Infonex Technologies: Unraveling the Complexity of Big Data

With companies increasingly riding the wave of digital transformation, big data has become the mainstay of numerous industries. According to Afzal Ebrahim, the CEO of Infonex Technologies, although big data is growing exponentially, it comes with its fair share of challenges. Ebrahim has garnered over a decade of rich experience as an entrepreneur, primarily in the data analytics space, prior to which he worked as a data engineer in premier organizations like Hewlett Packard and Oracle. Ebrahim says, “I could see these organizations struggling with the way they manage data to extract meaningful insights from them.” It was during his stint as a data engineer that he discovered his passion for data. Driven by this passion, Ebrahim embarked on the path of entrepreneurship in the year 2004. Infonex Technologies is a custom data solutions provider that serves both Fortune 500 and mid-size organizations. A nationwide company, as a pioneer of data warehouses, at the outset, Infonex primarily catered to the healthcare research space with its flagship solution—a Research Data Warehouse (RDW) platform. As Infonex continued to build research data warehouses and other traditional data warehouses for its clients, owing to the growing popularity of big data, clients began to inquire about the possibilities with big data and it is this curiosity and interest that led to company’s patent offering, Datameer-Analytics – an end-to-end big data solution built to abstract the complexity of Hadoop.

A self-service tool, Datameer-Analytics is designed primarily for non-technical users and decision makers to leverage a Hadoop cluster for their reporting and analytics needs, without having to rely on IT. Datameer-Analytics makes a big data implementation exceedingly easy as it can efficiently simplify the complexity of gleaning insights from the data, which requires multiple people knowing different technologies working as a single unit. What makes Datameer-Analytics one of a kind is its ease of use. Customers can install the solution, which wraps itself around their big data cluster to create a simple handle, enabling them to manipulate the data directly through the solution instead of modifying their complex big data framework. For instance, in case of reporting changes, which requires 3-4 weeks’ time for IT personnel, Datameer- Analytics follows a no ETL or schema-on-read approach to enable instantaneous changes to reports without relying on technical personnel to make changes to the underlying code or database. As Joe McKinney, the CIO of Infonex Technologies puts it— “Our goal is to help clients maximize the value of analytics investment by enabling anyone in their organization to unlock insights through big data visualization—not just the data scientists.”

Bringing Clarity to Data Lake

Datameer-Analytics comprises efficient data curation modules that cleanse the data thoroughly from the data lake, allowing customers to access clean and better-quality data.