MongoDB IoT City Tour LONDON: Hadoop and the future of data management. By, Mark Lewis, Cloudera
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Mark Lewis, Senior MArketing Director EMEA, Cloudera. Hadoop and the Future of Data Management. As Hadoop takes the data management market by storm, organisations are evolving the role it plays in the modern data centre. Explore how this disruptive technology is quickly transforming an industry and how you can leverage it today, in combination with MongoDB, to drive meaningful change in your business.
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MongoDB IoT City Tour LONDON: Hadoop and the future of data management. By, Mark Lewis, Cloudera
- 1. 1 Hadoop and the Future of Data Management Mark J. Lewis Senior Director Marketing Europe, Middle East & Africa Twitter: @markjlewis
- 2. 22
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- 9. 9 Information Driven 9 All of these organizations are
- 10. 10 Information Driven 10 All of these organizations needed to change to become
- 11. 11 Expanding Data Requires A New Approach 1980s Bring Data to Compute Compute Data Data ©2014 Cloudera, Inc. 11 All rights reserved. Now Bring Compute to Data Relative size & complexity Data Information-centric businesses use all data: Multi-structured, internal & external data of all types Compute Compute Compute Process-centric businesses use: • Structured data mainly • Internal data only • “Important” data only Compute Compute Data Data
- 12. 4 3 2 1 12 The Old Way: Bringing Data to Compute Complex Architecture • Many special-purpose systems • Moving data around • No complete views Cost of Analytics • Existing systems strained • No agility • “BI backlog” Time to Data • Up-front modeling • Transforms slow • Transforms lose data Missing Data • Leaving data behind • Risk and compliance • High cost of storage EDWS MARTS SERVERS DOCUMENTS STORAGE SEARCH ARCHIVE ERP, CRM, RDBMS, MACHINES FILES, IMAGES, VIDEOS, LOGS, CLICKSTREAMS EXTERNAL DATA SOURCES ©2014 Cloudera, Inc. 12 All rights reserved.
- 13. 13 From Hadoop to an Enterprise Data Hub Open Source Scalable Flexible Cost-Effective ✔ Managed ✖ ✔ ✔ ✔ Open Architecture ✖ Secure and Governed ✖ CLOUDERA’S ENTERPRISE DATA HUB ©2014 Cloudera, Inc. 13 All rights reserved. 3RD PARTY APPS STORAGE FOR ANY TYPE OF DATA UNIFIED, ELASTIC, RESILIENT, BATCH PROCESSING MAPREDUCE ANALYTIC SQL IMPALA SEARCH ENGINE SOLR MACHINE LEARNING SPARK STREAM PROCESSING SPARK STREAMING WORKLOAD MANAGEMENT YARN FILESYSTEM HDFS ONLINE NOSQL HBASE MANAGEMENT CLOUDERA NAVIGATOR DATA MANAGEMENT CLOUDERA MANAGER SYSTEM , SECURE SENTRY
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- 15. 15 The New Way: Bringing Compute to Data 2 SERVERS MARTS EDWS DOCUMENTS STORAGE SEARCH ARCHIVE ERP, CRM, RDBMS, MACHINES FILES, IMAGES, VIDEOS, LOGS, CLICKSTREAMS ESTERNAL DATA SOURCES ©2014 Cloudera, Inc. All rights reserved. Diverse Analytic Platform • Bring applications to data • Combine different workloads on common data (i.e. SQL + Search) • True analytic agility 4 1 3 4 15 Active Compliance Archive • Full fidelity original data • Indefinite time, any source • Lowest cost storage 1 Persistent Staging • One source of data for all analytics • Persist state of transformed data • Significantly faster & cheaper 2 Self-Service Exploratory BI • Simple search + BI tools • “Schema on read” agility • Reduce BI user backlog requests 3
- 16. 16 Your Journey to Achieve Full Potential Operational Efficiency Information Advantage Exploration Data Science ETL Acceleration Cheap Storage EDW Optimization IT Business ©2014 Cloudera, Inc. All Rights Reserved. Consolidation 360° View Advance from Strategy to ROI with Best Practices and Peak Performance
- 17. 17 80% of Those Surveyed Are Planning, or Have Already Begun Big Data Projects Are Augmenting or Replaced Existing Infrastructure (46% of all Respondents): 0% 20% 40% 60% ETL process (Extract Transform Load) Analytic databases Storage EDW (Enterprise Data Warehouse) Mainframes ©2014 Cloudera, Inc. All rights reserved. Key Insight: Multiple Overlapping Use Cases Require Converged Analytics Source: King Research survey, September 2013, 3,922 Respondents
- 18. 18 Thank you! Mark Lewis Twitter @markjlewis 18
Editor's Notes
- Welcome, and thank you for joining us today to learn about Hadoop and the Future of Data Management. Cloudera is the leading provider of software and services built on Apache Hadoop. Our mission is to help our customers Ask Bigger Questions, leveraging all of their data. What do I mean by that? Let’s take a look at some examples of Cloudera customers going beyond traditional analytics.
- Monsanto & John Deere Optimizing crop yield Massive plant / genetics database
- Disney ILM Cost of storage Feasibility No analytics on storage
- Large Investment / Commercial Bank $100 MM Teradata expansion 300,000 ETL flows Now in use by five business units: Card services analytics; EDW; Fraud; GIS; Quantitative Risk
- Retail / Commodity Trading – Skybox Ports and parking lots Skybox uses satellite images to tell traders how busy specific ports are for different types of commodity. It can also tell retailers how busy their shopping areas are by counting the numbers of vehicle in their own and competitors’ parking lots.
- Government and security Combining online and internal database data to identify suspicious behaviors. Detect network intrusions from foreign and domestic attackers.
- Healthcare Patient 360 Structured and unstructured patient data, cohort data, research data.
- Insurance – Allstate 80 years of data across all BUs and geographies Internal and external, traffic patterns, weather, telematic data, EDW data Universal data archive Tune pricing models and products to the individual
- There’s a common thread here. All of these companies are information-driven. Of course, this isn’t a new concept.
- Left: What other infrastructure are you looking to augment or replace with Big Data solutions (Evaluating / planning)? Right: What other infrastructure have you augmented or replaced with Big Data solutions (doing Big Data project)?
- Oh, and one more thing… Kimball webinar. Come by our booth.