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Treehouse Software enables Adabas data replication on Snowflake and AWS without disrupting critical work on the mainframe

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by Joseph Brady, Director of Business Development at Treehouse Software, Inc.and Dan Vimont, Director of Innovation at Treehouse Software, Inc.

The Adabas mainframe database has been around since the early 1970s, and is still heavily used by government, banking, insurance, and other large enterprises worldwide. Most of these organizations have accumulated large volumes of mission critical and historical data stored in their legacy mainframe Adabas databases over the years. Their Adabas systems can support a broad range of services and programs, most of which require accurate, up-to-date, and secure data.

Having specialized in tools and services complementary to Adabas/Natural applications since 1982, Treehouse has encountered and successfully addressed countless unique situations in customers’ Adabas environments. In the mid-1990s, Treehouse Software responded to growing customer needs for Adabas-to-RDBMS data replication CDC technology with our renowned tRelational/DPS product set. Treehouse has always been a proponent of maintaining the coexistence of legacy mainframe Adabas systems and newer technologies, so our software is perfectly designed for those scenarios. As a matter of fact, many large enterprises are still using Treehouse data replication technology right alongside their mainframe Adabas databases after decades in production.

Entering the brave new world of Cloud Computing, Analytics, AI, and ML…

In recent years, Treehouse has been receiving a growing number of inquiries from mainframe Adabas customers wanting to quickly tap into today’s advanced Cloud-based Analytics/AI/ML technologies, such as Snowflake,  Amazon Redshift, and Amazon Athena/S3. The customers’ data science teams are eagerly awaiting the arrival of critical data from their mainframe databases to supercharge their predictive analytics and generative AI frameworks afforded by an ever-expanding array of AI/ML Cloud-based tools. Additionally, many of these enterprises require a hybrid architecture that allows legacy mainframe environments to continue concurrently with data engineering work in the Cloud. 

Treehouse Software answers the call… again!

Treehouse brings to market Treehouse Dataflow Toolkit Direct (TDT-DIRECT for Adabas), a self-service, fully automated offering that delivers bulk-loading and CDC of mainframe z/OS and VSE Adabas data to Snowflake and other AWS targets. And of course, this is all accomplished without disrupting the existing critical work on the legacy system. Unlike traditional tools that require extensive setup and orchestration, TDT-DIRECT for Adabas intelligently determines what needs to be configured and takes care of it automatically. From schema detection to the creation of all required target resources, TDT-DIRECT for Adabas ensures that everything is in place before the first row of data arrives.

TDT-DIRECT for Adabas is a data replication solution that leverages Treehouse Software’s renowned and rock-solid Adabas data replication technology for:

  • rapid Adabas data loading and CDC to AWS and Snowflake

  • AI-ready data delivery to the latest analytics, AI, and ML tools

  • swift ROI

  • speedy evaluation of various targets on AWS

Adabas connectivity to Snowflake and AWS

For customers who want a simple and inexpensive way to quickly move their Adabas data to Snowflake and AWS, Treehouse’s trusted and proven Adabas data replication capabilities provide complete data elements for automated transfer to AWS targets.

TDT-DIRECT for Adabas is a serverless (Lambda-based) application that goes beyond basic data transfer. It’s an automated, end-to-end solution that prepares the full infrastructure needed for data loading. Its advanced crawler functions automatically prepare all target resources requires for data transfer as seen in the following example:

Without TDT-DIRECT’s fully automated approach, customers could spend months designing and creating target resources like delta tables, views, and schemas. 

Fast and easy implementation…

Customers are happy to discover that Treehouse provides highly-detailed CloudFormation Templates which automate and accelerate the process of installing and configuring the complete TDT-DIRECT application (including AWS Lambda functions and a number of other AWS resources) in your AWS account(s). The TDT-DIRECT CloudFormation Templates create stacks consisting of all principal framework components, along with related IAM policies and roles which are carefully engineered to comply with “best practices” (such as a “least privileges” approach to permissions).

The TDT-DIRECT CloudFormation Templates also optionally provide for automatic creation of a VPC, its subnets, and all required standard VPC-oriented resources, as well as optional creation of a source database cluster (consisting of either a sample database provided by Treehouse for a quick trial/POC, or your own sample database data).

Simply put, TDT-DIRECT is a Cloud-native, turnkey solution that can eliminate months or years of research and development time and costs, and allow customers to be up and running in minutes.

Visit Treehouse Software on the AWS Marketplace for all of our Cloud offerings…

Treehouse Dataflow Toolkit (TDT) and TDT-DIRECT are Copyright © Treehouse Software, Inc. All rights reserved.
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Contact Treehouse Software for a TDT-DIRECT for Adabas Demo Today!

Contact us today to schedule your session! 

Treehouse Software’s TDT-DIRECT for Adabas enables rapid data replication from mainframe z/OS and VSE Adabas to Snowflake and Analytics/AI/ML-friendly targets on AWS

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by Joseph Brady, Director of Business Development at Treehouse Software, Inc.and Dan Vimont, Director of Innovation at Treehouse Software, Inc.

