place. Why invest millions in additional