"data warehouse" entries

Four short links: 29 October 2013

Four short links: 29 October 2013

Digital Citizenship, Berg Cloud, Data Warehouse, and The Spying Iron

  1. Mozilla Web Literacy Standard — things you should be able to do if you’re to be trusted to be on the web unsupervised. (via BoingBoing)
  2. Berg Cloud Platform — hardware (shield), local network, and cloud glue. Caution: magic ahead!
  3. Sharka large-scale data warehouse system for Spark designed to be compatible with Apache Hive. It can execute Hive QL queries up to 100 times faster than Hive without any modification to the existing data or queries. Shark supports Hive’s query language, metastore, serialization formats, and user-defined functions, providing seamless integration with existing Hive deployments and a familiar, more powerful option for new ones. (via Strata)
  4. The Malware of Thingsa technician opening up an iron included in a batch of Chinese imports to find a “spy chip” with what he called “a little microphone”. Its correspondent said the hidden devices were mostly being used to spread viruses, by connecting to any computer within a 200m (656ft) radius which were using unprotected Wi-Fi networks.
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International Open Government Data Camp looks to build community

In its second year, the camp's organizers aspire to galvanize more governments to open up their data.

The second International Open Government Data Camp will convene advocates, activists, civic media, citizens and officials to exchange ideas, code and expertise in Warsaw, Poland.

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Data integration services combine storage and analysis tools

Companies are looking to help business clients store and analyze data.

IBM Netezza and Revolution R Enterprise announced a new partnership, which together with recent moves by Microsoft and HP signal a growing realization that integrating data storage and analysis provides a better client experience.

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Will data warehousing survive the advent of big data?

Will data warehousing survive the advent of big data?

Analysis: How big data and traditional data warehousing can coexist.

Data warehousing — and information management as a whole — must evolve in a radically new direction if we are to manage big data properly and solve the key issue of finding implicit meaning in data.

Comments: 9