TREETIP: tcVISION Allows for Surprisingly Innovative Uses

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Treehouse Professional Services consultants help Adabas / Natural customers in a variety of ways, including DBA services, performance tuning, change management implementation and training, and data replication planning and training. Our experience and long history of service to the Adabas / Natural community helps us create innovative solutions for our customers’ challenges.

Recently Treehouse Senior Technical Representative Chris Rudolph assisted a customer with a tricky data replication problem. The customer uses tcVISION to perform bi-directional replication between Adabas and an RDBMS during the phase-in of a new application. Unfortunately, the new application incorrectly updated certain columns in the RDBMS, which were then replicated to Adabas. The customer attempted to address the issue by running a series of ADASEL reports against the Adabas PLOG and manually checking for “bad” transactions, which was a very time consuming process that pulled the Adabas DBA away from her normal duties.

Chris explained that tcVISION could expedite the process by replicating all transactions for the Adabas file to a journal table capturing the “before” and “after” values of the problematic columns. The developers working on the new application could then identify invalid values, correct the application, and patch the data themselves. This also allowed the Adabas DBA to return to their normal duties.

The journal table now includes columns to display the “before” and “after” values of the corrupted column, Adabas transaction time, end transaction time, operation and Adabas userid. The customer’s developers immediately recognized immense value from being able to query the journal table to find bad data, patch the data, prove that corruption is no longer taking place, and verify that all corrupted instances of the data have been patched. Journal tables have been added for all replicated Adabas files, and the developers now rely on the journal tables for all of their data patches.


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.

Smart Solutions for “Data Source-to-Customer Experience” from Treehouse Software

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Treehouse Software provides world-class capabilities to acquire data from relevant structured sources–especially mainframe-based sources–across the enterprise, enabling solutions leveraging Cognistx technology to offer the most advanced interaction with your customers.

Retailers Adopting Cognitive Technology to Drive Business

Meet a new cognitive-powered app that’s changing the customer experience. Using the SmartCognitives Engine™, it harnesses the full power of customer data to create intelligent, individualized offers specifically designed for each customer. It’s how Cognistx is helping Mr. Tire reach their millions of customers as true individuals, drive incremental revenue, convert data into insights and lead the cognitive revolution in the automotive industry. Check out the video below to see it in action.

Turning data into insights, insights into customer actions, and those actions into revenue…

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Cognistx applies the latest in machine learning technology (AI) — including Big Data, advanced analytics, artificial intelligence and natural language processing — to solve your business challenge. From app-based retail solutions to help desk chat interfaces, clickstream interceptors to call center systems and more, this technology helps solve your most pressing issues.

Smarter with each interaction

The SmartCognitives Recommendation Engine is always learning and automatically delivering smarter, more relevant offers so your marketing is faster, more accurate and more efficient. It can be integrated into your mobile apps, web sites, databases, POS systems and more — for smarter solutions right away.

Transforming consumers into Individuals

Imagine being able to target consumers as unique individuals and serving up exactly what they want exactly when they need it most. No one wants to be treated like a consumer — but people do want to be treated like individuals. That’s why Cognistx is here– to celebrate the power of the individual and transform the customer experience.

Engaging with the SmartCognitives Engine

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The Cognistx engine is technology-agnostic, so it can be easily integrated into apps, chatbots, clickstream interceptors, call center systems, decision support systems, or other custom applications.

The Treehouse Software / Cognistx Connection

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The Cognistx platform complements Treehouse Software’s tcVISION, the comprehensive product that can acquire 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.


Let’s talk…

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If this exciting new technology is of interest to you, we would be happy to have a conversation about your company’s needs, so do not hesitate to contact us if you have questions.  Meanwhile, please visit the Treehouse Software Cognistx Web Page for more information.

 

Treehouse Software Technology Partner, Cognistx Brings Cognitive Computing to Screens Around the World

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Cognistx is transforming the customer buying experience using cognitive computing, which it claims has the potential to become the most disruptive technology of the next 20 years. Wake Forest Innovation Quarter’s The Hub features the latest from Cognistx. Read the article here.


About the Treehouse Software / Cognistx Partnership

Since the mid-1990s, Treehouse Software has provided world-class enterprise data acquisition capabilities, and we now offer the Cognistx cognitive computing capabilities for the most advanced interaction with your customers.

