How To Leverage OBIEE Within A Big Data Architecture

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

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

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How To Leverage Your Investment In OBIEE Within A Big Data

Architecture

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KEVIN MCGINLEY

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


About Red Pill Analytics

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Contents

• Connect OBIEE To Hive

• Typical Big Data Architecture Today

• Why Integrate OBIEE With Big Data?

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Connect OBIEE To Hive


What Is Hive?

• RDBMS table structures

• ETL capabilities in Hadoop

• SQL-like layer above HDFS

• Auto MapReduce coding

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Storage

Filesystem(HDFS)

NoSQL(HBase)

Workload Management

MapReduce

Batch SQL(Hive)

Metadata


A Basic Hive Table & Query

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Connect OBIEE To Hive

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OBIEE

HiveQL via ODBC

Storage

Filesystem(HDFS)

NoSQL(HBase)

Workload Management

MapReduce

Batch SQL(Hive)

Metadata


Steps

• Configure odbc.ini

• Download BI Admin tool ODBC drivers for Hive

• Create ODBC DSN

• Import data structures and create metadata

• Update database type

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Configure odbc.ini

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odbc.ini file location

Configure a DSN connection for Hive database


Create ODBC DSN

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Choose the Hive driver for the ODBC DSN


Create ODBC DSN

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Set the Host and Port the same as

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


Create ODBC DSN

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Test the connection


Import Data Structures And Create Metadata

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Create new or import into

existing RPD



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Select the newly created DSN for

Hive

Add the user and password



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Most of these won’t apply; keep

the defaults



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Select the database or

tables like normal


Update Database Type

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Double-click the database

Imported table structure



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Change database type to Apache

Hadoop



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You are prompted to edit the

connection pool

Select Yes



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Verify the call interface is ODBC 2.0

Typical Big Data Architecture Today


OLTP Data Is Loaded Into Data Warehouse

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Enterprise Data

Old

Sou

rces


Experimenting With New Data Sources In Hadoop

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Big DataEnterprise

Data

Old

Sou

rces

New

Sources


Different Visualization Tools

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Big DataEnterprise

Data

Old

Sou

rces

New

Sources

Visualization Tools

Visualization Tools


Constant Data Movement Back And Forth

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Big DataEnterprise

Data

Old

Sou

rces

New

Sources

Visualization Tools

Visualization Tools

Why Integrate OBIEE With Big Data?


Common Visualization Tool = Less Data Movement

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Big DataEnterprise

Data

Old

Sou

rces

New

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

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Federate OBIEE Across RDBMS and Hadoop

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Hive Table

Oracle Table

Oracle Table

Oracle Table

Oracle Table


Full Business Model & Presentation Layer

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Easy Report Creation

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Pros

• Easier data visualization capabilities

• Drag-and-drop ease of access

• No new skills to learn

• Centralized data access

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Cons

• Queries against Hive are slower than against Oracle

• Some data/metadata modeling and manipulation is required

• Might be throw-away work

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The Future?

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OBIEE

Storage

Filesystem(HDFS)

NoSQL(HBase)

Workload Management

MapReduce

Batch SQL(Hive)

Metadata

Interactive SQL(Impala)

Questions?

Technology

How To Leverage OBIEE Within A Big Data Architecture