• No results found

Safe Harbor Statement

N/A
N/A
Protected

Academic year: 2021

Share "Safe Harbor Statement"

Copied!
62
0
0

Loading.... (view fulltext now)

Full text

(1)

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.

1

(2)

Oracle

Big Data Management and Analytics

Balaji Yelamanchili

Senior Vice President, Product Development

Business Analytics and Big Data

(3)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Big Data

Disruption Digitization

× Datafication

(4)

Key Success Factors

Simplify access to all data

Discover and predict, fast

Govern and

secure all data

(5)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 5

de Persgroep

Customer 360

Improve prospecting Better offers

Increase Share

(6)

Oracle Big Data Strategy

BIG DATA MANAGEMENT

BIG DATA ANALYTICS

BIG DATA APPLICATIONS

BIG DATA INTEGRATION DATA

CAPITAL

Connect And Govern Any Data

Simplify Access To All Data Discover And Predict, Fast

Accelerate Data-

Driven Action

(7)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Actionable Events

Data

Reservoir Data Factory Data

Warehouse BI and Reporting

Discovery Lab

Actionable Information Actionable

Insights

Data Streams

Execution Innovation

Discovery Output Events

& Data

Oracle Big Data Architecture

Oracle Company Confidential 7

Enterprise Data

Web & Social Data

Event Engine

(8)

Breakthrough Innovation: Oracle Big Data Discovery

Oracle Big Data Discovery automatically transforms raw data in Hadoop into interactive, in-memory business intelligence, with no ETL; inspired by Endeca

Spend your time finding insights by starting with data as-is

Radically simplify data prep and Analysis process

Announcement:

OpenWorld

(9)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Oracle Big Data Discovery

Omri Traub

9

Oracle Confidential – Internal/Restricted/Highly Restricted

(10)

Not Easy to Get Analytic Value from Hadoop Data Reservoir

• Existing analytic tools fall short

– Too much effort on upfront data preparation – Manual exploration for understanding new

data sets

– Depend on ETL to cleanse data and make it ready

– Assume questions known in advance

• Only point solutions emerging

– Separate data wrangling, visualization – Leads to constant context switching

• Need end-to-end capabilities

• Native Hadoop tools are complex

– Pig, Oozie, Sqoop, Hive, Spark

• Specialized skills are scarce

– Programming languages

(e.g. Map Reduce, Python, Scala)

– Statistics and machine learning

– Command line interfaces

(11)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Big Data Analytics. Requires a Fundamentally New Approach

11

Explore Transform Discover

Find

An intuitive, interactive and visual user interface

for anyone to quickly find, explore, transform and analyze

data in Hadoop

then share results for

enterprise leverage

(12)

Oracle Big Data Discovery. The Visual Face of Hadoop

Explore

Transform Discover

Find

(13)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

• Navigate a rich catalog of all data in the Hadoop cluster

• Familiar search and guided navigation for ease of use

• Access data set summaries, annotation and

recommendations

Provision your own data through self-service upload

• Data is automatically enriched with extracted locations, terms, sentiment

• Browse personal big data projects and those shared by the community

13

Easily Find Relevant Data Sets

(14)

• Understand shape of the data. Visualize attributes by type

• Machine learning algorithms sort attributes by

importance

• View attribute statistics, data quality and outliers

• See statistical correlations between attribute

combinations

• Evaluate whether a data set is worthy of further

investment

Explore the Data and Understand Potential

(15)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

• Interactive, intuitive user-driven data wrangling

• Library of data transformations to replace values, convert types, collapse, reshape, pivot, group, custom tag, merge and much more

• Data enrichments for inferring location and language. Theme, entity and sentiment

enrichments for text

• Preview results, undo, commit and replay transforms

• Run on sample data in memory or full data set in Hadoop

15

Transform and Enrich Data to Make it Ready

(16)

Mash up different data sets for deeper perspectives

• Filter through data with powerful search and

intuitive guided navigation

Drag and drop from a rich library of interactive

visualizations to compose discovery dashboards

Publish blended data sets back to Hadoop

Share projects, bookmarks and snapshots with team members for collaboration

Analyze the Data to Discover New Insights

(17)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Hadoop

• Oracle R Distribution 1

• Oracle R Advanced Analytics for Hadoop 2

• SAS High Performance Analytics

1 Included with BDA

2 Included w/Oracle Big Data Connectors

Oracle Database

• Oracle Advanced Analytics Option

• SAS High Performance Analytics

Statistical & Predictive Analytics

Bring the Analytics to the Data

(18)

Share Results and Publish for Enterprise Leverage

Share and collaborate with the team

– Share projects, bookmarks and snapshots then collaborate and iterate

Publish back to Hadoop

– Transforms and enrichments may be applied to original data sets in Hadoop

– Publish blended data sets back to HDFS

Leverage results in other tools

– Publish data to Hadoop in format optimized for advanced analytic tools (e.g. ORAAH)

– Hadoop compliant BI tools (e.g. OBIFS) can burst out to the masses

– Leverage any native Hadoop tooling (e.g. Pig, Hive, Impala, Python, etc)

– Integrate BDD data sets with DWH to secure, govern and optimize for query performance (e.g.

