Offload queries from the mainframe and enable analytics on your big data
Many of the world’s largest companies continue to run mission critical applications on mainframe systems. But analyzing this data by directly querying the mainframe can be complex and costly, with billing based on MIPS (millions of instructions per second.) To meet evolving business needs, enterprises are searching for new ways to integrate mainframe data into big data analytics platforms that include data warehouses and Hadoop.
With SRMTEK Replicate, enterprises gain benefits such as:
A Mainframe Assessment is a method of understanding existing application components of a mainframe environment before deciding whether to perform a modernization project. A Mainframe Assessment includes full definition of the goals and areas of concentration prior to data collection. SRMTEK uses automation technology to perform a very detailed, targeted assessment of the entire mainframe application environment. This assessment provides the ability to fully define a modernization project plan including assignments, responsibilities, timeframes, and costs. This service:
Mainframe components are classified and listed in detail and notes are attached to components requiring special attention during the conversion process. All application components are inventoried, classified by language, and cross-referenced. Missing components are collected and added to the inventory, while duplicate components residing in multiple customer repositories are eliminated from the inventory. The Assessment results in a complete understanding of the current processing environment.
SRMTEK designed and developed its automation technology to allow preliminary conversion of the database design and application software during the Assessment. This preliminary conversion further defines areas of concentration and is used in preparation of the project plan for the full conversion. It also proves the conversion concept and identifies any special requirements for a successful conversion. No converted code is delivered as part of the Assessment. All of the collected source code is parsed down to the line and field level and stored as metadata in the database. Portions of this source code metadata can be packaged and made available to the customer teams for additional analysis if desired.