Is Data Warehousing really dead?

Is Data Warehousing really dead?

Traditional data warehousing was pioneered by Ralph Kimball and Bill Inmon in 1970s to address growing problem of accessing data for reporting and analytics from multiple disparate data sources. Key drivers and goals of data warehousing are: Collect data from multiple sources into a single repository Expose data for reporting and analytics in a performant way Keep full history of data...

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Is Cloudera’s Kudu the next generation analytic data platform?

Cloudera announced the Kudu project at Strata Hadoop World conference in New York in September 2015. What makes Kudu important among over 250 active Apache projects? It is aiming to improve the core foundation of Hadoop – HDFS (Hadoop Distributed File System). Hadoop has been around over 10 years with HDFS being its foundational component providing effective data distribution to support...

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Tips on supercharging your ETL

We live in the era of big data explosion with data volumes growing at exponential pace.  At the same time data driven organizations increasingly demand more real time data availability. Given these trends, ETL performance is quickly gaining business importance. Let’s look at a few approaches that could be considered to maximize performance of data processing.…

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Data Warehouse Architecture: Inmon CIF, Kimball Dimensional or Linstedt Data Vault?

Corporate Information Factory (CIF) data warehouse architecture was pioneered by Bill Inmon. It is also referred to as top-down approach because it represent complete view of enterprise data. Data is stored in 3rd normal form (3NF) closely resembling source system structures. To capture historic data changes timestamps are added to each table key columns.…

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