Oracle Big Data SQL)

Oracle Big Data Discovery plays well with the Big Data ecosystem

Explore

Transform Discover

Find

Share & Collaborate

raw data

transformed data

data reservoir (HDFS)

Publish

data warehouse business intelligence advanced analytics

other hadoop tools

Leverage

(19)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Oracle Big Data Discovery

Walkthrough

19

Oracle Confidential – Internal/Restricted/Highly Restricted

(20)
(21)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

(22)
(23)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

(24)
(25)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

(26)
(27)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

(28)
(29)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

(30)
(31)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

(32)
(33)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

(34)
(35)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

(36)
(37)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Actionable Events

Data

Reservoir Data Factory Data

Warehouse BI and Reporting

Discovery Lab

Actionable Information Actionable

Insights

Data Streams

Execution Innovation

Discovery Output Events

& Data

Oracle Big Data Architecture

Oracle Company Confidential 37

Enterprise Data

Web & Social Data

Event Engine

(38)

Breakthrough Innovation: Oracle Big Data SQL

One fast query , on all your data.

Oracle SQL on Hadoop, NoSQL and beyond, with a Smart Scan service – as in Exadata – and the security and certainty of Oracle Database.

In production

(39)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Oracle Big Data SQL

Neil Mendelson

39

Oracle Confidential – Internal/Restricted/Highly Restricted

(40)

Barriers to Big Data Adoption

Complexity

• Skills

– Lack tools and training to exploit Big Data

– IT Operations ability administer and manage Big Data

• Integration

– Adding Big Data to existing architecture is complex – Too much effort required in data preparation

• Security

– No clear route to governance or enforcement

(41)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Big Data Management

Hadoop + NoSQL + Relational…

41

The Power of Oracle SQL

Wide variety of ‘Big Data’ types

Structured data

Numeric, string, date, …

Unstructured data

LOBs, Text, XML, JSON, Spatial, Graph, Multimedia

Rich SQL Analytic Functions

Ranking, Windowing, LAG/LEAD, Aggregate, Statistical, Linear

Regression, Correlations, Cross Tabs, Hypothesis Testing,

Distribution Fitting, …

(42)

What gives Exadata extreme performance?

Oracle Database 12c

SQL

Offload Query to Exadata Storage Servers

Small data subset quickly returned

Hadoop & NoSQL

(43)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Introducing Oracle Big Data SQL

43

Massively Parallel SQL Query across Oracle, Hadoop and NoSQL

Oracle Database 12c

Offload Query to Exadata Storage Servers Small data subset

quickly returned

Hadoop & NoSQL Offload Query to

Data Nodes

SQL

data subset

SQL

(44)

Apply Advanced Security on Hadoop & NoSQL

Same security policies apply to Hadoop & Relational

Oracle Database 12c

Small data subset quickly returned

Hadoop

Redacted data subset

SQL

JSON data unconverted

in Hadoop JSON

Customer data in Oracle

DBMS_REDACT.ADD_POLICY(

object_schema => 'txadp_hive_01',

object_name => 'customer_address_ext', column_name => 'ca_street_name',

policy_name => 'customer_address_redaction', function_type => DBMS_REDACT.RANDOM,

expression => 'SYS_CONTEXT(''SYS_SESSION_ROLES'', ''REDACTION_TESTER'')=''TRUE'''

);

• Redaction

• Virtual Private Database

• Fine-grain Access Control

(45)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Oracle Big Data SQL

Walkthrough

45

Oracle Confidential – Internal/Restricted/Highly Restricted

(46)

Easily access all data

(47)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Easily query complex

data

(48)

Build a 360° view

(49)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Oracle Database provides rich security

policies

(50)

Apply those same

policies to data

sourced from Hadoop

(51)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Customer identities

are safe.

