Anant Corporation Blog: Our research, knowledge, thoughts, and recommendations about building and managing online business platforms.
Making informed business decisions is only possible when using the power of big data. Regardless of if this data is gathered through a mobile app or some web-based program, you will have to find a way to properly organize it.
Experts estimate that spending on big data technology solutions will reach $57 billion by the end of this year. This shows that more and more businesses are starting to understand just how powerful data can be.
In order for apps and web-based programs to function properly, you will have to monitor them. If your programs are constantly crashing, they will be unable to provide you with helpful data. Do you want to find out more about how to use error logging to make your programs more reliable and functional? You can learn more about this practice by visiting this link.
The following are some of the things you need to know about keeping track of big data.
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.
Real-time data processing is the current state-of-the-art in business platform data engineering practices. Long gone are the days of batch processing and monolithic ETL engines that are turned on at midnight. Today’s demands come from the number of mobile users and things on the internet. Mobile phones and tablets have steadily increased in the realm of customer experience as companies create mobile only or mobile-first interfaces to interact with their commercial systems or business processes. Similarly, there are other “things” in the “Internet of Things” (IoT) such as rental bikes and scooters, key-less home locks, as smart home thermostats.
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?
In our opinion Cassandra is one of best nosql database technologies we’ve used for high availability, large scale, and high speed business platforms, More specifically, we work with Datastax Enterprise version for Cassandra where the clients are above a certain size and need to have enterprise grade support 24/7 365 days a year with expertise around the world. There are many topics in which I could have written about as my first “Cassandra” post on our blog, but decided to write about what I call the three stooges of Cassandra data modeling: Larry (Tombstones), Curly (Data Skew), and Moe (Wide Partitions).