Treehouse Software Sponsors June Pittsburgh Amazon Web Services (AWS) User Group Meetup

By Joseph Brady, Marketing Manager and AWS Alliance Lead for Treehouse Software

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Treehouse Software sponsored the June AWS User Group Meetup at AlphaLab in Pittsburgh. AlphaLab is a nationally ranked software accelerator in Pittsburgh. They help early-stage tech companies quickly figure out the best way to build and grow in a program with funding, early-stage technology companies with an extensive mentor network, educational sessions with industry leaders, and a rich entrepreneurial work environment within a nationally ranked accelerator program.

Food, drinks, and technical presentation were courtesy of Treehouse Software. The AlphaLab space was very nice and spacious, with a full kitchen and a large bar for everybody to hang out and talk while enjoying a great spread of food and drinks. This was an ideal setting for ice-breaking and socializing with attendees.

As is usual for the AWS User Group, the attendees ranged from students to consultants and DBAs, all wanting to learn about what can be done on the AWS Cloud.

After some food, drinks, and a bit of socializing, Jim Jen, Executive Director of AlphaLab started things off with a short AlphaLab welcome and introduction.

Next, Andy Jones, Senior Technical Representative for Treehouse Software presented “tcVISION Technical Overview and AWS Cloud Environment Replication Demonstration”. Andy told a little about Treehouse, our AWS partnership, and an overview of tcVISION with a mention of the tcVISION Amazon Machine Image (AMI) development work that is going on right now with support from a top AWS Solutions Architect. At the end of Andy’s presentation, interest was sufficient for him to give a tcVISION live demo, where he showed everybody tcVISION replicating data from the Treehouse mainframe to AWS Aurora in the Cloud.

Typical Treehouse Mainframe-to-AWS data replication scenario in a demo:

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We ended the evening with a little more eating, drinking, and socializing, and a mention that Treehouse Software will be exhibiting the tcVISION/AWS Solution at AWS re:Invent in November.

Thanks to everyone who attended, helped, and participated!


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

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tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM Db2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data to/from a variety of non-mainframe sources, including AWS, PostgreSQL, Adabas LUW, Oracle Database, Microsoft SQL Server, IBM Db2 LUW and Db2 BLU, and IBM Informix.


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Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

 

 

Want to See a Live, Online Demonstration of Mainframe-to-Amazon Web Services (AWS) Data Replication using Treehouse Software’s tcVISION?

tcVISION is a powerful and comprehensive solution for real-time, bi-directional replication of mainframe data to AWS. tcVISION’s GUI modeling and mapping, and ease of migrating data to AWS makes it an ideal choice for modernizing large mainframe environments. Additionally, tcVISION can synchronize mission critical data from a mainframe system on AWS. Real-time, bi-directional data synchronization enables changes on either system to be reflected on the other system (e.g., a change to a PostgreSQL table on AWS is reflected on the mainframe database). This allows businesses to modernize an application on AWS without disrupting the existing critical work on the legacy system.

Contact Treehouse Software today for a live, online session that demonstrates real-time replication of mainframe data to Amazon RDS instances!

Example of a Treehouse Software Mainframe-to-AWS Data Replication Demo Environment…

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tcVISION Technology

tcVISION‘s support for AWS as a target is fully integrated alongside traditional Linux/Unix/Windows (LUW) targets such as PostgreSQL, Oracle Database, IBM DB2 LUW, Software AG Adabas LUW, IBM Informix, Sybase, Microsoft SQL Server, and ODBC.

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tcVISION considerably simplifies mainframe data exchange processes. The structure of the existing mainframe data is analyzed by tcVISION processors, then automatically mapped to a target data mapping. The data mapping information is presented in a user-friendly and transparent format – even for users with no mainframe knowledge.

The mapping information is saved in a meta data repository hosted on a relational database, and can easily be made available to other applications. The Windows-based Control Board of tcVISION provides an easy-to-use facility to administer the data flow. tcVISION provides a variety of interfaces to allow seamless integration with ETL or EAI solutions.


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Since 1982, Treehouse Software, Inc. has been serving enterprises worldwide with industry-leading software products and outstanding technical support.  Today, Treehouse Software is a global leader in providing data migration, replication, and integration solutions for the most complex and demanding heterogeneous environments, as well as feature-rich, accelerated-ROI offerings for information delivery, business intelligence and analytics, and application modernization.

 

 

Treehouse Software Collaborates with Amazon Web Services (AWS) to Offer Comprehensive Enterprise Mainframe-to-AWS Data Replication

Press Contact: Joe Brady (+1.724.759.7070 x110; jbrady@treehouse.com)

Pittsburgh, PA; Treehouse Software, Inc., of Sewickley, PA is pleased to announce an agreement with Amazon Web Services (AWS) to offer enterprise customers a complete Mainframe-to-AWS data replication solution to provide them with fast and easy access to the cloud.