 

Do you need a fast and easy way to replicate your mainframe z/OS and VSE Adabas data to Snowflake and Analytics/AI/ML-friendly targets on AWS? At Treehouse Software, we have always been proponents of maintaining the coexistence of legacy systems and newer technologies. This is why we support the idea of “Stay and go… at the same time!” and have developed time-tested solutions that allow bulk-loading and CDC of Adabas data into Snowflake and AWS, without disrupting the existing critical work on the legacy system. Our Treehouse Dataflow Toolkit Direct (TDT-DIRECT for Adabas) offers a straightforward and automated solution for rapid replication of Adabas data on Snowflake and AWS. Unlike traditional tools that require extensive setup and orchestration, TDT-DIRECT for Adabas intelligently determines what needs to be configured and takes care of it automatically. From schema detection to the creation of all required target resources, TDT-DIRECT for Adabas ensures that everything is in place before the first row of data arrives.

Treehouse Software has been in business since 1983, focusing on software that is complementary to  Software AG’s Adabas and Natural in the areas of data replication, security, control, auditing, performance enhancement, etc. Our Adabas data replication products have been used in many large enterprises worldwide for decades. With this deep experience, we are excited to offer TDT-DIRECT for Adabas, a data replication solution that leverages Treehouse Software’s renowned Adabas data replication technology for:

  • rapid Adabas data transfers (both bulk-loading and CDC) to AWS and Snowflake

  • access to the latest analytics, AI, and ML tools

  • swift ROI

Connectivity to Snowflake and AWS

For customers who want a simple and inexpensive way to quickly move their Adabas data to Snowflake and AWS, Treehouse’s trusted and proven Adabas data replication capabilities provide complete data elements for automated transfer to AWS targets.

The following example explains how TDT-DIRECT for Adabas accelerates a customer’s move to Snowflake on AWS. Snowflake’s unique architecture allows it to handle large-scale analytics workloads efficiently and reliably, while still offering a relational-style view of the data. The underlying framework enables businesses to run both bulk-load and CDC transactions with impressive scalability while maintaining the familiar relational format for users.

TDT-DIRECT for Adabas is a serverless (Lambda-based) application that goes beyond basic data transfer. It’s an automated, end-to-end solution that prepares the full infrastructure needed for Snowflake data loading. Its advanced crawler functions automatically prepare landing tables, views, and staging infrastructure for Snowflake. Additionally, TDT-DIRECT can generate optional archiving infrastructure and create Apache Iceberg tables for enhanced data management.

Without TDT-DIRECT’s fully automated approach, customers would spend months designing and creating target resources like delta tables, views, and schemas. Additionally, TDT-DIRECT for Adabas is delivered via CloudFormation templates, which can be deployed quickly and is preconfigured for immediate use — saving time, money, and configuration headaches.

Built for Scalability and Reliability

  • TDT-DIRECT for Adabas aligns with AWS’s and Snowflake’s best practices, ensuring security and performance. Its cloud-native, fault-tolerant design provides a future-proof solution that scales seamlessly with your growing data needs.

  • With TDT-DIRECT for Adabas, you can streamline data loading to Snowflake and AWS, enabling efficient, automated integration with minimal setup and maximum reliability.

  • TDT-DIRECT for Adabas is fully customizable to meet your organization’s specific needs (after all, TDT Lambdas are YOUR Lambdas).

Visit Treehouse Software on the AWS Marketplace for all of our Cloud offerings…

Treehouse Dataflow Toolkit (TDT) and TDT-DIRECT are Copyright © Treehouse Software, Inc. All rights reserved.
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Contact Treehouse Software for a TDT-DIRECT for Adabas Demo Today!

Contact us today to schedule your session! 

Treehouse Software Customer Successes: Real-time, Bi-directional Data Synchronization Between Mainframe, Cloud, LUW, and Open Systems

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Treehouse Software’s customer base includes many large companies, universities, and government organizations located in the United States and worldwide. Read about some of our Data Integration and Replication Customer Case Studies (PDF Documents) using tcVISION from the following links:

Many more mainframe data migration and replication customer case studies can be read on the Treehouse Software Website.

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Contact Treehouse Software for a Demo Today…

Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.

Treehouse Software’s tcVISION on the AWS Marketplace… AWS Architectural Considerations and Challenges

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Andy Jones, Senior Technical Representative for Treehouse Software recently gave a presentation at the Pittsburgh AWS User Group Meetup that explores our experiences in bringing the tcVISION Mainframe-to-AWS Data Replication Solution to the AWS Marketplace.  Andy discussed issues that had to be addressed, such as High Availability and AWS Availability Zones, Autoscaling, Security, creating the tcVISON AMIs, etc. Here is his presentation:

Additionally, Treehouse Software’s tcVISION is Featured on the AWS Partner Network Blog. Read the Blog Here.

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Treehouse Software is an AWS Technology Partner and a global leader in providing real-time and bi-directional data replication between a variety of mainframe and non-mainframe sources, including (Mainframe – z/OS and VSE): VSAM, IMS, Db2 z/OS, Adabas, CA Datacom, and CA IDMS; and (Non-mainframe): AWS, Microsoft Azure, PostgreSQL, Oracle, Microsoft SQL Server, IBM Db2 LUW and Db2 BLU, IBM Informix, Kafka, MongoDB, Hadoop, SAP Hana, and more.

