Data pipelines, as the heart of a data engineering system, are designed to transform and transport data efficiently. They are a core responsibility of data engineers and their construction is […]

Behavioral Analytics is the process of gathering and analyzing data from actions taken by users of digital products, such as apps or websites. This data allows companies to see how users […]

We are all witnessing an unprecedented increase in information worldwide, and online. This is leading to the idea of big data. Data science is a complex area because of the complexity […]

Software-defined storage (SDS) solutions a popular technology of today are alternative data storage programs where you can decouple the storage resources from the underlying physical hardware. These are more flexible […]

In the data storage, arena data lakes and data swamps are not new names. Both follow the same approaches for storing data compiling structured and unstructured data in one repository. In large […]

Storage management software, also known as data storage management software is a special type of program designed for managing storage solutions like storage networks. With storage management software you can […]

Big data analytics is the specialized techniques and technologies used to process a large set of data. On-hand database tools are practically incompatible with processing such a large set of […]

The growth of data is the key driver that is enabling new solutions in the technology space. Based on the data and its storage requirement data storage technologies have been […]

Big data management is a crucial area which is essential when enterprise data stores are growing exponentially. This is a challenging area too because managing big data is increasingly a […]

As the need for analytical processing, AI, Machine learning, Industrial IoT, etc has risen, at the same time it demands to deal with the massive amount of data. Not only […]

With real-time analytics enterprises can generate analytics reports as and when the data is received.Furthermore, using real-time analytics, enterprises can receive fresh and contextual analytics reports. This gives close relevance […]

In today’s scenario effective supply chain analytics requires to be more customer centric. Maintaining integrity and accuracy it must respond quickly. The need of the hour is supply chain analytics […]

In today’s arena data is the most vital criterion based on which much critical business decision takes part in the organization. Utilizing data analytics and machine learning algorithms companies derived […]

In Big data space if we think about large-scale data processing, then Apache Spark is considered as a unified analytics engine. Read more…

What is Big data as a Service and how it addresses the challenges associated with Big data? What are the advantages of BDaaS? Read more..

Big data analytics which is an emerging technology of Big data not only making big changes in the way the e-commerce and e-services operate but also making traditional data analytics […]

To better comprehend Big data, knowledge of data science and data analytics has become an integral part of it. Thus it often creates confusion when we come to the difference […]

In today’s ultra-competitive market, a business just can’t win by utilizing its products and services. Instead, a holistic approach towards customer analytics can be the solo game player to win […]