Tag: Big Data
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Teradata acquiring Aster Data
This just came in: Teradata acquiring Aster Data. Database consolidation wars is full speed ahead, last month, it was HP acquiring Vertica, last year IBM bought Netezza, and EMC bought Greenplum. So within six months, the four biggest and most promising MPP DB vendors have found a new owner.
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What’s in a Name
Following up on last week’s The meaning of NoSQL, there are quite a number of well thought out articles around CouchOne’s decision to not associate itself with NoSQL: Why Cloud Computing Sells and NoSQL Is Fading about the fact that Cloud was at the same position three years ago, but climbed to hill to success,…
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10 Signs You Need A Big Data Retention Solution
10 Signs You Need A Big Data Retention Solution by Rainstor’s Ramon Chen. The reality, driven by more stringent legislation, governance and extended on-demand accessibility to historical data, is that structured data retention is now fast becoming the #1 imperative for businesses worldwide. The article outlines key signs you need a dedicated solution for Big…
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The meaning of NoSQL
If anyone NoSQL solution vendor’s marketing skills stand out, then it’s certainly CouchOne. First the rebranding from CouchIO to CouchOne, then the awareness of the shift in the general perception of NoSQL away from the generic meaning of ‘not (only) SQL’ to meaning ‘Big Data’ solution. In Moving Away from NoSQL: Why Size Matters and Small…
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Facebook’s New Real-time Messaging System: HBase to Store 135+ Billion Messages a Month
You’ve likely seen Facebook announcement of it’s new Messaging system. They now also have a blog about The Underlying Technology of Messages. And Todd Hoff is dissecting the blog article and adding some context in Facebook’s New Real-time Messaging System: HBase to Store 135+ Billion Messages a Month. This is just crazy. I wonder how…
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The Big Data Era: How Data Strategy Will Change
Doug Henschen’s The Big Data Era: How Data Strategy Will Change is another good piece about the future of BI and Big Data (registration required, or ask Google for freely accessible copies of the article). He mentions lots of different companies, their challenges and how they solved them, so good to get an overview of…
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What’s Essential – And What’s Not – In Big Data Analytics
Very good article about What’s Essential – And What’s Not – In Big Data Analytics. Starts with a Big Data Analytics overview, then dives into the columnar vs. row based DBs debate (only to find that that’s ultimately not generally important, as all these systems are built to scale, and it depends on your data…
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Addressing Big-Data Challenges
Ramon Chen, of Rainstor, in a long, Q&A-styled article about Addressing Big-Data Challenges. Unfortunately I know this behaviour he mentions just too well: At a more granular level, organizations continue to retain critical, structured, transactional data in production system environments far longer than is legally required. These primary systems quickly become bloated and require ongoing…
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Why There Won’t Be a LAMP For Big Data
Stephen O’Grady puts some thoughts into words in Why There Won’t Be a LAMP For Big Data that I also had when reading Edd Dumbill’s The SMAQ stack for big data (Storage, MapReduce and Query). It is not clear to me that we will have, at any point in the future, a LAMP equivalent for…
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The problems with ACID
Danial Abadi throws a lengthy post at the DB world: The problems with ACID, and how to fix them without going NoSQL, introducing an even longer paper that they’re going to present at this months VLDB2010 in Singapore: The Case for Determinism in Database Systems. This is good stuff, basically argueing that the reason people…
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