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Introduction to Oracle Big Data Discovery

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Introduction to Oracle Big Data Discovery [CON9101]
Chris Lynskey, Vice President, Product Management, Oracle
Ryan Stark, Director Product Management, Oracle
Oracle Big Data Discovery and Oracle Big Data Discovery Cloud Service enable anyone to turn raw data in Hadoop into actionable insight in minutes. For organizations eager to get more value out of Hadoop, Oracle Big Data Discovery allows business analysts and data scientists to find, explore, transform, and analyze data, then easily share results with the big data community. This intuitive data discovery solution means analysts don’t need to learn complex tools or rely only on scarce resources, and data scientists can spend time on high-value analysis instead of being mired in data preparation. Join us in this session to hear how Oracle Big Data Discovery can help your organization take a huge step forward with big data analytics.

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Introduction to Oracle Big Data Discovery

  1. 1. Oracle Big Data Discovery CON9101 - Introduction to Oracle Big Data Discovery
  2. 2. Enterprise Use of Hadoop Continues to Mature 3% 21% More Hadoop 0% 20% 40% 60% 80% Hadoop Workloads Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 76% Less Same More 2 0% ETL Data Science Business Analytics Today Future Only 3% say they will do less with Hadoop over the next 12 months While ETL rules Hadoop’s first phase, Business Analytics will be the focus of Hadoop’s second phase 2015 Hadoop Maturity Survey, conducted by AtScale Inc.
  3. 3. Not Easy to Get Analytic Value at Fast Enough Pace 80% effort typically spent on evaluating and preparing data Data Uncertainty • Not familiar and overwhelming • Potential value not obvious • Requires significant manipulation Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 3 Tool Complexity • Early Hadoop tools only for experts • Existing BI tools not designed for Hadoop • Emerging solutions lack broad capabilities Overly dependent on scarce and highly skilled resources
  4. 4. Requires a Fundamentally New Approach A single intuitive and visual user interface, to... Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 4 quickly transform and enrich it to make it better unlock big data for anyone to discover and share new value find and explore big data to understand its potential find explore transform discover
  5. 5. Oracle Big Data Discovery. The Visual Face of Hadoop Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 5 find explore transform discover
  6. 6. Find • Access a rich, interactive catalog of all data in Hadoop • Familiar search and guided navigation for ease of use Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 6 ease of use • See data set summaries, user annotation and recommendations • Provision personal and enterprise data to Hadoop via self- service
  7. 7. Explore • Visualize all attributes by type • Sort attributes by information potential Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 7 • Assess attribute statistics, data quality and outliers • Use scratch pad to uncover correlations between attributes
  8. 8. • Intuitive, user driven data wrangling • Extensive library of powerful data transformations and Transform Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 88 transformations and enrichments • Preview results, undo, commit and replay transforms • Test on sample data then apply to full data set in Hadoop
  9. 9. • Join and blend data for deeper perspectives • Compose project pages via drag and drop Discover Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 9 drop • Use powerful search and guided navigation to ask questions • See new patterns in rich, interactive data visualizations
  10. 10. Oracle Big Data Discovery. Technical Innovation on Hadoop Oracle Big Data Discovery Workloads Hadoop Cluster (BDA or Commodity Hardware) BDD node name node In-Memory Discovery Indexes • For keyword search, faceted navigation and analytics • Indexes data and organizes as key value pairs Web Studio • Catalog, explore, transform and discover UI’s • Self service data provisioning to Hadoop • Metadata configuration and administration Hadoop 2.x Other Hadoop Workloads MapReduce Spark Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Oracle Confidential – Internal 10 data node data node data node data node name node BDD Data Processing (Spark on YARN) • Profiling: catalog entry creation, data type & language detection, schema configuration • Sampling: dgraph (index) file creation • Transforms: >150 data wrangling functions shipped out-of-the-box • Enrichments: location (geo), text (cleanup, sentiment, entity, key-phrase, whitelist tagging) Self-Service Provisioning & Data Transfer • Personal Data: Import from JDBC, CSV and XLS to HDFS Indexes data and organizes as key value pairs • In-memory, columnar, multi-core architectureHadoop 2.x Filesystem (HDFS) Workload Mgmt (YARN) Metadata (HCatalog) Hive Pig Oracle Big Data SQL (BDA only)
  11. 11. Oracle Big Data Discovery. The Visual Face of HadoopOracle Big Data Discovery. The Visual Face of Hadoop www.oracle.com/bigdatadiscovery

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