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Partner Webcast – Oracle Big Data Preparation Cloud Service: Transform to Self Service Data Preparation for Business Users

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When you work with data, the perception is that you spend most of your time on analytics. But in reality, you will devote much more time and effort on importing, profiling, cleansing, repairing, standardizing, and enriching your data. With Oracle Big Data Preparation Cloud Service, data preparation time and costs are reduced to a fraction of that of traditional methods.

If you work on projects with mishmash of data sources where content is inconsistent, incomplete and comes in variety of formats, then Oracle Big Data Preparation Cloud Service is the Oracle Cloud service for you.

[Read More @ https://blogs.oracle.com/imc/entry/oracle_big_data_preparation_cloud]

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Partner Webcast – Oracle Big Data Preparation Cloud Service: Transform to Self Service Data Preparation for Business Users

  1. 1. Oracle Big Data Preparation Cloud Service Transform to Self Service Data Preparation for Business Users Jernej Kase Cloud & Digital Partner Programs, Alliance & Channels Oracle EMEA Oracle Confidential – Internal/Restricted/Highly RestrictedCopyright © 2015, Oracle and/or its affiliates. All rights reserved. |
  2. 2. Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | Safe Harbor Statement The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
  3. 3. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | “Big Data’s dirty little secret is that 90% of time spent on a project is devoted to preparing data… After all the preparation work, there isn’t enough time left to do sophisticated analytics on it…” Source: Thomas Davenport - Wall Street Journal, 2014 4 In the past year, data preparation has become indispensable due to its overwhelming contribution to analyses and decision support. Source: Gartner (http://blogs.gartner.com/lakshmi- randall/2015/05/11/whats-next-data-preparation/)
  4. 4. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 5 Data Discovery & Visualization Enterprise Reporting Internet Logs 90% of time is spent WRANGLING DATA MONTHS of effort spent on each new dataset PROGRAMERS writing scripts or complex ETL Enterprise ETL & Data Integration Companies are struggling to derive value from big data initiatives… Traditional methods
  5. 5. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Apache Spark ML + Hadoop + Semantic Graph Any-Structured Business Data 6 Oracle’s Solution: Big Data Preparation Cloud Service Data Preparation  Designed for data domain experts, not programmers  Focused on cleansing, enriching and transforming unstructured business data  Operationalize data flows into ETL or Business Intelligence Key Benefits  Easy to get started with browser based application  Better recommendations engine combines machine learning with semantic technologies  Integrated into Oracle Cloud Data Visualization ETL Processing Enterprise Reporting Ingest from Sources Enrich Publish
  6. 6. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 7 Load Data for Oracle Business Intelligence Cloud Service Easy Publishing to Oracle BICS  Pre-integrated RESTful service connectivity  Shared single sign on access across Oracle Cloud  Common operational support from OPC services Key Benefits  Self Service access from non technical users  Cloud based applications can bypass need for extensive IT support for on premise tech  Accelerated Value by enabling business users to quickly ingest data for operational BI BDP-CS BICS
  7. 7. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 8 Integrated Data Verification, Transformation, and Visualization Intuitive User Interface Knowledge Driven Recommendations Interactive Transform Script Metadata and Data Views Profile Metrics and Visualizations
  8. 8. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 9 Highly Differentiated from Other Data Prep Tools Better Recommendations Engine  Only Data Prep/Wrangling tool to combing Natural Language Processing (Apache NLP) with Machine Learning (Spark ML)  Leverages Linked Open Data graph of domain knowledge Key Benefits  More Efficient Mapping by leveraging a more effective recommendation service  Higher Quality automation “gets it right” more often  Data Enrichment leveraging domain data for enriching sparse data sets Hadoop Oracle Cloud Semantics based Knowledge Graph Spark Machine Learning Natural Language Processing
  9. 9. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 10 Oracle Big Data Preparation Core Capabilities Publish • On Demand or Scheduled • Source / Target Definition • Restful APIs • Event Driven Govern and Monitor • Dashboards • Automated Alerts • Reusable user policies • System Controls • Security • Stats & Metrics Ingest • Import & Ingest • Detect Schema • Cleanse, Normalize & De-duplicate • Detect & Mask Sensitive Data Enrich • Profile • Annotate • Data Classification • Semantic Enrichments • Missing Data Interpolation • Unified solution to prepare unstructured data • Simple to use tooling designed for non-programmers • Unique technology approach combines Machine Learning (ML) with Natural Language Processing (NLP) engine • Powered by Apache Spark, Hadoop, and UIMA • Cloud operated from the Oracle Public Cloud
  10. 10. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Parse Click Stream Logs Repair App Data Classify Social Data Structured Unreliable Unstructured High Velocity Unstructured High Volume Invalid and missing data Sensitive data Embedded information No reliable patterns Embedded information in unstructured text Invalid emails NLP SSN Credit Card Info Entities Big Data Preparation and Enrichment Examples 11 Supported Formats
  11. 11. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 12 What’s New
  12. 12. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | BDP 16.1.3 • Runtime Null Checks – Allows users to define a runtime threshold for number of nulls for a column. – System checks for nulls at runtime and will throw error when user defined threshold is violated – Job details will give users information about which columns violated DQ checks 13
  13. 13. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Custom Reference Knowledge • Knowledge Import Feature – Allows users to import custom knowledge in seconds (CSV or TSV) – Custom Knowledge used to enhance Knowledge Service capabilities • Knowledge Maintenance Page – Allows users to manage reference knowledge • Create • Rename • Activate and Deactivate • Delete 14 Knowledge Service Custom Knowledge Import
  14. 14. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Data Blending Assisted by Relationship Discovery • Data Blending – Empowers Business Analysts to Blend Datasets from Multiple Sources, in any format into a single enriched file ready for downstream processes. • Cross Source Relationship Discovery – Assists Business Analysts by discovering and recommending relations between two datasets that can be used as blend keys – Powerful algorithm leverages deep column profile and fingerprinting 15
  15. 15. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | New and Improved User Interface/User Experience • New Home Screen – Real-time Processing Metrics – Quick Start Menu with Video Assist – Quick Links to Documentation • New Simplified Creation Flows – Asynchronous Ingestion Process 16
  16. 16. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 17 Accelerate Analytics Faster insights from growing data sources Increased collaboration between business and IT for data preparation Lower Development Costs No more custom coding Less IT time spent on data set creation Data experts curate the data Reduce Risks Avoid costly and error prone data curation efforts Data experts work directly on the data – not through requirements docs Deeper Insights with Trustworthy Data Consistent, complete, trustworthy data Data driven decision making Governed data preparation !
  17. 17. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Q&A Jernej Kase ISV Migration Center blog: http://blogs.oracle.com/imc ISV Migration Center email: partner.imc@beehiveonline.oracle.com
  18. 18. Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | Big Data Preparation Cloud Service Demo Jernej Kase Cloud & Digital Partner Programs, Alliance & Channels Oracle EMEA 19
  19. 19. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Getting started with Big Data Preparation Cloud Service cloud.oracle.com/big-data-preparation 20
  20. 20. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 21
  21. 21. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Oracle Partner Hub ISV Migration Center Oracle.com Partner Hub Team Info, Events/Activities Schedule, etc Migration Center Team Blog Webcasts, Howto, Demos, Guides, etc Youtube: OracleIMCteam Slideshare: Oracle_IMC_team twitter.com/OracleIMC plus.google.com/+OracleIMC facebook.com/OracleIMC linkedin.com/groups/Oracle-Partner-Hub-Migration- Center-4535240 feeds.feedburner.com/oracleimc Partner.IMC@beehiveonline.oracle.com

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