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Ignite Your Big Data
With a Spark!
© 2014 Progress Software Corporation. All rights reserved.2
What’s the Big Idea With Spark?
Apache Spark is known for large-
scale data processing on a
platform that:
Is up to 100x faster than Hadoop
MapReduce in memory and 10x faster
on disk
Runs standalone or in the cloud and can
access diverse data sources like
Cassandra or any Hadoop deployment
Provides a uniform API for diverse
workflows over diverse systems
© 2014 Progress Software Corporation. All rights reserved.3
What ‘s So Cool About Spark SQL?
Spark SQL is a standard set of
libraries for Big Data developers
that offers:
An integration of SQL queries with
Spark programs
Unified load and query data from a
variety of sources
Hive compatibility for hive queries to be
run on existing warehouses
Standardized ODBC and JDBC
connectivity
What could make this even better?
© 2014 Progress Software Corporation. All rights reserved.4
Supercharge Big Data Analytics with DataDirect
Progress® DataDirect ® Spark SQL ODBC and JDBC drivers
deliver the fastest, high-performance connectivity so your
existing BI and analytics applications can access Big Data in
Apache Spark.
Business Intelligence
[Tableau, QlikView, Microstrategy, etc.]
© 2014 Progress Software Corporation. All rights reserved.5
What Makes Our Drivers So Different?
DataDirect drivers offer:
Real-time query and analysis
with superior throughput
Highly secure access with
user authentication
Fast performance with
multiple driver tuning options
Ensured reliability with full
standards compliance
© 2014 Progress Software Corporation. All rights reserved.6
What This Means for Your Business
With standardized ODBC and
JDBC DataDirect drivers you
can:
Unlock real-time predictive analytics
Quickly turn Big Data into actionable
insights
Mitigate risks by providing a
standard interface to all Big Data
sources
Reduce operational costs and offer
a better user experience
Get faster insights from your data today!
Learn More
www.progress.com/sparksql

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Ignite Your Big Data With a Spark!

  • 1. Ignite Your Big Data With a Spark!
  • 2. © 2014 Progress Software Corporation. All rights reserved.2 What’s the Big Idea With Spark? Apache Spark is known for large- scale data processing on a platform that: Is up to 100x faster than Hadoop MapReduce in memory and 10x faster on disk Runs standalone or in the cloud and can access diverse data sources like Cassandra or any Hadoop deployment Provides a uniform API for diverse workflows over diverse systems
  • 3. © 2014 Progress Software Corporation. All rights reserved.3 What ‘s So Cool About Spark SQL? Spark SQL is a standard set of libraries for Big Data developers that offers: An integration of SQL queries with Spark programs Unified load and query data from a variety of sources Hive compatibility for hive queries to be run on existing warehouses Standardized ODBC and JDBC connectivity What could make this even better?
  • 4. © 2014 Progress Software Corporation. All rights reserved.4 Supercharge Big Data Analytics with DataDirect Progress® DataDirect ® Spark SQL ODBC and JDBC drivers deliver the fastest, high-performance connectivity so your existing BI and analytics applications can access Big Data in Apache Spark. Business Intelligence [Tableau, QlikView, Microstrategy, etc.]
  • 5. © 2014 Progress Software Corporation. All rights reserved.5 What Makes Our Drivers So Different? DataDirect drivers offer: Real-time query and analysis with superior throughput Highly secure access with user authentication Fast performance with multiple driver tuning options Ensured reliability with full standards compliance
  • 6. © 2014 Progress Software Corporation. All rights reserved.6 What This Means for Your Business With standardized ODBC and JDBC DataDirect drivers you can: Unlock real-time predictive analytics Quickly turn Big Data into actionable insights Mitigate risks by providing a standard interface to all Big Data sources Reduce operational costs and offer a better user experience
  • 7. Get faster insights from your data today! Learn More www.progress.com/sparksql