Security risk is everywhere and it has been growing rapidly while we try to mitigate the threat at the same time. The fraudsters are always a step ahead of the curve and come up with new ideas for attacks while we are busy in handling the older ones. The mitigation of security risk requires all of us to innovate faster and prepare in much advance and in modern manner. Most of the times we keep solving the older problems due to the enormity of challenges here, forget about preparing for the potential upcoming attacks. The sheer definition of problem is not available most of the time, the tools ..read more

Humans to Machine – Shift of data source There is a rapid shift happening at the data level as we speak. More and more data is being created by devices, which are fast moving and contains very high value but perishable insights. This shift is demanding a new architecture of stream processing platform for realtime data analytics. Data has been growing exponentially. We have more data streaming through the wire that we can keep them on disk from both value and volume perspective. These data are being created by everything we deal with on daily basis. When humans were the dominant creator of data ..read more

E-commerce business needs to collect data from various sources, analyse them in real-time and gain insights to understand the visitors behaviour, patterns which will allow the company to serve the customers in contextual and better ways to boost the conversion rate. A real time data platform is need of the hour which can combine stream analytics with Graph and AI to enable predictive analysis for better personalisation for the users which significantly improves the sales by 2X or even more. Real-time and predictive data-platform for boosting e-commerce sales by visitor analysis is need of the ..read more

Before we talk about hybrid architecture, let’s go over what IoT actually describes in case the term feels kind of fuzzy for you like it does for most people.  The Internet of Things refers to the way everything is becoming connected. From your smartphone to your home to your car and beyond, all technology is moving toward a place of constant connection and interaction.  To keep up in business, you have to think about more than just the user experience on your website or app. How will a user interact with your business on their commute to work? What about when they’re on the treadmil ..read more

As you start to think about database solutions for your business, you’ll come across different ways to store and manage data. In this article, we’ll look at how and when you might benefit from using a NoSQL database over other options.  Wherever you are starting from, you have to consider which type of database technology makes the most sense for the needs of your business.  The NoSQL database is a powerhouse of a management solution best suited for businesses working with a lot of unstructured data in huge volume and in real-time. If you’re a small business with a low volume of stru ..read more

Learn all about the difference between SQL and NoSQL and when you can and should use both database structures to power your applications. Learning the difference between SQL and NoSQL databases can guide you in choosing the best tools for your project. Each type of database has its benefits but using both SQL and NoSQL can have even greater benefits. Learn the 4 big differences between SQL and NoSQL as well as instances where you might consider using both to power your technology for the best customer experience and software use. 4 Main Differences Between SQL and NoSQL At their very core, SQL ..read more

SQL databases served the needs of developers for several decades until the big data boom hit and demanded a more flexible, high data volume option. The amount of data the world is producing grows day after day. And as it grows, technology experts are looking for ways to store and access this data to improve the customer experience and analyze activity.  This growing data volume required changes in database options. Relational databases are expensive and challenging to scale since developers can only scale them horizontally. Yet, SQL has always been the go-to data structure up until about ..read more

Non-relational database systems are growing in popularity. They’re scalable, accessible, virtually always available, and they solve many of the problems and limitations of relational database models in real-time.  That’s why companies around the globe are turning to these modern technological wonders to power their businesses with big data insights. Although amazing breakthroughs happen every day, there is a dark side to managing big data analytics with NoSQL, and it’s something we wanted to shed light on so you can make informed decisions for your own business. Challenges of Big Data Ana ..read more

The world of data storage and retrieval can be incredibly simple, or very challenging.  When you leverage the right solution for the amounts and types of data you’re dealing with, then you’ll make life much easier for yourself. First, you need to know what types of storage options are available to you. In general, you can store and retrieve data using any of the following: Spreadsheets (i.e. Microsoft Excel) Relational Database (i.e. SQL) Non-Relational Database (i.e. NoSQL) Spreadsheets are best for small datasets. For instance, when you’ve got less than 10,000 records to manage, you c ..read more

NoSQL databases are no longer something that developers will use in the future. We’ve officially reached the future where these databases are common ways to power large, popular applications. We’ll demonstrate some popular applications you might not realize are using NoSQL databases and why NoSQL is perfect for these applications. Uber Uber grew at incredible rates when it was first introduced to the marketplace. The app requires instant data availability to pair drivers with empty cars with nearby potential passengers waiting on the curb.  The application had to be incredibly scalable b ..read more