big data education webcast: introducing dmx and dmx-h release 8

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Greg Grubbs, Product Manager | Big Data Jorge A. Lopez, Director Marketing | Big Data DMX-h Release 8

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Page 1: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Greg Grubbs, Product Manager | Big Data

Jorge A. Lopez, Director Marketing | Big Data

DMX-h Release 8

Page 2: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute2

Introducing Syncsort DMX-h Release 8

Intelligent Execution Layer isolates users from underlying complexities of Hadoop

Design once. Deploy anywhere - with or without Hadoop; on-premises or in the Cloud

Provides the most complete, end-to-end solution for offloading heavy legacy workloads to Hadoop

Delivers best-in-class, one-step data ingestion capabilities for Hadoop: mainframes, RDBMS, MPP, JSON, Avro/Parquet, NoSQL, and more

Facilitates metadata management and data lineage by automatically updating HCatalog when loading to Hive, Avro and Parquet

Page 3: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute3

A Complete Solution to Harness the Power of Hadoop

Page 4: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute4

Collect

Build Your Enterprise Data Hub

Hadoop + DMX-h

Avro

Parquet

Cassandra

MongoDB

Mainframe

Vertica

Oracle

Teradata

Netezza

JSON HBaseFiles

Cloud

• Collect virtually any data from mainframe to Big Data and NoSQL sources • Access, re-format and load data directly into Avro & Parquet. No staging

required• Access & translate mainframe data using Sqoop and Spark• Load more data into Hadoop in less time. Let DMX-h dynamically split the data

and load it to HDFS in parallel

Page 5: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute5

Hive and HCatalog

Read & write to Hive

Support for multiple file formats including text, Avro, Parquet

Metadata using HCatalog (Hive Meta Store)

Dynamically parallelize load to Hive

0.00

2.00

4.00

6.00

8.00

10.00

12.00

1.01 2.03 4.50

Ho

ur

Hive Write Throughput (TB/hour)

DMX ODBC Parallel

Hive Command

Page 6: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute6

Prepare

Get Your Data Ready for Analytics

• Sort• Cleanse• Partition• Translate

• Reformat• Compress• Validate

• Prepare your data on-the-fly at lightning speeds before loading into Hadoop

• Increase data compression ratios by up to 10x • Achieve significant storage savings

Hadoop + DMX-h

Page 7: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute7

Blend

Find Bigger Insights by Combining New and Legacy Data

• Fastest, most efficient data joins• Best-in-class mainframe data access & translation• Common user experience with or without Hadoop!• No need to worry about mappers, reducers, big side, small side and so on• No code to generate, compile, maintain or tune!

Mainframe

JSON

RDBMS

Page 8: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute8

Transform

Design Once, Deploy Anywhere!

• Free your users from the underlying complexities of Hadoop• Visually design data transformations once, and run anywhere • No changes or tuning required• Intelligent Execution Layer dynamically optimizes the job for each platform:

Hadoop, Windows, Unix, Linux or Cloud• Future-proof your applications!

Inte

llige

nt

Exec

uti

on

Lay

er Windows, Linux, Unix

Hadoop

Cloud

Page 9: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute9

DEMO

DEMO

Page 10: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute10

Distribute

Achieve the Fastest Path from Raw Data to Insight

• Create Tableau & Qlikview files with one click• Achieve the fastest data loads without tuning hassles:

• Fastest parallel loads to Greenplum, Netezza, Teradata & Vertica• High-performance connectivity to Big Data & NoSQL databases such as

Cassandra, Hbase & MongoDB

Hadoop + DMX-h

NoSQL

Page 11: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute11

Not Using Hadoop?

Single Design Experience =

ETL Anywhere!

Best-in-class Data Visualizations,

Just a Click Away

Complete Access to All Your Data,

Big or Small

Web Based Monitoring &

Administration

Secure Mainframe Data Access

Intelligent Execution Layer

Windows, Linux, Unix, Cloud, and

more… when you’re ready

Page 12: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute12

DEMO

DEMO

Page 13: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute13

Plus… The Only Tool Specifically Designed for EDW Offload

Now with automatic DTL generation!

• Web-based utility

• Takes SQL as an input

• Provides visual analysis of SQL ELT jobs

• Generates metadata and data migration with DMX jobs

• Supports ANSI-SQL 2011, BTEQ, Netezza, Oracle PL/SQL

Page 14: Big Data Education Webcast: Introducing DMX and DMX-h Release 8

Syncsort Confidential and Proprietary - do not copy or distribute14

Save users from underlying Hadoop complexities Future-proof your applications. Design once, deploy anywhere! Offload heavy ELT workloads to Hadoop Secure, monitor, manage and scale with minimum effort

Sign up for a Free Trial!

Break Free from ETL Complexity

Experience DMX & DMX-h Release 8

Syncsort.com/dmxh8

Watch this webcast on demand – including the product demos!

http://bit.ly/1wI1SRN

Page 15: Big Data Education Webcast: Introducing DMX and DMX-h Release 8