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Leveraging mainframe data
for modern analytics
Confluent and Attunity provide seamless mainframe integration
and query offload for modern, distributed analytics environments
via Apache Kafka
Large enterprises, government agencies, and many other organizations have
long relied on mainframe computers to deliver core systems managing some of
their most valuable and sensitive data. Mainframes remain important to business
today and are likely to continue to be critical infrastructure for many organizations
for the foreseeable future. As important as these systems are, however, they
can be difficult to integrate into today’s data-driven, analytics-focused business
processes as well as the environments that support them.
Most businesses looking to integrate mainframes into a broader analytical
environment take a brute force approach, querying directly into the mainframe
system to access the data they need. This approach can be costly in environments
where billing is based on how many MIPS (millions of instructions per second)
the system uses, because each new query eats up more instructions, adding to
that month’s bill. Additionally, a significant amount of tuning and optimization is
typically required to get a data warehouse sitting on a mainframe to support the
kind of broad, deep, and fast analysis that businesses need today.
One solution for a business facing these challenges is to offload the data
from the mainframe to another environment such as Apache®
Hadoop™
or an
MPP database. Mainframe offload is an effective approach for some business
environments, but it involves an expensive and time-consuming process to
implement. And more often than not, the result of all that effort is just a new
data silo. Businesses need to produce results from multiple data types and
sources in real time. Doing so requires a new kind of solution—one that keeps
mainframe data current and available to the broader ecosystem without all the
environmental complexity and without breaking the bank.
KNOWLEDGE BRIEF / UNLOCK MAINFRAME DATA
Attunity unlocks mainframe data
Attunity Replicate is a software solution that provides an
efficient and cost-effective way to bring mainframe data
into a modern analytics environment with its change
data capture (CDC) technology for DB2, VSAM, and IMS.
Attunity Replicate provides low-latency and low-impact
data integration for mainframe databases. With Attunity
Replicate, you can extract and source mainframe data
efficiently in real-time, and deliver those changes to
a data warehouse or another enterprise analytics
environment. The software replicates data continuously
with low latency, providing a real-time alternative to a
“lift and shift” approach to moving data
Attunity Replicate enables change record filtering and
supports a wide variety of data sources and platforms.
It supports transactional delivery for replicating into
relational databases, batch-optimized delivery for data
warehouses, message-oriented delivery for application
and streaming based integration platforms, and change
audit trails to facilitate other forms of integration. The
software can be easily installed and configured using
an intuitive, wizard-based GUI – so no extra coding
is required.
Because it replicates data continuously, Attunity
Replicate eliminates the need to move data in periodic
batches, keeping that data in sync and providing real-
time access to the data in other platforms. Attunity
Replicate provides log-based CDC for DB2 (leveraging
the DB2 journals) as well as for VSAM and IMS, rather
than performing repeated brute-force queries into the
data. This provides a unique, non-invasive approach
to capturing changes which does not incur the hefty
price tag in MIPS described above. Attunity Replicate
enables event-driven, stream-based processing via
Apache Kafka.
Kafka brings mainframe data to life
Clients can leverage Kafka’s modern distributed
architecture to move mainframe data in real time.
Unlike using a Hadoop or database offload, which will
first store and index data so that it can be accessed by
querying, Kafka captures data for processing in flight.
Although it may look like a messaging system — with
producers publishing messages that are available
to consumers in milliseconds — Kafka works more
like a distributed database for your mainframe and
other data.
When you write a message to Kafka, it is replicated to
multiple servers and committed to disk. Kafka provides a
core commit log for the entire distributed environment,
persisting the data so that any number of systems can
consume it at any time. Kafka’s consumers perform
the database read function while its producers — in
this case, your mainframe environment — perform the
database write function. Once the data is published,
there is no need to incur the cost in time and MIPS
associated with going back to the mainframe.
Kafka’s unique architecture enables its fast performance.
A single Kafka broker can handle hundreds of
megabytes of reads and writes per second from
thousands of clients. Each broker can persist terabytes
of messages without impacting performance.
Mainframe
DataLake
EDWCDC
Bulk Load
Attunity Replicate
Database Changes
IoT Data
Log Events
Web Events
Confluent Enterprise
2
KNOWLEDGE BRIEF / UNLOCK MAINFRAME DATA
1036.1.161109
Confluent makes Kafka enterprise-ready
The Confuent Platform extends Apache Kafka to deliver the full promise of a modern streaming platform. Confuent
makes deploying and managing a Kafka environment easy, reliable, secure, and auditable – bringing your mainframe
data into a modern analytics environment while providing key services to make the open-source Kafka software truly
enterprise-ready:
•	Confuent Control Center - provides a comprehensive
monitoring and management system for Kafka. It
enables users to track both the flow of data through
the cluster as well as important details regarding
resource consumption.
