Tag Archives: bulk load

AWS / Treehouse Software Webinar: Moving Mainframe Data to Snowflake for Enterprise Wide Analytics

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In this episode of the AWS Mainframe Modernization Broadcasting Channel webinar series, you will discover how enterprises are breaking down data silos by migrating mainframe data to Snowflake on AWS. In a real-world case study, see how Treehouse Software handles the complexities of VSAM, Db2, and Adabas data structures to deliver clean, queryable data, ready for modern analytics. Find out how the Treehouse Dataflow Toolkit (TDT) works with virtually any mainframe data replication tool to provide a fully automated approach for rapid and comprehensive data transfer from Kafka streaming pipelines to Snowflake and other Analytics/AI/ML-friendly targets on AWS–AI-ready, with all target resources automatically created.

View the webinar recording here…

Contact Treehouse Software today to request a product demonstration or discuss your data modernization needs…

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Join Treehouse Software for a new episode of the AWS Mainframe Modernization Broadcasting Channel!

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Discover how enterprises are breaking down data silos by migrating mainframe data to Snowflake, enabling unified analytics across legacy and modern systems. In a real-world case study, see how Treehouse Software handles the complexities of VSAM, Db2, and Adabas data structures to deliver clean, queryable data ready for modern analytics.

Meet your presenters…

Sunil Divvela is a Worldwide Specialist Solutions Architect for Mainframe Modernization at AWS. He partners with customers and partners to accelerate their mainframe modernization journeys, leading initiatives from portfolio assessment through post-migration support leveraging Generative AI and Agentic AI. Prior to AWS, Sunil served as a Senior Technology Architect at Infosys, where he led multiple mainframe transformation programs.

Ellie Savova is a Cloud Solutions Architect at Treehouse Software, where she develops and architects AWS-cloud-native SaaS applications focused on enterprise data migrations. She works closely with customers to design secure, scalable cloud-native solutions across hybrid environments, integrating legacy data systems with modern analytics platforms. Ellie also leads customer implementations and innovation initiatives focused on cloud architecture, security, automation, and next-generation data-platform capabilities.

Register now using the QR code above, or HERE!

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Transforming the automotive industry with AI-ready mainframe data delivery to Snowflake and AWS

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by Joseph Brady, Director of Business Development at Treehouse Software

Treehouse Software data delivery for Auto industry

Treehouse Software’s Treehouse Dataflow Toolkit (TDT) is currently in production at a large auto manufacturer as their key component for replicating dealership and vehicle order management data from multiple disparate mainframe databases to Snowflake on AWS.

The TDT solution, along with Treehouse’s decades of mainframe expertise, and our Cloud Engineers’ deep skills with multiple top-level AWS certifications accelerated the customer’s critical data move to Snowflake. Thanks to the Treehouse data delivery architecture, the customer’s data scientists and analysts can now access analytics-ready data through Snowflake. This enables sub-second query performance for rapid, intensive analytical tasks, and data sharing in real time, eliminating the need to move or copy data, thus enabling immediate insights across divisions and subsidiaries. The analytics teams can also make plans to easily add the latest AWS-based Analytics/AI/ML-friendly offerings, such as  Amazon Redshift, Amazon Athena/S3, Amazon SageMaker AI, Amazon Bedrock, as well as any yet-to-be-developed Cloud services!

Since TDT is much more than a mere “connector,” the customer was able to eliminate months of development time and costs by using the tool to quickly and automatically prepared the full infrastructure needed for Snowflake data loading. As shown in the following architectural diagram, TDT is taking the customer’s mainframe data that was pumped into Amazon MSK (Managed Streaming for Kafka) by Rocket Data Replicate and Sync (RDRS) and lands it into Snowflake. TDT not only delivers the customer’s data, but its advanced crawler functions automatically prepare landing tables, views, and staging infrastructure for Snowflake. Additionally, when needed, TDT now stands ready to generate an archiving infrastructure and create Apache Iceberg tables for enhanced data management.

The Treehouse solution is enabling the customer to quickly move away from slow, on-premises, batch-oriented processes to their new scalable, highly available, and secure Cloud-native system. They are also better positioned to innovate for future data needs and strategies on a flexible and easily customizable architecture.

Customer Benefits

  • The customer’s data scientists and analysts can now access analytics-ready data faster and ever before through Snowflake
  • The new architecture easily allows testing and adding other Cloud-based Analytics/AI/ML-friendly targets and services.
  • From a data scientist’s perspective, effective dataflow tooling with TDT has delivered tangible benefits:
    • Fewer reconciliation issues with other divisions
    • Greater confidence in analytical results
    • Faster turnaround on urgent questions from leadership and multiple divisions
  • TDT’s auto scaling and parallelizing Lambda framework allows many parallel selects to all run at once, thus loading large tables with minimal latency.
  • Since TDT is built in alignment with AWS’s and Snowflake’s best practices, proper security and performance is ensured.
  • TDT is delivered via CloudFormation Templates, which automated and accelerated the process of installing and configuring the complete TDT application (including AWS Lambda functions and numerous other AWS resources, all wrapped in a well-architected security framework) in their AWS account. This allowed the customer to be up and running with a fully preconfigured implementation of the new data transfer pipeline in minutes.
  • The customer now has lasting compatibility with emerging Cloud technologies. As AWS and Snowflake introduce new features, TDT readily integrates them, staying ahead of the curve, keeping data pipelines modern and efficient.

