As hackers discover new ways to intrude into systems and get their hands on vital customer information, companies are looking to neutralize the emerging threat. One way to curb these apparent dangers is to analyze security logs that are generated during everyday operations.Continue reading
Real-time data analytics is a prevalent term in the industry, but most people don’t understand its true meaning. If you think real-time is always instantaneous i.e. an input through a user instantly leads to the generation of an insight, then you can’t be more wrong. Different applications have different timeframes, in which, an insight can be useful. Therefore, help in bulk data processing needs to be sought according to the exact requirements of a business.Continue reading
As the dependency on data increases, companies are looking for new avenues to process and analyze data for business purposes. The vast troves of data stored in a myriad of databases offer a wealth of opportunities, but only for those that are ready with tools for processing large amounts of data. Superfast and real-time processing of millions and millions of transactions is the key to unlocking business opportunities presented to an organization. However, one thing that needs to be kept in mind before employing a superfast platform is to analyze its ability to handle load, especially during peaks and surges of data influx.Continue reading
Database processing is a key area of interest for companies looking to maximize data value in today’s context. Everything revolves around data nowadays and it can provide significant advantage when you are competing in choked markets. To maximize the potential of data for your business, real-time data stream processing is needed. And, for effective next-gen real-time insight derivation from large databases, you need an in memory database processing program.
MemSQL is an in-memory SQL DBMS (Database Management System) that help in bulk data processing and allows companies to generate relevant insights for the welfare of their business. It can be exceptionally useful in financial and telecom business domains where there is a lot of data generated in real-time.Continue reading
As dependence on data grows, business world is waking up to a new reality. Entrepreneurs have realized the potential of data and have started capturing all the data streaming in and out of their systems. But as vast troves of data accumulate, the importance of big data processing technologies is rising.Continue reading
As companies look to leverage AI technologies for deriving insights that are useful for their business, we are seeing a rise in the requirement of solutions for processing millions of transactions per second. Especially when it comes to real-time data processing and analytics, the demand is even higher.Continue reading
Data value is dependent on many factors such as data relevance, data volume and the amount of time spent in deriving value from data. However, due to a rise in competition and a shorter window of opportunities, businesses are looking for data that can be put to good use in real-time. Nowadays, the window of opportunities to exploit insights has become very short. This has happened because competitors are often using similar databases and coming to the same conclusion after analyzing it. Hence, to really make the most out of a database, it is imperative that you utilize it before anyone else does, which can be done with real-time data stream processing. Also, there are many fields, in which, real-time data stream processing is extremely useful e.g. IoT. Therefore, real-time data stream processing has become more of a necessity rather than a luxury.Continue reading