data warehousing

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Latest blogosphere posts tagged “data warehousing”

 

• DB2- Creating Table Spaces

  
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  There are 3 types of Db2 table spaces. Universal Partition-By-Growth (PBG) table spaces. Universal Partition-By-Range (PBR) table spaces Segmented Tables spaces There are LOB and XML table spaces. PBG- Is the default table space. LOB table spaces will be used for BLOB,CLOB and DBCLOB. General Rule: Let ...
  1 week ago

• Data Munging using #rstats Part 1 -Understanding Data Quality

  
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  This is a series of posts on Data Munging using R. we will examine the various ways to input data and examine errors in the data input stage. We will accordingly study ways to detect errors and rectify them using the R language. People estimate that almost 60-70% of a project’s time goes in the data input, data ...
  1 week ago

• ETL – Is it Still Relevant?

  
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  Buzz about Big Data has been at fever pitch for over a year now.  We hear a lot about how the insights we glean will propel businesses, about emerging technologies, and companies merging. But how often do we hear about the guts behind Big Data, what makes it actually work?  Maybe I’m wrong, but from what I read, ...
  1 week ago

• 20 June FCW Presents: Managing Big Data for Results

  
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  By Bob Gourley FCW is presenting an interesting session in DC 20 June 2013 which will focus on the new tools, technologies and management strategies bing developed to help government agencies manage and use their data to gain insights, solve problems and discover new info in their data holdings. Featured speakers ...
  1 week ago

• Understanding SQL Server 2008 and 2008 R2

  
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  AllianceTek Inc, is sharing blog about SQL Server 2008 and 2008 R2 including features of SQL Server 2008 like Data Auditing, Data Security, Performance, Management Capabilities, Storage and Data Warehousing and much more and feature of SQL Server 2008 R2 like PowerPiviot for SharePoint and Excel, Multi-Server ...
  1 week ago

• Data Mining

  
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  A class of database applications that look for hidden patterns in a group ofdata that can be used to predict future behavior. For example, data mining software can help retail companies find customers with common interests. The term is commonly misused to describe software that presents data in new ways. True data ...
  1 week ago

• The Requirements & Solutions of the Hadoop Data Reservoir

  
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  By Bob Gourley This event should be of interest to any enterprise that uses Hadoop and wants to empower analysts directly with new analytical power over their Hadoop clusters. Date:  Tuesday, June 18, 2013 Time:  11am Eastern; 8am Pacific Duration:  1 Hour The success of Hadoop has led many enterprises to ...
  1 week ago

• Facebook unveils Presto engine for querying 250 PB data warehouse

  
  GigaOM — Authority: 784
  At a conference for developers at Facebook headquarters on Thursday, engineers working for the social networking giant revealed that it’s using a new homemade query engine called Presto to do fast interactive analysis on its already enormous 250-petabyte-and-growing data warehouse. More than 850 Facebook employees ...
  1 week ago

• Data Warehousing in the Age of Big Data

  
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  Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence) Data Warehousing in the Age of the Big Data  will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it ...
  2 weeks ago

• Dave DeWitt responds to Daniel Abadi

  
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  A few days ago I posted Daniel Abadi’s thoughts in a discussion of Hadapt, Microsoft PDW (Parallel Data Warehouse)/PolyBase, Pivotal/Greenplum Hawq, and other SQL-Hadoop combinations. This is Dave DeWitt’s response. Emphasis mine. A key point that Daniel seems to be making is that parallel relational ...
  2 weeks ago

• Big Data: Still Early Days? A View From EMC World

  
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  Because my area of expertise and interest is Big Data and Analytics, my experience at EMC World was viewed through this lens. I think this year’s EMC World introduced a number of new ideas related to Cloud, Big Data, Trust, and Virtualization, and featured a tighter coupling of these ideas. If we turn the ...
  2 weeks ago

• How Do You Govern Data Outside of Databases

  
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  Last week in my post , I discussed why you would choose to govern data outside of the database.  Today I will discuss how you do it. Most conversations about Big Data Governance focus on why it is necessary but rarely on how it is done.  The activities performed to set up a Data Governance program, whether ...
  2 weeks ago

• SQL-Hadoop architectures compared

  
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  The genesis of this post is: Dave DeWitt sent me a paper about Microsoft Polybase . I argued with Dave about the differences between Polybase and Hadapt. I asked Daniel Abadi for his opinion. Dan agreed with Dave, in a long email … … that he graciously permitted me to lightly-edit and post. I love my ...
  2 weeks ago

• Don’t let your data warehousing scheme turn into an anchor

  
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  Near constant proliferation of data is something that modern businesses seem to have largely accepted these days.  The solution of course is to simply warehouse it, store the data away somewhere; you never know when you might need it.  After all, what’s the point of facilitating its creation if you’re just going ...
  3 weeks ago

• Big Data Governance: Why Do You Govern Data Outside of Databases?

  
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  On June 19 th , I’ll be speaking at the Data Governance and Information Quality conference in San Diego on “ Data Governance of New Data Types ,” the “new” types of data being data outside of relational databases, where data in databases is the current focus of most Data Governance and Stewardship ...
  3 weeks ago

• IBM BLU

  
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  I had a good chat with IBM about IBM BLU, aka BLU Accelerator or Accleration. BLU basics start: BLU is a part of DB2. BLU works like a columnar analytic DBMS. If you want to do a join combining BLU and non-BLU tables, all the BLU tables are joined first, and the result set is joined to the other tables by the rest ...
  3 weeks ago

• Data skipping

  
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  Way back in 2006, I wrote about a cool Netezza feature called the zone map , which in essence allows you to do partition elimination even in the absence of strict range partitioning. Netezza’s substitute for range partitioning is very simple. Netezza features “zone maps,” which note the minimum and ...
  3 weeks ago

• The Next Episode: Dr. Dre Meets Big Data

  
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  Fight on ! As a USC alum, it’s odd that I cringe when other well-meaning Trojans shriek the school’s battle cry.  But, last week, instead of hearing the bombast of a marching band in my head at the thought of ‘SC’s fight song, I was feelin’ a little more hip-hop. I had a kindred spirit in Dr. Dre. ...
  4 weeks ago

• Why Data Warehousing is important

  
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  You know what they say, you can’t run a large business without some type of inventory on hand; and what do you need to store your supply?  That’s right, some type of warehouse.  Since we’re now living in the so-called “information age”, where data has essentially become intrinsically valuable, virtually ...
  4 weeks ago

• The Liberating “What If” Analytics Cycle

  
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  Ah, the anguish of not knowing the “right” answers.  Organizations struggle with the process of determining the “right” answers, resulting in lots of wasted debates and divisive arguments regarding whose answers are more right.  They even have a name for this debilitating process – “analysis paralysis” ...
  4 weeks ago

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