Anant Corporation Blog: Our research, knowledge, thoughts, and recommendations about building and managing online business platforms.
This is the second part of our “Diving deep into Gartner’s Top 10 Data and Analytics Technology Trends for 2019” blog series. In this series, we’ll explore the top 10 Data & Analytics 2019 trends identified by Gartner. If you haven’t yet seen the first post on Augmented Analytics check it out here.Continue reading
Asynchronous Data is data that is not combined or aligned when it is sent or received. In this type of transmission, signals are sent between the computers and external systems or vice versa in an asynchronous manner. But why does this matter and how can people benefit from it?Continue reading
In today’s society, it is considered the common practice to distribute your business technology operations in an effort to maximize your potential return, whether that be tangible or intangible assets. This process is not merely separating a company into parts but also paving the path for exponential growth.Continue reading
Data mining is the practice of gathering and examining large databases to produce new information and predict future outcomes. Modern businesses rely on massive amounts of data, so much so that an IDG survey of 70 IT and business leaders recently found that 92% of respondents want to deploy advanced analytics more broadly across their organizations. This post will discuss some of the benefits of data mining that these leaders saw within their organizations.
Spark,Mesos, Akka, Cassandra, Kafka, Kubernetes? If you don’t already know what these mean and you have no goal or objective to make software that works at a global level, then you don’t need to be reading this article at all. Seriously, it’ll be a waste of your time. These technologies, now open sourced, originated from the extremely high-end university research laboratories of the University of Berkeley and the halls of high-tech companies such as Google, Twitter, LinkedIn, and Facebook. They were built for different purposes for their creators but now being available to the public, they have been flourishing on their own in the wild ether of the Internet. Why would any CIO, CTO, CMO, or a CEO consider these technologies?