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Treehouse Software’s tcVISION is a powerful and mature software product designed for real-time, bi-directional replication of mainframe data to AWS. tcVISION’s GUI modeling and mapping, and ease of migrating data to AWS makes it an ideal choice for modernizing large mainframe environments.

Additionally, tcVISION can synchronize mission critical data from a mainframe system on AWS.  Real-time, bi-directional data synchronization enables changes on either system to be reflected on the other system (e.g., a change to a PostgreSQL table on AWS is reflected on the mainframe database). This allows businesses to modernize an application on AWS without disrupting the existing critical work on the legacy system.

“Through this exciting new collaboration, Treehouse Software and AWS are working together to offer customers with mainframe systems a straightforward solution for enhancing their business agility,” said George Szakach, President of Treehouse Software. “We provide our proven mainframe data delivery capabilities, and the customer benefits from modernization of their data within the flexible, scalable, pay-as-you-go offering on AWS.”

Video – How does tcVISION replicate mainframe data to AWS?


About Treehouse Software, Inc.

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Since 1982, Treehouse Software, Inc. has been serving enterprises worldwide with industry-leading software products and outstanding technical support.  Today, Treehouse Software is a global leader in providing data migration, replication, and integration solutions for the most complex and demanding heterogeneous environments, as well as feature-rich, accelerated-ROI offerings for information delivery, business intelligence and analytics, and application modernization.

Treehouse Software Customers are Looking Upwards to Mainframe-to-Cloud Data Replication

The search is on for a mature, easy-to-implement Extract Transform and Load (ETL) solution for migrating mission critical data to the cloud.

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Treehouse Software’s tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects, and enabling data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and cloud-based.

Mainframe-to-Cloud Case Use Example…

BAWAG P.S.K. is one of the largest banks in Austria, with more than 1.6 million private and business customers and is a well-known brand in the country. Their business strategy is oriented towards low risk and high efficiency.

BAWAG was looking to reduce the load on their IBM mainframe and as a result, reduce costs. The project involved offloading data from their core database system to a less expensive system, in real-time, and to provide read access from that system to the new infrastructure. The primary motivator for this data migration was the constantly increasing CPU costs on the mainframe caused by the growing transaction load of online banking, mobile banking, and the use of self service devices.

BAWAG ultimately migrated their online banking application to the cloud using tcVISION. Realtime Event-handling, Realtime Analytics, Realtime Fraud Prevention are only a few of the use cases that the bank’s solution currently covers.

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The bank decided to use tcVISION to migrate z/OS DB2 data into a Hadoop data lake (a storage repository that holds raw data in its native format). 20 Million transactions were made within 15 minutes.

Cost Reductions Seen Immediately

BAWAG is now seeing a 35-40 percent reduction of the MIPS consumption for online processing during business hours. After hours, consumption is less, because it is mainly batch processing on the mainframe. Currently, a volume of approximately 30 GB changed data (uncompressed) is replicated from DB2 per day.

In addition to the primary usage scenario, BAWAG can also cover additional use cases. This includes real-time-event handling and stream processing, analytics based upon real-time data as well as the possibility to report and analyze structured and unstructured data with excellent performance. The system can be inexpensively operated on Commodity Hardware and has no scalability limitations. Compared to the savings, the costs of replication (CPU consumption) of tcVISION are now very low.

Additionally, BAWAG plans to extend the use of tcVISION in the future, including implementation of real-time replication from ORACLE into the data lake.


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

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tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix and PostgreSQL.


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Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

TREETIP: Integrate Mainframe Data Sources In Your Big Data Initiatives

tcVISION supports a vast array of integration scenarios throughout the enterprise, providing easy and fast data migration for mainframe application modernization projects and enabling bi-directional data replication between mainframe, Linux, Unix and Windows platforms. This innovative technology offers comprehensive abilities to identify and capture changes occurring in mainframe and relational databases, then publish the required information to an impressive variety of targets, both on-premise and Cloud-based.

Analysts have observed that perhaps 80 percent of the world’s corporate data still resides on mainframes. So it’s no surprise that Bloor Research (http://www.bloorresearch.com/research/spotlight/big-data-and-the-mainframe/), notes that “it is necessary today to place the mainframe as a ‘first-class player’ in any enterprise Big Data strategy.”

In February 2017 we highlighted tcVISION’s support for replication to the leading NoSQL database MongoDB. MongoDB continues to increase in popularity as a back end for operational applications with real-time requirements.

tcVISION also supports analytics and “mainframe offload” Big Data use cases that generally leverage Hadoop HDFS and/or streaming data transport. With tcVISION, data from a wide variety of IBM mainframe data source can be quickly and easily replicated to Big Data targets, requiring minimal mainframe know-how and having minimal impact on the mainframe.