•	Auto Data Balancing - optimize resource utilization
and reliability. The rack-aware rebalance algorithm
optimizes for disk space utilization. Partition
movements are executed with minimal impact to
your traffic.
•	Multi-Datacenter Replication - use to replicate Kafka
for a failover data center (active/passive), synchronize
two active data centers (active/active), or replicate to a
global data center.
•	Schema Registry - the Confuent Schema Registry
provides a central repository for the data syntax of
each Kafka topic. Applications can easily leverage the
service to maintain consistent formats within their
data pipelines.
•	REST Proxy - the Confuent REST proxy provides access
to Kafka from any network connected devices that can
connect with HTTP.
•	Connectors - the Confuent Platform includes several
pre-built connectors based on the Kafka Connect
framework, enabling users to deploy data pipelines
between basic JDBC and HDFS data systems with a few
simple configuration options.
•	Clients - supplementing the pure Java clients available
in Kafka, Confuent provides native clients for other
popular languages: C/C++, Python, and Go. These
clients support the full range of Kafka producer/
consumer API’s.
Confluent also provides 24/7 enterprise support for critical bug fixes, indemnification, training, and operational advice
to customers.
It’s a new day for the mainframe
With Attunity Replicate, you can unlock your mainframe data without incurring the complexity and expense that
come with sending ongoing queries into the mainframe database. With Apache Kafka, you can deliver that data in
real-time to the most demanding analytics environments. And with Confluent, you can ensure that your analytics
environment includes the broadest possible range of data sources and destinations, while ensuring true enterprise-
grade functionality. The combined solution puts mainframe data right at the heart of your modern, distributed
analytics environment.
Americas
866-288-8648
sales@attunity.com
Europe / Middle East / Africa
44 (0) 1932-895024
info-uk@attunity.com
Asia Pacific
(852) 2756-9233
info-hk@attunity.com
attunity.com
@attunity
© 2016 Attunity LTD. All rights reserved.
KNOWLEDGE BRIEF / UNLOCK MAINFRAME DATA

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Leveraging mainframe data for modern analytics with Kafka

  • 1. Leveraging mainframe data for modern analytics Confluent and Attunity provide seamless mainframe integration and query offload for modern, distributed analytics environments via Apache Kafka Large enterprises, government agencies, and many other organizations have long relied on mainframe computers to deliver core systems managing some of their most valuable and sensitive data. Mainframes remain important to business today and are likely to continue to be critical infrastructure for many organizations for the foreseeable future. As important as these systems are, however, they can be difficult to integrate into today’s data-driven, analytics-focused business processes as well as the environments that support them. Most businesses looking to integrate mainframes into a broader analytical environment take a brute force approach, querying directly into the mainframe system to access the data they need. This approach can be costly in environments where billing is based on how many MIPS (millions of instructions per second) the system uses, because each new query eats up more instructions, adding to that month’s bill. Additionally, a significant amount of tuning and optimization is typically required to get a data warehouse sitting on a mainframe to support the kind of broad, deep, and fast analysis that businesses need today. One solution for a business facing these challenges is to offload the data from the mainframe to another environment such as Apache® Hadoop™ or an MPP database. Mainframe offload is an effective approach for some business environments, but it involves an expensive and time-consuming process to implement. And more often than not, the result of all that effort is just a new data silo. Businesses need to produce results from multiple data types and sources in real time. Doing so requires a new kind of solution—one that keeps mainframe data current and available to the broader ecosystem without all the environmental complexity and without breaking the bank. KNOWLEDGE BRIEF / UNLOCK MAINFRAME DATA
  • 2. Attunity unlocks mainframe data Attunity Replicate is a software solution that provides an efficient and cost-effective way to bring mainframe data into a modern analytics environment with its change data capture (CDC) technology for DB2, VSAM, and IMS. Attunity Replicate provides low-latency and low-impact data integration for mainframe databases. With Attunity Replicate, you can extract and source mainframe data efficiently in real-time, and deliver those changes to a data warehouse or another enterprise analytics environment. The software replicates data continuously with low latency, providing a real-time alternative to a “lift and shift” approach to moving data Attunity Replicate enables change record filtering and supports a wide variety of data sources and platforms. It supports transactional delivery for replicating into relational