Contact us today to discuss your project!

Mainframe-to-Cloud and Open Systems Data Replication: tcVISION in 90 Seconds

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Give us 90 seconds of your time, and we’ll quickly show you how tcVISION enables real-time and bi-directional Mainframe-to-Cloud and Open Systems data replication. Our video walk-through shows how tcVISION‘s GUI interface allows users to easily model and map data, and create links between data sources and target systems. tcVISION‘s intuitive interface supports simple to complex replication scenarios.

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, Cloud, 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 Amazon Aurora, 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.

Treehouse Proof of Concept: Bi-directional Replication Between Adabas and SQL Server

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Chris Rudolph and Kevin Heimbaugh, Senior Technical Representatives for Treehouse Software, visited a customer site (a large retail and distribution company) to perform a five-day proof of concept (POC) of tcVISION with bi-directional replication between Software AG’s Adabas and Microsoft SQL Server.

Chris and Kevin initially met with the customer team, consisting of the DBA, Applications Manager, and a technical applications person. The agenda for the week was set to:

  • Import metadata from several Adabas files
  • Bulk load the Adabas data into SQL Server
  • Set up replication from Adabas to SQL Server
  • Add the bi-directional replication back to Adabas

Additionally, there were a few other items the customer wanted the Treehouse team to address, including support for date formats; timestamps for bi-directional replication to avoid update conflicts; using Predict views to define multiple SQL Server tables; and support for MUs and PEs. Chris noted that everything on the customer’s list is easily supported, and there are several options for the update scenarios that can be used.

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After the tcVISION components were installed, the POC began by using tcVISION’s Control Board to define a metadata repository database in SQL Server. Once that was set, the teams moved on to import the first Adabas file’s metadata using tcVISON’s Metadata Import Wizard. As part of this process tcVISION generated Adabas to SQL Server schemas and field-to-column links as well as created target tables in SQL Server. Bulk Transfer scripts were created using a wizard to read the Adabas file on the mainframe, and load the data into SQL Server using the SQL Server bulk loader. Chris created a control script to show how tcVISION can concurrently bulk transfer multiple Adabas files into SQL Server This required increasing the tcVISION Manager’s VSE partition size to successfully test multiple load scripts executing in parallel.

The teams moved on to define the real-time change data capture (CDC) scripts necessary to process the Adabas PLOG. The tcVISION scripts use a two-phase approach to queue captured Adabas transaction on the open platform, then transform and apply the transactions to SQL Server. The scripts were set up to automatically generate detailed logs to track the PLOG transactions captured, SQL statements successfully applied to SQL Server, failed SQL statements, and informational items such as auto-corrected data and transactions rejected due to processing rules.

Now that several tables were defined and loaded, the bi-directional process was set up. SQL Server CDC was enabled for each table to be replicated. The team made a change within SQL Server and verified that the change show up in the SQL Server CDC tables. The SQL Server-to-Adabas mappings were defined in the tcVISION metadata repository, including the “back update check” to ensure only non-tcVISION transactions are captured, and the scripts on both Windows and mainframe were defined to create the LUWs from the SQL Server CDC and apply the changes to Adabas.

CDC from SQL Server to Adabas was successfully tested. Chris then showed the ability to create Journal replication where each change can be captured by replication type. The team spent time creating a few more mappings so multiple file / table updates could be tested, in addition to doing updates while the scripts were stopped to simulate a lost connection. This included setting up a new script to process copied PLOG datasets created by the ADARES utility.

The team defined the remainder of their Adabas files to the metadata repository. Some were set them up for bi-directional replication, and others were setup for unidirectional replication and Journal replication. Everything work as expected at the wrap-up meeting where the team provided a live demonstration to management of tcVISION and the items accomplished. The final tcVISION presentation and demo went very well, and everyone was pleased with the progress made during the week.

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.

Treehouse Software will be exhibiting and presenting at the 2014 WAVV Conference

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Treehouse Software representatives are preparing for the upcoming WAVV Conference, which will be held April 13 – 16 at The Embassy Suites in Covington, KY.  If you are attending the conference, stop by the Treehouse Software booth and say hello!

We will be exhibiting our data integration and replication products:

  • tcVISION for enabling ETL and bi-directional data replication between mainframe, Linux, Unix and Windows platforms.
  • tcACCESS for integrating mainframe data and applications with open systems and Windows.

Additionally, Chris Rudolph, Senior Technical Representative for Treehouse Software will be presenting, “Replicate Data in Real-time — Anytime, Anywhere (Live tcVISION Demonstration)” on Tuesday, April 15 at 11:00 AM as part of WAVV’s vendor presentation series.

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WAVV is a user group promoting the interests of the users of the VSE, VM, and Linux operating systems. WAVV holds the annual conference, which consists of over 100 educational sessions as well as an exhibitor show where vendors of VSE, VM, and Linux related products show their wares and meet with customers.

More information on WAVV can be found on their website.