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Boost the return on investment for your Big Data initiatives using tcVISION!


Find out more about tcVISION — Enterprise ETL and Real-Time Data Replication Through Change Data Capture

tcVISION provides easy and fast data migration for mainframe application modernization projects and enables bi-directional data replication between mainframe, Linux, Unix and Windows platforms.

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tcVISION acquires data in bulk or via change data capture methods, including in real time, from virtually any IBM mainframe data source (Software AG Adabas, IBM DB2, IBM VSAM, IBM IMS/DB, CA IDMS, CA Datacom, even sequential files), and transform and deliver to virtually any target. In addition, the same product can extract and replicate data from a variety of non-mainframe sources, including Adabas LUW, Oracle Database, Microsoft SQL Server, IBM DB2 LUW and DB2 BLU, IBM Informix, and PostgreSQL.


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Visit the Treehouse Software website for more information on tcVISION, or contact us to discuss your needs.

Cloud-y … with a 100 Percent Chance of Data

cloud computing and downloading

by Wayne Lashley, Chief Business Development Officer for Treehouse Software

Along with three of my colleagues, I recently participated in the Treehouse exhibit at the Gartner Application Architecture, Development and Integration (AADI) event in Las Vegas. This is a conference where we have exhibited in the past, and I personally have attended several other times. In fact, I just learned that the DI in AADI no longer stands for “Data Integration”; this change was only made in the past couple of years, as in the past it was the data integration aspect that made the show particularly relevant to Treehouse.

Though data integration vendors such as Informatica, Pervasive and Adeptia—and Treehouse—were in attendance, their numbers seemed diminished over prior years. And while “Legacy Modernization” had an entire subject “track” a couple of years ago, a number of “name” LM vendors were notably absent this year, and the topic was only rarely represented in sessions.

But there was a predominant theme at the event, and its name is Cloud.

People have been talking about “Cloud” for years already, and it is a well-established concept with many dimensions and extensive implementations. And it’s probably familiar enough to The Branches readers that I won’t waste words describing it, other than to say that it is simply a way to offer computing services via the Internet without the subscriber—most Cloud offerings are subscription-based—knowing or caring what or where the physical implementation is.

Many people consider that Salesforce.com is the granddaddy of all Cloud services, and to my mind it popularized the term “Software as a Service” (SaaS). Evolutionary Technologies, Inc. (ETI), a long-standing player in the data integration field and a company that I have had a lot of contact with over the years, reinvented itself around 2005 as a SaaS company, in doing so placing the company on the leading edge of “aaS” providers and essentially defining an entirely new market space.

These days there are a number of other “aaS” genres competing for mindshare and dollars, the most dominant being “Platform as a Service” (PaaS). Once again, Salesforce.com seemed to define the space initially, but others such as Amazon and Google have since come to dominate it. Just this week I was invited to an event for Oracle partners where Oracle executives will present their concept for an Oracle Cloud PaaS. I recall a Microsoft Worldwide Partners Conference (WWPC) a couple of years ago where Microsoft kicked off its Azure Cloud platform. You don’t have to install Microsoft Office on your PC anymore; Office 365 runs in the Cloud.

Even legacy applications are getting the Cloud treatment: a company called Heirloom Computing has commenced offering a platform for running legacy COBOL applications in the Cloud.

Cloud has also entered popular culture and commodity services. There’s a TV commercial that I keep seeing advertising a Cloud-based service that automatically troubleshoots, tunes up and cleans up your PC.
In short, you’re nobody if you’re not in the Cloud.

D-for-“Data” may have morphed into D-for-“Development” in the AADI Summit name, but data replication, integration and migration remain very relevant in the Cloud age. Indeed, you can’t spell Cloud without a D.

To support provisioning of Cloud-based applications, there has to be a means for getting data from where it is now—often in mainframe-based legacy databases or relational databases on open systems, within a company’s internal IT infrastructure—to the Cloud facilities, be they public or private. This doesn’t happen by magic. We have recently been working in a customer implementation where Oracle and DB2 data are being replicated bidirectionally in a Cloud implementation using our tcVISION solution. Such a scenario posed a bit of a challenge for us in terms of licensing: the machines on which tcVISION is installed are not specifically known at a given point in time. So we had to adapt our licensing model to accommodate the new reality.

We expect to see continued growth and demand for our replication and integration solutions as Cloud offerings evolve and expand. Furthermore, we are working on a new Cloud-oriented solution in collaboration with Cloud platform providers. I have briefed several Gartner analysts on it, and their feedback has been encouraging. Check back to this space regularly for news on this exciting new Treehouse offering.