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Does Big Data Spell Big Costs- Impetus Webinar
1.
Impetus Technologies Inc.
Does Big Data Spell Big Costs? 1 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
2.
Outline • Big
Data – Current Scenario • Cost components in a Big Data Warehouse • Best Practices - Reducing the cost of Big Data solutions – Cost of storage – Technologies- What and Where? – Big Data strategies – Our recommendations to reduce TCO 2 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
3.
Big Data –
Current Scenario 2.5 Quintillion Bytes produced every day $6 Trillion Big data cost IDC/EMC $650 Billion 3 © 2014 Impetus Technologies Cost of wasted productivity because of information overload 1ZB Estimated Internet Traffic by 2015 1800EB Size of the digital universe in 2011 90% 90% of the data in the world today has been created in the last two years alone 18 Months Estimated time for the digital universe to double Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
4.
Age of Data
Age of Software Age of Data 4 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
5.
Existing State of
Big Data 5 © 2014 Impetus Technologies Solution
6.
Using Commodity H/w
for Big Data Commodity Hardware • Pros – Build your own – The promise of innovation • Cons – Building reliable storage – $1 per GB – Add the cost of managing / monitoring / hosting 6 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
7.
Using Open Source
& Cloud Computing Open Source – Pros • Software is free !! Glory to the Elephant – Cons • Cost of Training – thinking parallel is not intuitive • Cost of Support – support is not free Cloud Computing – Pros • Rent what you need – Cons • $14,000 a month for 100 TB data – storage only 7 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
8.
Big Data Warehouse-
Cost Components • Initial entry costs- Cost of experimentation • Cost of integration and moving data - Cost of ETL • Query and analytics capability • Manageability • On-going maintenance - Monitoring and tuning • Changing capacity - Additional hardware • Cost of compliance 8 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
9.
Lowering TCO of
Big Data • Hardware – Lower cost of storage – Lower cost of computation • Software – Make things faster – Do more with less 9 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
10.
How to reduce
the cost of storage? – Compress – RainStor and similar solutions • Just make sure your ‘Read Throughput’ is high – Retain all v/s load & process • Setup “data pipelines” or use ILM Principles • Creation and Receipt • Distribution • Use • Maintenance • Disposition – Focus on Big Data but don’t forget the “Small Data” 10 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
11.
Technologies: What and
Where? What? • Open Source vs. Commercial software? • Specialized hardware/appliances vs. commodity hardware? • Vendor lock-in vs. vendor independence? • Cost of latencies? • Cloud? Where? • OLTP - NoSQL v/s OLAP - DW (MapReduce & MPP) 11 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
12.
OLAP: Big Data
Scenarios 12 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
13.
Data Tapping Point,
Cost & Latency 13 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
14.
Indirect Analytics over
Hadoop 14 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
15.
Direct Analytics over
Hadoop 15 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
16.
Analytics over Hadoop
with MPP DW 16 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
17.
Selecting the Right
Technology Key considerations – $ per TB – Business Continuity/ Cost/ Vendor Lock-in – Latency Needs 17 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
18.
Choosing MPP $
per TB Driven – EMC Greenplum – Teradata, Aster – HP Vertica – Oracle Exadata – Netezza – ParAccel – Others 18 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
19.
Faster Map Reduce
& Hadoop Business Continuity/ Cost/ Vendor Lock-in – MapR – HPCC – Hadapt – Pervasive DataRush, HStreaming – Cloud Map Reduce – DataStax – Platform Computing – MARS, GPMR – ParStream 19 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
20.
OLTP: NoSQL Solutions
Latency Needs • Column stores – HBase, Cassandra • Documents stores – MongoDB, CouchDB • Key stores – Redis, Riak etc.; Kyoto Cabinet/Tokyo Tyrant, Berkley • GraphDB – Neo4j • Cloud stores – SimpleDB 20 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
21.
OLTP: New Era
RDBMS Version • Postgres, InfiniDB, Infobright • MySQL Cluster • GridSQL, EnterpriseDB • MS SQL • Sybase IQ • Specialized stores – VoltDB, MarkLogic, Clustrix • Xeround • ParStream • Oracle NoSQL 21 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
22.
Recommendations- Cost Components
of Big Data Warehouse • Initial Entry Costs - Cost of Experimentation We recommend – Follow Best Practices , Learn or Hire • Cost of Integration and Moving Data- Cost of ETL We recommend - Remove costly licensed tools, switch to Map Reduce for ETL or ELT • Manageability - Provisioning, management tools We recommend – Opt for multi-vendor management toolsets, e.g. Impetus Ankush • On-Going Maintenance- Monitoring and Tuning We recommend – Automate! Automate! Automate! • Changing Capacity - Additional Hardware Do you know the GPU? 22 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
23.
Recommendations- Hardware &
Software • Cost of Storage- Compress Data We recommend – Opting for RainStor/ similar solutions • Do More with Less - Faster MR We recommend – MapR/ similar solutions – Acunu and related solutions for NoSQL 23 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
24.
24 © 2014
Impetus Technologies About Impetus
25.
• Strategic partners
for software product engineering and R&D • Thought leaders in cutting-edge technologies • Mature processes and practices that are methodical, yet flexible • Diverse domain expertise 25 © 2014 Impetus Technologies Our Services in Big Data and Analytics Expert Consulting Proof of Concept & Implementation Support Services Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
26.
Big Data Quick
Start Program Three Modules • Gear up (1 day session) • Base Camp (4 day session) • Summit (5 day session) 26 © 2014 Impetus Technologies Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56
27.
27 © 2014
Impetus Technologies Q & A
28.
28 © 2014
Impetus Technologies Thank You Write to us at inquiry@impetus.com Follow us on Twitter @impetustech Recorded version available at http://www.impetus.com/webinar_registration?event=archived&eid=56