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The Cognistx platform complements Treehouse Software’s tcVISION, the comprehensive product that can acquire 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.

If this exciting new technology is of interest to you, we would be happy to have a conversation about your company’s needs, so do not hesitate to contact us if you have questions.  Meanwhile, please visit the Treehouse Software Cognistx Web Page for more information.

 

Two Local Technology Companies Partner to Advance Cognitive Computing; Complementary Areas of Expertise Mean Better Data Integration and Individualization

Treehouse Software, Inc., of Sewickley, PA and Cognistx of Pittsburgh, PA announced a partnership to help customers with improved data integration and individualization to fully leverage the power of cognitive computing.

Technology industry leaders from Accenture to Gartner to McKinsey recognize the future of computing will be cognitive, calling it a disruptive force and estimating the industry to reach $200 billion by 2020. Cognitive computing is based on leading edge technology including artificial intelligence, natural language processing, Big Data, advanced analytics and machine learning algorithms.

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The Treehouse – Cognistx partnership will allow customers to ingest massive amounts of data, whether that data is numbers, images, or audio files, and mine it to find insights that lead to action, and ultimately to increased revenue from improved customer engagement.

Since the mid-1990s, Treehouse Software has been a global leader in mainframe data migration, replication and integration, offering robust and flexible solutions for ETL, CDC and real-time, multidirectional replication between databases on various platforms.

Cognistx is an applied technology company harnessing state-of-the-art cognitive computing tools to help retailers reach individuals with intuitive, intelligent and individualized offers based on their past transactions, preferences, context and profile.

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Cognistx complements Treehouse’s capability to deliver data with its machine learning algorithms that become more accurate with every transaction, delivering customized, personalized, prescriptive actions in the right context. Together, the two companies will co-market their capabilities, bringing new competitive advantages to customers who want to expand the use of their most valuable asset — data.

“We’re excited to partner with Cognistx to bring our world-class enterprise data acquisition capabilities to companies that recognize the massive opportunity cognitive computing represents,” said Wayne Lashley, Treehouse Chief Business Development Officer. “We provide the data foundation and Cognistx translates that data into insights, those insights into customer actions, and those actions into incremental revenue.”

“Few retailers do a good job of marrying technology with a customized customer experience that is tailored to their behaviors and timed according to how they might use a retailer’s offer,” said Sanjay Chopra, CEO of Cognistx. “With our proprietary algorithms and Treehouse’s enterprise data solutions, both our customers win. Only with large amounts of data can our system learn about the consumer and their preferences and how those change in order to deliver only the smartest, most individualized offers.”

About Treehouse Software, Inc.

Privately-held Treehouse Software was founded in 1982, and is a global leader in providing data migration, replication, and integration solutions for the most complex and demanding heterogeneous environments. Treehouse offers a comprehensive and flexible portfolio of software and tools for mainframe platforms, and also includes feature-rich, accelerated-ROI offerings for information delivery, and application modernization. http://www.treehouse.com

About Cognistx

Privately-held Cognistx was founded in 2015 and has a technology hub in Pittsburgh and operations offices in the Innovation Quarter in Winston-Salem, NC, and Raleigh. The company’s co-founders include Sanjay Chopra, a serial technology entrepreneur; Eric Nyberg, professor at Carnegie Mellon University’s School of Computer Science, who consulted with IBM on the Watson project and Jeffrey Battin, former owner of Communefx, a successful data analytics company. Other partners include Florian Metze, professor at Carnegie Mellon University’s School of Computer Science; Jill Zoria, SVP Enterprise Development; Pete Minnelli, SVP Creative; and Karen Barnes, SVP Operations. http://www.cognistx.com

PRODUCT SPOTLIGHT: tcVISION v6 Overview and Updates

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Several exciting new features and updates are now in tcVISION v6, including new output targets Adabas LUW, DB2 BLU, EXASOL, Hadoop,and MongoDB. Additionally, new input sources include z/OS VSAM Logstream (CICS and Coupling Facility / Shared VSAM),z/OS VSAM Batch Extension, z/OS DBMS to Logstream, CA IDMS v17, CA Datacom CDC, IMS Active Log and SMF data.

