Lynda - Transitioning from Data Warehousing to Big Data

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Lynda - Transitioning from Data Warehousing to Big Data (Size: 251.81 MB)
  001 Welcome.mp4 5.35 MB
  002 What you should know.mp4 2.75 MB
  003 Reviewing BI-DW history.mp4 11.73 MB
  004 Looking at big data.mp4 9.61 MB
  005 Exploring the Hadoop ecosystem.mp4 9.48 MB
  006 Understanding today`s analytics.mp4 10.2 MB
  007 Taking a critical look at BI.mp4 11.37 MB
  008 Examining traditional data warehousing.mp4 9.79 MB
  009 Examining data warehouse methodologies.mp4 8.14 MB
  010 Confronting data-mart fragmentation problems.mp4 8.19 MB
  011 Looking at real-time data warehousing.mp4 5.75 MB
  012 Addressing the analytics gap.mp4 7.07 MB
  013 Looking at two Hadoop DW approaches.mp4 11.7 MB
  014 Comparing big data ELT with traditional ETL.mp4 13.12 MB
  015 Applying SQL to Hadoop.mp4 10.19 MB
  016 Exploring the evolution of DW with Hadoop.mp4 12.83 MB
  017 Assessing the state of your data and analytics.mp4 9.63 MB
  018 Understanding architectural alternatives.mp4 15.16 MB
  019 Countering the anti-big-data argument.mp4 15.81 MB
  020 Exploring vendor alternatives.mp4 9.27 MB
  021 Building your roadmap.mp4 13.34 MB
  022 Assembling your development team.mp4 8.33 MB
  023 Managing a big-data-driven DW project.mp4 14.53 MB
  024 Monitoring and measuring success.mp4 16.04 MB
  025 Next steps.mp4 2.43 MB
  ▲ 25 total files

Description


Lynda - Transitioning from Data Warehousing to Big Data

This Course will be good to the Best for DL within 30 days after has been posed, after that it might not be good DL already, please do me favour to continue seeding to keep this torrent alive.

1h 50m Intermediate Aug 06, 2015 | Uploaded in Jan 27, 2016 by 2boweb

Subject: IT
Software: Hadoop
Author: Alan Simon

Big data and analytics have brought an entirely new era of data-driven insights to companies in all industries. Fortunately, those skilled in traditional business intelligence (BI) and data warehousing (DW) represent a fantastic pool of resources to help businesses adopt this new generation of technologies. This course will quickly educate BI/DW professionals in the key aspects of big data and analytics, including its evolution over the last two decades. Alan Simon shows how to take advantage of new architectures and technologies, such as Hadoop, and build on what you already know to plan a roadmap to a better big data solution for your business.
Topics include:
• Exploring big data, Hadoop, and analytics
• Examining the shortcomings of traditional data warehousing
• Comparing big data architectures for next-generation data warehousing
• Understanding alternatives
• Building a roadmap
• Managing big data-driven projects
• Monitoring and measuring success



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