In short: better data → better analytical judgment. 

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 us today to discuss your project! 

Treehouse Software accelerates insurance companies’ data delivery to the latest Analytics/BI/AI/ML-friendly platforms

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by Joseph Brady, Director of Business Development at Treehouse Software and Eleonora Savova, Cloud Solutions Architect at Treehouse Software

Every major insurance policy begins with the same foundation: understanding historical claims data to determine how often claims occur, what they cost, and which factors drive risk.

Data analytics has always been the insurance industry’s lifeblood, with actuarial efforts relying on sophisticated analysis of historical data – an approach that, in many ways, resembles how modern machine learning (ML) techniques are used to quantify and manage risk and uncertainty.

All insurance companies hold decades of valuable data across legacy mainframe and non-mainframe systems. Actuaries, data scientists, and other analysts need data delivered into modern analytics environments in a reliable way. Treehouse Software addresses this challenge in the most straightforward and efficient manner by connecting legacy data to today’s top analytics platforms. Our Treehouse Dataflow Toolkit (TDT) enables rapid bulk load and change data capture (CDC) from multiple data sources into Snowflake and AWS. As part of this process, TDT automatically provides the required target infrastructure, making the data immediately available for Analytics, BI, and AI/ML operations.

TDT serves as a key component within AWS-based actuarial analytics architectures, enabling insurance organizations to move away from slow, on-premises, batch-oriented processes and toward scalable, cloud-native systems. These architectures leverage high-performance computing, data lakes, and serverless technologies to automate data ingestion, modeling, and reporting, reducing processing times from days to minutes.

With TDT handling data delivery, actuaries and data scientists can access analytics-ready data through platforms such as Snowflake, Amazon Redshift, etc. TDT operates in the background, ensuring that the most recent data is consistently available without manual intervention.

TDT Value and Benefits

Beyond delivering your data, TDT is MUCH more than a mere “connector”. It is a fully configurable end-to-end solution designated to manage the complete data delivery lifecycle. TDT’s advanced crawler capabilities automatically prepare landing tables, views, and staging infrastructure required by the target.

TDT is built in alignment with AWS’s and Snowflake’s best practices, ensuring proper security and performance. This consistent adherence to best practices is a key differentiator that sets TDT apart from many other “connectors” on the market.

From an actuary’s perspective, effective dataflow tooling with TDT delivers tangible benefits:

  • Fewer reconciliation issues with Finance
  • Greater confidence in analytical results
  • Faster turnaround on urgent questions from leadership

In short: better data → better actuarial judgment. 

Treehouse provides highly-detailed CloudFormation Templates which automate and accelerate the process of installing and configuring the complete TDT application (including AWS Lambda functions and a number of other AWS resources) in your AWS account(s). The TDT 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 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 database and data).

Simply put, TDT is a Cloud-native, turnkey solution that can eliminate months (or even years) of research and development time and costs and allow customers to be up and feeding data to an actuarial analytics architecture 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 us today to schedule a demo! 

Escape the complexity: Treehouse Software’s fully automated, Lambda-based solution accelerates highly scalable data delivery to AWS

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by Joseph Brady, Director of Business Development at Treehouse Software, Inc.

Since 1982, Treehouse Software has been serving enterprises worldwide with industry-leading mainframe software products and outstanding technical support. Today, Treehouse Software brings you Treehouse Dataflow Toolkit (TDT), a serverless (Lambda-based) application that goes beyond basic data transfer. It is a fully automated solution that prepares the full infrastructure needed to automatically prepare the staging infrastructure for the massive data loading to targets, such as Amazon Redshift, Snowflake, Amazon Athena/S3, Amazon S3 Express One Zone Buckets, and Amazon Aurora PostgreSQL. TDT supports data replication between mainframe and non-mainframe sources—without disrupting existing critical work on customers’ legacy systems.

The Treehouse solutions utilizes Rocket Data Replicate and Sync (RDRS) to pull data from the mainframe, where an agent (with a very small footprint) extracts data (either bulk-load or CDC processing). The raw data is then securely passed from the mainframe by RDRS, which transforms and publishes the data to a Kafka topic (in our example above, a topic in an Amazon MSK cluster). The TDT microservices consume the data from MSK/Kafka and land it in S3 buckets, where TDT’s proprietary crawler technology is used to automatically prepare landing tables, views, and additional infrastructure for various analytics friendly targets. Then the mainframe data is loaded into Redshift, Snowflake, S3, or PostgreSQL (all the while adhering to AWS’s and Snowflake’s recommended “best practices” for massive data loading, thus assuring shortest and surest loads). The inherent reliability and scalability of the entire pipeline infrastructure assures near-real-time synchronization between mainframe sources and the target tables, even with very large bulk-loads or transaction-heavy CDC processing.

