Modern-day businesses operate at breakneck speeds and generate massive amount of data. Every piece of information embedded in data is priceless and it is important to act upon it fast to maximize its value. In order to extract the information, Big Data analytics are required. As Big Data tech has grown leaps and bounds in the recent years, it can prove invaluable for a business operation. But, it comes with its own challenges: processing of data being the first and foremost. Nowadays, two processing methodologies are utilized by companies – batch processing and stream processing big data. Continue reading
Monthly Archives: January 2020
Maximize Insights In Real-Time With Stream Processing Applications
The world of today is extremely fast paced. And, when it comes to businesses, the pace can be unsettling for companies, especially the ones that rely on old processing methodologies. Nowadays, the reliance on Big Data is at an all-time high. To exploit Big Data benefits, the standard processing applications simply do not work. There is a need to leverage stream processing applications to counter the threat of competition.Continue reading
Improve OLTP and OLAP Performance with In Memory Scalable Transactions
Online processing has become a vital part of business operations. Whether it is processing of transactions (OLTP) or recurring analytics (OLAP), cutting-edge processing solutions have become the need of the hour. In memory scalable transactions processing allows companies in telecom and financial industry to execute vast troves of ingested data in a jiffy.Continue reading