March 9, 2017

Modernizing Mainframes:

Mainframe applications are at the core of the organizational functions and the nervous system of most organizations.They form critical part of the technology infrastructure of businesses. They have been serving the businesses for ages and are best known for their reliability, availability, security and performance.

Mainframe systems are still being used across industries; especially in the banking and financial industry, which require large amounts of transaction data to be processed through RDBMS querying. However these beasts need to be re-engineered in order to leapfrog into the modern digital software world; hence the need for a viable mainframe modernization strategy

Need for Modernizing Mainframes

Organizations that pivoted their businesses around the mainframe and other legacy systems need to hurdle through the challenges of the digital age in order to be able to broaden their business landscape and carry the culture of exceeding customer demands.The ever-changing business needs of the “informed-customers” propel organizations to migrate their applications (that were built few decades back) to re-invent and align them towards an enriching experience and digital transformation.The modern customer has his path on the digital age and expects an efficient, faster response and quicker time to market. However, the legacy layers are interwoven which adds to the overall challenge in meeting the demands. With clear charter, the equation can be changed to transcend the digital horizon.

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March 7, 2017

Fast Data Processing

There is an exponential increase in data sourced and generated from sensors, actuators and other IOT (Internet of Things) enabled devices. Big data is volumes of data generated at incredibly high rates which are not stored or analyzed. Big data is not just getting bigger but getting faster too. The mobile market development during the years and online gaming, where gaming is no longer restricted to static gaming, are classic examples. Analyzing high intake data and applying big data analytics at the time of ingestion is Fast data. Fast data is the application of intelligence to data for faster and smarter responsive solutions.

Analyzing high intake data and applying big data analytics at the time of ingestion is Fast data.

According to IDC, the digital universe is doubling every two years and is expected to reach 44 zettabytes or 44 trillion gigabytes by 2020. Moreover, IDC predicts enterprise storage compound annual growth rates of more than 50 percent through 2016. However, Big data is volumes of data generated at incredibly high rates which are not stored or analyzed. Analyzing high intake data and applying big data analytics at the time of ingestion is Fast data. Fast data is the application of intelligence to data for faster and smarter responsive solutions.

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March 6, 2017

Need for legacy modernization

As Cloud and Big Data continue to gain foothold in many industries, application modernization is clearly the need of the hour. So, what is legacy modernization? It is essentially reusing, migrating and modernizing existing or conventional business applications to newer technology stacks, in order to align them in line with the current business objective and derive new business value from existing applications.

It is essentially reusing, migrating and modernizing conventional business applications to newer technology   stacks, in order to align them in line with the current business objective

The cost of maintenance of legacy systems, lack of adequate skill sets and other business risks are slowly but steadily pushing organizations towards modernizing their applications.

Modernization may include the any or all of the services namely Application migration, Application Re-engineering, Database Migration and Prototype Development Services

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