re:Invent 2016 Breakout Sessions | Big Data Mini Con - YouTube

			AWS re:Invent 2016: Big Data Architectural Patterns and Best Practices on AWS (BDM201) by Amazon Web Services			1:01:38
			AWS re:Invent 2016: Deep Dive: Amazon EMR Best Practices & Design Patterns (BDM401) by Amazon Web Services			57:06
			AWS re:Invent 2016: Best Practices for Data Warehousing with Amazon Redshift (BDM402) by Amazon Web Services			54:59
			AWS re:Invent 2016: Netflix: Using Amazon S3 as the fabric of our big data ecosystem (BDM306) by Amazon Web Services			46:53
			AWS re:Invent 2016: Visualizing Big Data Insights with Amazon QuickSight (BDM204 ) by Amazon Web Services			39:11
			AWS re:Invent 2016: Analyzing Streaming Data in Real-time with Amazon Kinesis Analytics (BDM304) by Amazon Web Services			55:32
			AWS re:Invent 2016: JustGiving: Serverless Data Pipelines, ETL & Stream Processing (BDM303) by Amazon Web Services			54:06
			AWS re:Invent 2016: Best Practices for Apache Spark on Amazon EMR (BDM301) by Amazon Web Services			51:52
			AWS re:Invent 2016: Real-Time Data Exploration and Analytics (BDM302) by Amazon Web Services			53:11
			AWS re:Invent 2016: FINRA: Building a Secure Data Science Platform on AWS (BDM203) by Amazon Web Services			37:37
			AWS re:Invent 2016: Understanding IoT Data: How to Leverage Amazon Kinesis (BDM206) by Amazon Web Services			54:35
			AWS re:Invent 2016: Beeswax: Building a Real-Time Streaming Data Platform on AWS (BDM403) by Amazon Web Services			51:38
			AWS re:Invent 2016: Big Data Mini Con State of the Union (BDM205) by Amazon Web Services			56:22

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