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Lynda - Transitioning from Data Warehousing to Big Data
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Lynda - Transitioning from Data Warehousing to Big Data

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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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024 Monitoring and measuring success.mp416.04 MiB
019 Countering the anti-big-data argument.mp415.81 MiB
018 Understanding architectural alternatives.mp415.16 MiB
023 Managing a big-data-driven DW project.mp414.53 MiB
021 Building your roadmap.mp413.34 MiB
014 Comparing big data ELT with traditional ETL.mp413.12 MiB
016 Exploring the evolution of DW with Hadoop.mp412.83 MiB
003 Reviewing BI-DW history.mp411.73 MiB
013 Looking at two Hadoop DW approaches.mp411.7 MiB
007 Taking a critical look at BI.mp411.37 MiB
006 Understanding today`s analytics.mp410.2 MiB
015 Applying SQL to Hadoop.mp410.19 MiB
008 Examining traditional data warehousing.mp49.79 MiB
017 Assessing the state of your data and analytics.mp49.63 MiB
004 Looking at big data.mp49.61 MiB
005 Exploring the Hadoop ecosystem.mp49.48 MiB
020 Exploring vendor alternatives.mp49.27 MiB
022 Assembling your development team.mp48.33 MiB
010 Confronting data-mart fragmentation problems.mp48.19 MiB
009 Examining data warehouse methodologies.mp48.14 MiB
012 Addressing the analytics gap.mp47.07 MiB
011 Looking at real-time data warehousing.mp45.75 MiB
001 Welcome.mp45.35 MiB
002 What you should know.mp42.75 MiB
025 Next steps.mp42.43 MiB