Briefing room 2016-ep04-hpe-vertica_big_data-dez-slides-20160216

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@dez_blanchfield Big Data on Hadoop has for the most part required Big Skills MapReduce & Java is hard WORM vs ACID & OLTP Use Cases limited by design

Transcript of Briefing room 2016-ep04-hpe-vertica_big_data-dez-slides-20160216

Page 1: Briefing room 2016-ep04-hpe-vertica_big_data-dez-slides-20160216

@dez_blanchfield

Big Data on Hadoop has for the most part required Big Skills

• MapReduce & Java is hard

• WORM vs ACID & OLTP

• Use Cases limited by design

Page 2: Briefing room 2016-ep04-hpe-vertica_big_data-dez-slides-20160216

@dez_blanchfield

SQL on Hadoop is about more than just easier access to Data

• Specialist VS Generalist

• Analytics to extract Value

• Enterprise systems & Hadoop

Page 3: Briefing room 2016-ep04-hpe-vertica_big_data-dez-slides-20160216

@dez_blanchfield

The shift from from Batch Mode to Real Time with Hadoop

• Hadoop 1 & YARN still Batch’y

• Traditional Enterprise Users

• We need Off The Shelf options