Another feature recently announced is the tcVISION “Direct Loader” for BULK_LOAD processing. The function does not require output to a sequential file, and the loader utility for the target DBMS is called via API with data passed directly. Direct loader supports PostGreSQL, Microsoft SQL Server and DB2 LUW / DB2 BLU. The advantage of using the Direct Loader is the elimination of disk access in writing and reading the sequential loader data file. File output is still supported (e.g., where loader data is to be distributed to other machines).

Finally, as mentioned in a previous Treehouse Blog, with tcVISION v6 comes the newly enhanced web statistics functionality and web server. Any standard web browser can access this server (Internet Explorer, Firefox, Opera, Chrome, Safari, etc.)

This valuable feature enables users to view data from the tcVISION Manager Monitor, and statistical and operational information from the tcVISION Manager network.


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

Customer Success: tcVISION / Hadoop Integration

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BAWAG P.S.K. is one of the largest and most profitable banks of Austria with more than 1.6 million private and business customers and a well known brand in the country. The business strategy is oriented towards low risk and high efficiency. Business segments are Retail Banking and Small Business, Corporate Lending and Investments and Treasury Services and Markets. The center of the BAWAG P.S.K. business strategy is the offering of easy to understand, transparent and first-rate products and services which meet the requirements of the customers.

The BAWAG P.S.K. Bank für Arbeit und Wirtschaft and Österreichische Postsparkasse Aktiengesellschaft ” (P.S.K.), Vienna, operates their IT on the z/OS operating system. The corporate data is stored in DB2 databases. ORACLE is the database platform for the Open System environments. In relationship with another project P.S.K already had a client component of tcVISION installed. Magister Markus Lechner, Head IT Applications: “tcVISION was already in use and we had good experiences as far as functionally and support is concerned. Because we were in the planning process for the implementation of another project, we included tcVISION in the list of software solutions. The goal of this project has been the reduction of the load on the IBM mainframe and as a result the reduction of costs. The intention was to offload data from our core database system to a less expensive system in real-time and to provide read access from that system to the new infrastructure. The reasons for this were constantly increasing CPU costs on the mainframe because of the growing transaction load of the Online Banking, Mobile Banking, and Self Service devices. A large percentage of the load was caused by Read-Only-Transactions.” Markus Lechner: “After the tcVISION presentation, we arranged a Proof Of Concept. The important aspects of the POC were not only the functionality of tcVISION within the project but we also wanted to see whether our expectations would be met related to performance and CPU consumption on the mainframe. In addition to tcVISION, we also evaluated another product. All of our expectations have been met to our full satisfaction during the POC and we made the decision to go ahead with tcVISION.”

After a short implementation period, the project is now in production for one year. Markus Lechner describes the project: “The primary objective of the project with tcVISION was the reduction of CPU load on the mainframe to reduce our costs. Our intention was to offload data from our core database system to a less expensive system in real-time and to provide read access from that system to the new infrastructure.

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We use tcVISION for the realtime replication and we use Apache Hadoop as a cost efficient system for the storage of the data. In addition to the primary usage scenario we have the benefit to also cover additional use cases. This includes Real-time-EventHandling & 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 very low. The support provided  was excellent during the implementation phase and also during the production phase. Inquiries by telephone or E-mail cause prompt reactions. Problems that came up during this period were solved as soon as possible even when the tcVISION software had to be extended.” There are additional plans to extend the use of tcVISION in the future. One is to implement real-time replication from ORACLE into the data lake.

Magister Markus Lechner draws a conclusion: “tcVISION enables us to significantly reduce our mainframe cost through a real-time replication to a less expensive environment. tcVISION performs a very economical log file based replication. In addition we are now in a position to implement numerous application cases based upon the replicated data which would have been too expensive and resource intensive on the mainframe. Realtime-Event-handling, Realtime-Analytics, Realtime-Fraud Prevention are only a few of the use cases that we currently cover.”


tcVISION

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tcVISION enables bidirectional replication for DB2, Oracle, and SQL Server running on Linux/Unix/Windows, and synchronizes each data source, first by doing a bulk load from source(s) to target and then by replicating only changes— only committed changes—from source(s) to target. So there can never be ambiguity as to whether a query against the target database involves uncommitted data.

