Author: Chandrasekhar
To start off discussing what we can do with data, we first need clarity on what exactly big data is. Gartner in its description says, Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation. The important part of this description… Continue reading Apache Spark 3.3.0 on Azure Synapse Analytics
As enterprises adapt to new technologies to manage large scale, complex and fragmented business units, tons of data continue to be generated. This data comes from various sources such as customer interaction, social media, sales cycles, business transactions and so forth. Enterprises are therefore weighed down by these massive amounts of data that can run… Continue reading Azure Databricks – Unified Approach for Managing Data and Machine Learning
Today, many organizations have prioritized digital transformation as central to their growth ambitions. It is a no-brainer that data powers digital transformation; however, many organizations find it complex to leverage mountains of data assets and uncover business value and distill actionable insights for decision making. Efficient data handling needs a strategic information management framework. Simply… Continue reading Modern Data Platform on Azure – Unlock the Power of Data
Data and AI are reshaping the way enterprises operate in today’s dynamic business scenario. Irrespective of their age and size, organizations are adapting to modern ways of strategy planning, empowered by cutting-edge business intelligence (BI) tools, data mining, data classification & visualization, and analysis. BI is the foundation of modern organizational structure and promotes data-driven… Continue reading Embracing the Power of Power BI: The Factory Model Approach
