How To Leverage OBIEE Within A Big Data Architecture

How to Leverage Your Investment in OBIEE Within a Big Data ArchitectureKevin McGinleyOracle ACE DirectorOwner and Co-founderRed Pill AnalyticsJuly 9, 2014

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How To Leverage Your Investment In OBIEE Within A Big Data

Architecture

KEVIN MCGINLEY

@kevin_mcginleymedium.com/@kevin_mcginley linkedin.com/in/kevinmcginley

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Contents

• Connect OBIEE To Hive

• Typical Big Data Architecture Today

• Why Integrate OBIEE With Big Data?

Connect OBIEE To Hive

What Is Hive?

• RDBMS table structures

• ETL capabilities in Hadoop

• SQL-like layer above HDFS

• Auto MapReduce coding

Storage

Filesystem(HDFS)

NoSQL(HBase)

Workload Management

MapReduce

Batch SQL(Hive)

Metadata

A Basic Hive Table & Query

Connect OBIEE To Hive

HiveQL via ODBC

Storage

Filesystem(HDFS)

NoSQL(HBase)

Workload Management

MapReduce

Batch SQL(Hive)

Metadata

• Configure odbc.ini

• Download BI Admin tool ODBC drivers for Hive

• Create ODBC DSN

• Import data structures and create metadata

• Update database type

Configure odbc.ini

odbc.ini file location

Configure a DSN connection for Hive database

Create ODBC DSN

Choose the Hive driver for the ODBC DSN

Create ODBC DSN

Set the Host and Port the same as

odbc.ini fileSet the default database name to the Hive database

Create ODBC DSN

Test the connection

Import Data Structures And Create Metadata

Create new or import into

existing RPD

Select the newly created DSN for

Add the user and password

Most of these won’t apply; keep

the defaults

Select the database or

tables like normal

Update Database Type

Double-click the database

Imported table structure

Change database type to Apache

Hadoop

You are prompted to edit the

connection pool

Select Yes

Verify the call interface is ODBC 2.0

Typical Big Data Architecture Today

OLTP Data Is Loaded Into Data Warehouse

Enterprise Data

Experimenting With New Data Sources In Hadoop

Big DataEnterprise

Sources

Different Visualization Tools

Big DataEnterprise

Sources

Visualization Tools

Constant Data Movement Back And Forth

Big DataEnterprise

Sources

Visualization Tools

Why Integrate OBIEE With Big Data?

Common Visualization Tool = Less Data Movement

Big DataEnterprise

Sources

Visualization Tool

Three Main Reasons To Use OBIEE Across Both

• Streamline data access through common tools

• Provide Hadoop access to users without programming skills

• Federate queries across Hadoop & Oracle database to avoid constant data movement

Federate OBIEE Across RDBMS and Hadoop

Hive Table

Oracle Table

Full Business Model & Presentation Layer

Easy Report Creation

• Easier data visualization capabilities

• Drag-and-drop ease of access

• No new skills to learn

• Centralized data access

• Queries against Hive are slower than against Oracle

• Some data/metadata modeling and manipulation is required

• Might be throw-away work

The Future?

Storage

Filesystem(HDFS)

NoSQL(HBase)

Workload Management

MapReduce

Batch SQL(Hive)

Metadata

Interactive SQL(Impala)

Questions?

How To Leverage OBIEE Within A Big Data Architecture

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