Read other tcVISON customer success stories here.


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

TREETIP: tcVISION Supports Hadoop

by Joseph Brady, Manager of Marketing and Technical Documentation at Treehouse Software, Inc.

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Hadoop and Big Data are revolutionizing data processing, and because of the increasing digitalization, the Internet, the rising importance of Social Media, and the presence of “Internet of Things”, the data diversity is growing in dimensions that did not exist before.

To process and maintain large and diverse data sets in a meaningful way, new technologies (such as Hadoop) have been developed. What is Hadoop? Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation.

Enterprises with heterogenous IT infrastructures, especially larger corporation of all industry sectors and public institutions, very often include mainframe technology. These enterprises are now facing the challenge to integrate existing mainframe data into a Hadoop platform – in real-time.

Data integration technology also has experienced great evolution over the past decades. Today, a standard ETL solution is not sufficient, and the understanding of data integration must now include the entire data exchange process in terms of replication and synchronization. Data exchange is now a time critical process. Near real-time is more and more the only accepted method to meet the high, up-to-date requirements in an increasing co-existence of mainframe and Hadoop technologies.

The tcVISION Solution

An important part of the added value of modern IT systems is the latency-free data- and process-integration of transactional and analytical areas. The cross-system integration platform from Treehouse Software, tcVISION, is unique, efficient, and reliable. With tcVISION, mainframe data can quickly and easily be integrated in near real-time into Hadoop-based operative applications or Business Intelligence and Analytics.

The tcVISION solution is proven and mature, and is constantly under development to meet the requirements of new technologies, including support for Hadoop in Version 6.

The main focus of the tcVISION integration platform is to allow real-time synchronization to integrate mainframe data into Hadoop based solutions.

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The tcVISION Technology Components

The tcVISION integration platform consists of a variety of state-of-the-art technology components, which cover much more than simply an ETL process.

  1. Data exchange in the sense of a real-time synchronization becomes a single step operation with tcVISION.
  2. No additional middleware is required.
  3. Modern Change Data Capture Technologies allow an efficient selection of the required data from the source system with focus on the changed data. The data exchange process is reduced to the necessary minimum which results in lower costs for the cross-system data integration.
  4. tcVISION also supports the fast and efficient load of large volumes of mainframe data into Hadoop. In this context the processor costs of the mainframe are low and negligible.
  5. An integrated Data Repository guarantees an overall cross-platform and transparent data management. Mainframe knowledge is not required.
  6. tcVISION include a rule-engine to transform data into a target compliant format or allows user-specific processing via supplied APIs.
  7. The integrated staging concept supports the offload of changed data in “Raw Format” to less expensive processor systems. This reduces mainframe processor resources to a minimum. The preparation of the data for the target system can be performed on a less expensive platform (Linux, UNIX or MS-Windows).
  8. The transfer to and feeding of data into Hadoop is part of the tcVISION data exchange process. No intermediate files are required.
  9. The exchange of large volumes of data between a production mainframe environment and Hadoop can run in parallel processes to reduce latencies to a minimum.
  10. The tcVISION integration platform contains comprehensive control mechanisms and monitoring functions for an automated data exchange.
  11. tcVISION has been designed in a way that Hadoop-based projects can be deployed with total project autonomy and maximum reduction of mainframe resources.

With tcVISION, data synchronization between mainframe and Hadoop pays off

  • Near real-time replication of mainframe data to Hadoop allows actual real-time analytics, or the relocation of mainframe applications (i.e., Internet applications like Online-Banking, e-Government, etc.) to Hadoop with synchronous data on both platforms.
  • Because of the concentration on changed data, the costs of the data exchange are greatly reduced.
  • The utilization of mainframe resources is reduced to a level that minimizes costs for mainframe know how and mainframe MIPS.
  • Data exchange processes can be deployed and maintained with tcVISION without mainframe knowledge, hence costs can be saved and Hadoop projects can be faster developed and put into production.
  • The near real-time replication of tcVISION from mainframe to Hadoop allows the relocation of BI reporting and analytic applications to the more cost efficient and – for these applications – more powerful Hadoop platform.

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