(52)

• OBIEE

– Query & Report on Hadoop, NoSQL &

Relational

– Certified with 12c & Big Data SQL

• Endeca

– Use and extend your existing investment

Oracle Business Analytics on Big Data

(53)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Data Governance Foundation

Big Data Integration & Governance Capabilities

Oracle Company Confidential 53

Real-Time Data Movement

– Low impact data staging in Hadoop – Continuous data availability

Data Transformation

– Bulk data movement

– Pushdown data processing

Data Federation

– Query Hadoop SQL via JDBC

Data Quality & Verification

– Fix quality at the source – Verify data consistency

Metadata Management

– Lineage and Impact Analysis – Business Glossary Semantics

Oracle Data Integrator (Transformation)

Enterprise Data Quality

(Profile, Cleanse, Match and De-duplicate)

Fast Load

Oracle GoldenGate (Movement)

Enterprise Metadata Management & Business Glossary (Business Glossary, Data Lineage, Impact Analysis and Data Provenance)

Data Service Integrator (Federation)

Veridata

(Online Data Verification)

ETL Offload &

Machine Learning

Continuous Availability

(54)

The race is on

(55)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

Discovery Lab in a Box

Big Data Appliance X4-2

• 6 Node Starter Rack

– 2 * 8 Core Intel Xeon E5 Processors/Node

– 384 GB / 3 TB (64 GB Memory / expandable to 512 GB/Node)

– 288 TB (48TB Disk space/Node)

Integrated Software

• Oracle Linux, Oracle Java VM

• Oracle Big Data SQL*, Oracle Big Data Connectors*

• Cloudera Distribution of Apache Hadoop – EDH Edition

• Cloudera Manager

• Oracle R Distribution

• Oracle NoSQL Database

55

* Licensed separately

21 %

Cost Savings

33 %

Faster Time to Value

• Ready to Go – just add Data

• Pre-configured, Tuned

• Integrated Management

• Run any 3 rd party software

• Install Exalytics into a BDA Starter Rack

– In-memory Database & Analytics

– OBIEE Certified with 12c & Big Data SQL

– Install Exalytics into BDA Starter Rack

(56)

Cloud Platform: Big Data Analytics

Big Data Service

• Integrated with DBaaS – SQL on Hadoop

• Hadoop 2.0 Cluster

• NoSQL Service – for key value data

• Persistent Data Reservoir – in Storage Service

• Single tenant or multitenant

• IaaS offerings for performance/QOS – commodity with NAS, Big Data Appliance

Big Data Discovery

• The Visual Face of Big Data

• Business user and data scientist collaboration

• Self-service data discovery and exploration to separate signal from noise

• Fully managed infrastructure by Oracle Cloud operations

• Hadoop scalability and cost economies

(57)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 57

How To Get Started

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

BIG DATA MANAGEMENT

BIG DATA ANALYTICS

BIG DATA APPLICATIONS

BIG DATA INTEGRATION CREATE VALUE

FROM DATA

1. Transform the business

(58)

How To Get Started

BIG DATA MANAGEMENT

BIG DATA ANALYTICS

BIG DATA APPLICATIONS

BIG DATA INTEGRATION CREATE VALUE

FROM DATA

1. Transform the business

2. Lay the foundation

(59)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 59

How To Get Started

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. |

BIG DATA INTEGRATION

1. Transform the business 2. Lay the foundation

3. Discovery Lab

BIG DATA ANALYTICS

BIG DATA APPLICATIONS

CREATE VALUE FROM DATA

BIG DATA

MANAGEMENT

(60)
(61)

Copyright © 2014 Oracle and/or its affiliates. All rights reserved. | 61

(62)

Oracle Big Data Stack

z

BY INDUSTRY & LINE OF BUSINESS

B IG D A TA APP LI C A TI O N S

DISCOVERY

B USINE SS AN AL YTI C S

BUSINESS ANALYTICS

DATA RESERVOIR

B IG D A TA MAN A GEMEN T

DATA WAREHOUSE

SOUR C ES

References

Related documents

Dave Sheridan Vice President, Global Oracle CX Practice Leader (Hitachi Consulting)...

The Access layer enables end users, developers, and application owners access to the service layers (and hosted Cloud applications) as well as the Cloud management interface.

Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers,

Best Practices for Data Redaction Application Security Case Study: Data Redaction at Epsilon.. Wrap-Up

Copyright © 2014 Oracle and/or its affiliates.. All

colon mucosa and may cause especially severe abdominal pain with tenderness mimicking acute appendicitis. SYSTEMIC MANIFESTATIONS ASSOCIATED WITH INFECTIOUS

Visual Studio Application Development Deploy Deploy Database Development Oracle Data Provider for .NET Oracle Developer Tools.. for

Built-in High Availability and Clustering Security / Reliability / Scalability DTrace, Linux Containers, BTRFS, Data Integrity T10 Lower cost for Acquisition and Operations.