Category: Angol

Teradata Universe Prague – New products

2014-04-07

On the first day of the Teradata Universe conference in Prague, Teradata Labs president Scott Gnau announced three main new products.

Teradata 6750

The first announcement is the newest and most powerful member of the Teradata Active EDW family, the 6750 platform .

Technical highlights:

dual 12-core Intel Xeon 2600 V2 CPUs and Netapps E5500 data storage systems resulting in 40% more processing power
8x more memory per cabinet. Combined with the Intelligent Memory capabilities of the Teradata Database, a large portion of queries working with hot data can now be processed in-memory
There is also a 3x increase in Flash/SSD capacity to speed up the rest of the workloads. The Virtual Storage feature moves data automatically between HDDs and SSDs based on access patterns

Teradata Database 15

The next announcement is the latest generation of the Teradata database. Launches today, available immediately.

The new capabilities of Teradata Database 15

Some interesting new capabilities:

Native JSON support. Loading JSON-formatted data from machines, sensors, websites etc. into the DW is quick and easy. Allows agile querying with schema-on-read capabilities.
Developer friendly features. Python, Perl, R and Ruby support for table operators and better scripting.
3D geospatial support with depth/height info added to the traditional lang/lot coordinates used in spatial calculations.

Teradata QueryGrid

The most interesting news is the QueryGrid, which is another step in the “logical datawarehouse” direction. It allows the users to process and query any data of the organization, regardless of the physical location.

The QueryGrid supports the 3 main pillars of the Unified Data Architecture – Teradata EDW, Aster Data discovery platform and Hadoop – but also works with other relational databases including Oracle.

The QueryGrid functionality will be available in the third querter of 2014.

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Hadoop Summit Amsterdam – Day 0

2014-04-02

The European Hadoop Summit in Amsterdam officially starts on Wednesday, but a number of quite interesting meetups took place on Tuesday afternoon, worth to arrive a bit earlier.

There were smaller, dedicated meetups hosted by SAS, Revolution Analytics and Splunk and a large one organized by Netherlands HUG with talks from Andrew Wang, Chris Wensel and Doug Cutting and I picked that one.

The location was a great choice – The Nemo Science Museum.

The meetup was opened by Friso van Vollenhoven from GoDataDriven, a local Hadoop/Big Data consulting company hosting the meetup.

The first speaker was Andrew Wang (@umbrant) from Cloudera, who works on in-memory caching of HDFS files. The talk also referred to the Apache Spark project, comparing the resilient distributed datasets (RDDs) of Spark with the current and planned functionality provided by HDFS caching.

The second talk was delivered by Chris Wensel (@cwensel), founder and CTO of Concurrent, who gave a great overview of Cascading, an application development platform for Hadoop. Cascading is widely used by companies like Twitter to make programming Hadoop apps easier, and has some quite interesting language-specific extensions and APIs including Cascalog for Clojure and Scalding for Scala.

The last speaker was Cloudera’s Doug Cutting (@cutting), who this time chose a non-technical topics and spoke on the benefits and dangers of Big Data. This talk generated the most active discussions, with several people from the audience speaking up.

The slides of the presentations are not yet available, but a few photo has been already uploaded to meetup.com.

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