Celebrate the Big Data Problems – #1

Daily we are facing many big data problems in production, PoC, and more perspective. Do we have any common repo to collect and share?  No, as we know we don’t have any. As always dataottam is looking forward to share the learnings with community to celebrate their similar, same kind of problems.  And…

Summary:  Just when you thought you had a handle on the database market it fragments again.  Here’s an overview to help you keep up.…

Summary:…

As the amount of the data grows exponentially and terms such as big data become mainstream, the need to handle all this data has increased. Database skills have become some of the most sought-after in the job market today. SQL, which stands for Structured Query Language and is used for relational databases (RDBMS), is one of those skills. In fact,…

The subject of this blog might seem rather rudimentary for those who fully understand the importance of properly managing data. For those people, hopefully, you will find the post worth reading and provide constructive feedback and augment the discussion. The purpose of this post is to highlight the necessity to keep data clean and orderly so that the results of the analysis are reliable and trustworthy - if data integrity is intact, information derived from this data will be trustworthy…

This is the third article in a series.  The first article is available here. The second article is available here.

Not every database requires a temporal database implementation, but some do. We can help…

The BigObject® - A  Computing Engine Designed for Big Data

BigObject® presents an in-place* computing approach, designed to solve the complexity of big data and compute on a real-time basis. The mission of the BigObject® is to deliver affordable computing power, enabling enterprises of all scales to interpret big data. With the advances in what a commodity machine can perform, it…

We have been using tables in the relational database, mostly for the transactional purposes, and that proves effective. Considering the data size and analytic purpose, however, the data structure might need to be redesigned for better efficiency.

To determine how to decompose the complexity of big data, we have observed the way the organisms function. In the physical world, the universe is organized into a hierarchy of…

In general, computer scientists treats code and data in two very different ways. Virtual memory was originally developed to run big programs (code) in small memory, while data are entities kept in external storage and must be retrieved into memory before computing. As a result, today’s application developers think by instinct the programming model based on storage and explicit data retrieval. This model, referred to as storage-based computing, plays an important role and has done a great job…