databases, batch-optimized delivery for data warehouses, message-oriented delivery for application and streaming based integration platforms, and change audit trails to facilitate other forms of integration. The software can be easily installed and configured using an intuitive, wizard-based GUI – so no extra coding is required. Because it replicates data continuously, Attunity Replicate eliminates the need to move data in periodic batches, keeping that data in sync and providing real- time access to the data in other platforms. Attunity Replicate provides log-based CDC for DB2 (leveraging the DB2 journals) as well as for VSAM and IMS, rather than performing repeated brute-force queries into the data. This provides a unique, non-invasive approach to capturing changes which does not incur the hefty price tag in MIPS described above. Attunity Replicate enables event-driven, stream-based processing via Apache Kafka. Kafka brings mainframe data to life Clients can leverage Kafka’s modern distributed architecture to move mainframe data in real time. Unlike using a Hadoop or database offload, which will first store and index data so that it can be accessed by querying, Kafka captures data for processing in flight. Although it may look like a messaging system — with producers publishing messages that are available to consumers in milliseconds — Kafka works more like a distributed database for your mainframe and other data. When you write a message to Kafka, it is replicated to multiple servers and committed to disk. Kafka provides a core commit log for the entire distributed environment, persisting the data so that any number of systems can consume it at any time. Kafka’s consumers perform the database read function while its producers — in this case, your mainframe environment — perform the database write function. Once the data is published, there is no need to incur the cost in time and MIPS associated with going back to the mainframe. Kafka’s unique architecture enables its fast performance. A single Kafka broker can handle hundreds of megabytes of reads and writes per second from thousands of clients. Each broker can persist terabytes of messages without impacting performance. Mainframe DataLake EDWCDC Bulk Load Attunity Replicate Database Changes IoT Data Log Events Web Events Confluent Enterprise 2 KNOWLEDGE BRIEF / UNLOCK MAINFRAME DATA
  • 3. 1036.1.161109 Confluent makes Kafka enterprise-ready The Confuent Platform extends Apache Kafka to deliver the full promise of a modern streaming platform. Confuent makes deploying and managing a Kafka environment easy, reliable, secure, and auditable – bringing your mainframe data into a modern analytics environment while providing key services to make the open-source Kafka software truly enterprise-ready: • Confuent Control Center - provides a comprehensive monitoring and management system for Kafka. It enables users to track both the flow of data through the cluster as well as important details regarding resource consumption. • Auto Data Balancing - optimize resource utilization and reliability. The rack-aware rebalance algorithm optimizes for disk space utilization. Partition movements are executed with minimal impact to your traffic. • Multi-Datacenter Replication - use to replicate Kafka for a failover data center (active/passive), synchronize two active data centers (active/active), or replicate to a global data center. • Schema Registry - the Confuent Schema Registry provides a central repository for the data syntax of each Kafka topic. Applications can easily leverage the service to maintain consistent formats within their data pipelines. • REST Proxy - the Confuent REST proxy provides access to Kafka from any network connected devices that can connect with HTTP. • Connectors - the Confuent Platform includes several pre-built connectors based on the Kafka Connect framework, enabling users to deploy data pipelines between basic JDBC and HDFS data systems with a few simple configuration options. • Clients - supplementing the pure Java clients available in Kafka, Confuent provides native clients for other popular languages: C/C++, Python, and Go. These clients support the full range of Kafka producer/ consumer API’s. Confluent also provides 24/7 enterprise support for critical bug fixes, indemnification, training, and operational advice to customers. It’s a new day for the mainframe With Attunity Replicate, you can unlock your mainframe data without incurring the complexity and expense that come with sending ongoing queries into the mainframe database. With Apache Kafka, you can deliver that data in real-time to the most demanding analytics environments. And with Confluent, you can ensure that your analytics environment includes the broadest possible range of data sources and destinations, while ensuring true enterprise- grade functionality. The combined solution puts mainframe data right at the heart of your modern, distributed analytics environment. Americas 866-288-8648 sales@attunity.com Europe / Middle East / Africa 44 (0) 1932-895024 info-uk@attunity.com Asia Pacific (852) 2756-9233 info-hk@attunity.com attunity.com @attunity © 2016 Attunity LTD. All rights reserved. KNOWLEDGE BRIEF / UNLOCK MAINFRAME DATA