What about non-mainframe data?

For customers who have non-mainframe data sources, Treehouse offers TDT-DIRECT which pulls data directly from PostgreSQL, SQL Server, Oracle, MySql, and Db2 for bulk-load and CDC into a variety of targets on AWS.

Instantaneous auto scaling…

For massive amounts of data, TDT takes advantage of the auto scaling and parallelizing of the Lambda framework. This allows many parallel selects to all run at once, thus loading large tables with minimal latency. Additionally, all TDT Lambda microservices are fully customizable (they will be YOUR Lambdas) to add extra monitoring capabilities, and any other functionalities for future needs.

TDT’s innovative Lambda-based microservices approach enables faster data flow than any conceivable ODBC-based solution, which is the standard tool used for most “roll your own” approaches, or “we have a connector for that” offerings. TDT offers several key differentiators from standard “connectors” on the market, including:

  • Automatic creation of target resources – TDT automatically prepares landing tables, views, and additional staging infrastructure for the target. Without TDT’s fully automated approach, a customer can spend months designing and creating target resources, such as delta tables, views, schemas, etc.
  • Ease of delivery/implementation – TDT is delivered via CloudFormation templates, which automate and accelerate the process of installing and configuring the complete TDT application (including AWS Lambda functions and numerous other AWS resources, all wrapped in a well-architected security framework) in your AWS account. This allows your site to be up and running with a fully preconfigured implementation of your new data transfer pipeline in minutes.
  • Adherence to best practices – TDTis built in alignment with AWS and Snowflake best practices, ensuring proper security and performance. The fault-tolerant design of the Cloud-native application provides for a robust, future-proof architecture.
  • Adaptability to evolving Cloud ecosystems – In today’s fast-evolving cloud world, TDT’s flexible design ensures lasting compatibility with emerging technologies. As AWS and Snowflake introduce new features, the application readily integrates them, staying ahead of the curve, keeping your data pipelines modern and efficient.

TDT and TDT-DIRECT are designed to deliver: 

  • rapid mainframe and non-mainframe data bulk-loading and CDC to Snowflake and AWS targets
  • access to the latest Analytics, AI, and ML tools and services
  • swift ROI

Contact us today to discuss your needs, or to book a free demo.

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 us today to schedule a demo! 

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! 

Ramp up your AI/ML game with AWS DMS and the TDT-DIRECT Plugin for Snowflake

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by Joseph Brady, Director of Business Development at Treehouse Software, Inc.

Many enterprise customers are using AWS Database Management Service (DMS) to simplify and accelerate migrations across different RDBMSs, such as PostgreSQL, SQL Server, Oracle, etc. and into AWS services like Amazon Redshift, and Amazon Athena/S3.

DMS delivers features for monitoring migration tasks, reviewing AWS CloudWatch metrics, inspecting logs, and validating data, making it a robust and cost effective solution.

Additionally, to ensure the tightest security, DMS implements a comprehensive security framework that safeguards data throughout the migration process using IAM policies, SSL/TLS encryption, and AWS Secrets Manager credential management. Network controls and monitoring tools provide access restriction and real-time visibility. 

High-level look at AWS DMS:

Treehouse Software introduces fully automated connectivity between DMS and Snowflake…

Today’s enthusiasm about AI and ML has become one of the prime motivators for customers wanting to move data to the Cloud, and Snowflake has become the platform of choice for many enterprises looking to mobilize data at near-unlimited scale and performance, while tapping into the most advanced AI/ML tools and services.

For DMS customers looking for the fastest and most straightforward way to connect to Snowflake, Treehouse Software brings you TDT-DIRECT, the ultimate DMS plugin for Snowflake. TDT-DIRECT leverages DMS to provide a turnkey approach that enables rapid bulk load and CDC data transfer directly from RDBMSs to Snowflake–AI-ready, with all target resources automatically created.

TDT-DIRECT is MUCH more than a mere “connector”—it is a serverless (Lambda-based), self-service, end-to-end solution that rapidly prepares the full infrastructure needed for loading data from DMS-supported RDBMSs into Snowflake. TDT-DIRECT’s advanced crawler functions automatically prepare all landing tables, views, and staging infrastructure for Snowflake as seen in this example: 

TDT-DIRECT is built in alignment with AWS’s and Snowflake’s best practices, ensuring proper security and performance. The fault-tolerant design of the AWS-native application provides for a robust, future-proof architecture. This adherence to best practices is a key differentiator of TDT-DIRECT from other “connector” offerings on the market.

Bonus points for fast and easy implementation…

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 even 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!