Cobol is hearing Streamhouse | Hackernoon

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Cobol (common business -oriented language) still plays an important role in the world code base especially in critical business and financial systems. Although the exact figures vary, the latest estimates show that the amount of Cobol code, which is still in use, is important:

1. There is 775-850 billion lines Cobol code worldwide.
2. Cobol systems approximately 3 trillion value Daily transactions.
3. 43% of banking systems Still use Cobol.
4. 95% of ATM shifts In the USA and face -to -face credit card transactions are processed using Cobol systems.
5. Approximately 70% to 80% The world’s commercial transactions are processed in Cobol.

Cobol these days for various reasons all over the news. Here are some new connections to enjoy what happened before you dive into the flesh.

Although Cobol is not common in new development, it continues to be a critical component of many old systems, especially in banking, finance, insurance and government industries. Despite his age, Cobol relevant Due to its reliability, efficiency and suitability for business -oriented tasks. To this end, Madness Introducing Cobol Streamhouse!

What is Cobol Streamhouse?

For decades, it has been the backbone of critical systems in industries such as Cobol, Finance, Insurance and Government. Despite Cobol’s reputation on reliability, resistance to modernization has made many organizations struggling with a paradox: how do you protect the value of the old code that has been tested in the war while unlocking the agility and scalability of today’s data -oriented world? The Cobol Streamhouse project is a bold initiative to integrate modern data with Cobol, and a bold initiative starting from the Lakehouse skills, which promises to breathe a new life to these Stalwart systems.

Cobol Streamhouse’s aim is simple but ambitious: real -time data processing and the benefits of advanced analytics to the collective processing history so far. We are not here to tear and change-the permanent existence of Cobol is proof of the value-expanding its abilities, enabling cloud to develop with domestic technologies. By welcoming Cobol through its own conditions, we prepare a bridge between yesterday’s code and the possibilities of tomorrow, and we strengthen the institutions to benefit from their existing investments.

Our journey begins with two main stages that solve the most urgent needs in modern data architecture: Flow and Data Management. The first stage offers a flow to Cobol through a clearly adapted Apache Kafka (Cobka) application for this old language. Kafka, which is famous for its ability to process high -productive, real -time data streams, is the cornerstone of modern data pile. Bringing to Cobol means enabling these systems to process operations, diaries and events as they occur – not just night parties. Imagine a banking system or an insurance platform that instantly adjusts a banking system or risk models that can analyze real -time payment flows. Our Cobka application is low-delay of the flow, the event-based power of the local power of the language-reliability, sensitivity and compatibility.

The second phase that complements this is introducing the Apache refrigerator, which is redesigned as Cobol to create a solid Data Lakehouse frame. Iceberg’s attractiveness lies in the ability to manage large data clusters with features such as scheme evolution, partitioning and acid processes-capacities that are light years before the flat file approaches common in the Cobol environments. By applying the refrigerator in Cobol, we equip these systems to scale the structured and semi -structured data to scale the processing integrity. This is not just about storing data; From SQL engines to machine learning frames, it can be queryable, managed and ready for modern analysis tools. Together with Kafka and the fridge in Cobol, he prepares the ground for a data ecosystem, both old friend and ready for the future.

These first stages are just the beginning. Starting the flow and data Lakehouse functionality, we immediately discuss the most gaps among Cobol and contemporary architectures. Kafka application provides a basis for flexible data management, Iceberg scalable, while unlocking real -time insights. Moreover, we do this without forcing developers to abandon Cobol’s syntax or paradigms to abandon them-our appropriations are designed to feel indigenous, not bolts. This approach invites the expertise of Cobol programmers who have spent many years to dominate the language, while invites new generations to see in a modern context.

Cobol Streamhouse is not about rewriting history; It’s about rewriting the future of Legacy systems. As we reveal these abilities, we prove that modernization does not mean migration. Cobol, which can be reached with Flow and Data Lakehouse Technologies, can safely step into the age of data -centered information process without losing the reliability that makes it indispensable in the first place.

Summary

If you want to learn more about Cobol in the context of a language you understand, I wrote This multi -part article In 1986, he aimed to teach Cobol programmers for HP Chronicle magazine because Cobol was more common than C.

Make sure you control Cobol Streamhouse Gitithub. All code imaging and can be used. Sample Source Code and Binary Files producer And one consumer included. We are excited about this development and the opportunities it offers.