Relational Data

Relational Data Consulting Home Highly Scalable and Available Relational Database Infrastructure Relational databases are known for data consistency, reliability and high data security for more than four decades. With the evolution of the digital world, the database landscape is changing dramatically with a requirement of always ON availability across multiple geographic locations. There are numerous...
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NoSQL Data

NoSQL Data Consulting Home Why NoSQL Database? The current IT landscape is driven by cloud platforms combined with DevOps and SRE support model. The adoption of NoSQL databases is rapidly increasing because of the flexible schema with always availability and scalability. NoSQL databases meet broadly the four types of used cases such as Key-Value, document...
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Cache Data

Cache Data Consulting Home Fast, Reliable and Scalable Cache Data Platform In today’s operating world always-on, high volume, high speed, high expectation requires a different level of processing “Data” Cache comes into a playground as a buffering technique that stores frequently queried data in a temporary memory. While this sounds simple, it can become very...
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Stream Data

Stream Data Consulting Home Robust and Real-time Steaming of Data​ There’s a growing demand for the businesses, no matter how big they are and what vertical they are in, to accelerate the digital transformation initiatives. In the always-on marketplace, it is imperative to make instant business decisions based on social media enabled demand. This is...
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Log Data

Log Data Consulting Home Stay ahead of your competitors in the digital economy by leveraging the logging framework Utilizing log management is a proactive measure that any business should take complete advantage of. By using the full array of log management tools, you will stay ahead of potential problems, have a clearer understanding of the...
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Big Data

Big Data Consulting Home Data is everywhere, and we generate mind-boggling data every day. Traditional database systems and ETL processes are not suitable to handle a variety and volume of data comes from hundreds of different sources like Web, mobile and IOT devices in real time. The big data ecosystem continues to evolve to address...
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