Blogs

What is a Data Lakehouse and Why does it Matter?

04/04/2023 by Devesh Salvi & Aastha Jha

Learn about Data Lakehouse, the innovative open architecture that combines the benefits of Data Warehouses and Data Lakes for better data management and analysis.

Do You Have an Accurate Data Inventory?

03/14/2023 by Devesh Salvi & Aastha Jha

Maintaining an accurate inventory of data is crucial, especially in today's remote work and cloud-based application environment. Organizations today sit on stacks of data, both structured and unstructured, scattered across different locations within the company and in the cloud.

Building Scalable Data Fabric to Comply with US Healthcare Interoperability Standards

02/09/2023 by Devesh Salvi & Aastha Jha

The US Center for Medicare and Medicaid Services (CMS) has taken a step forward in advancing the interoperability and authorization process for the US Healthcare industry by advocating the adoption of the United States Core Data for Interoperability (USCDI) standard.

Graph Analytics: The Future in Data Science?

01/25/2023 by Devesh Salvi & Aastha Jha

Data leaders are currently facing the challenge of not only managing large volumes of data, but also extracting meaningful insights from that data. In many cases, the connections and relationships between data points are more important than the data points themselves.

Top 6 Data Engineering Best Practices For 2023

01/23/2023 by Devesh Salvi & Aastha Jha

The field of data engineering is constantly evolving, and it can be challenging for professionals to keep up with the latest best practices. In this article, we will explore the top 6 data engineering best practices for 2023.

MODAK DATA ENGINEERING STUDIO™

10/14/2022 By Baz Khuti & Aastha Jha

We're all familiar with Movie Studios - a place where stories are choreographed with pre-assembled sets, immersive CGI animations, and talented actors, all working together to create films that entertain and captivate us.

Is your Data Strategy ready for a Multi-Hybrid Cloud Future?

10/14/2022 by Devesh Salvi

Prior to the advent of cloud computing, enterprises had all their data and applications with on-prem data centers and hosting providers.

Seven Habits of a Highly Impactful Chief Data Officer (CDO)

09/27/2022 by Aarti Joshi

The Chief Data Officer (CDO) is the most senior executive responsible for advocating and promoting data as a strategic enterprise asset. The CDO role is rapidly evolving, and their success is critical to driving an organization's growth and innovation charter.

Are Your Cloud Costs BURSTING?

07/06/2022 By Vishrut Mishra & Devesh Salvi

The promise of cloud computing is to provide pay-as-you-go pricing and large-scale computing and storage infrastructures that scale on-demand. As Enterprises accelerate their journey to the Cloud to process more and more data, the IT operational (OPEX) costs are skyrocketing.

Building an Interoperable Data Fabric on Multi-cloud at a Top 5 Healthcare Insurance Company

06/30/2022 by Rajesh Vassey

Healthcare insurance companies depend on capturing data of their members, data such as healthcare plans, medical data from healthcare providers, review, approval of medicines, and managing Medicare plans for millions of Americans.

Combining Data Mesh and Data Fabric Capabilities

04/28/2022 by Mayank Mehra & Adrian Estala

Data Fabric and Data Mesh concepts are front and center for many data-driven organizations and are routinely compared in data management and engineering circles. If you want some practical ideas to accelerate your data strategy, look for opportunities to learn from both approaches and leverage the best for your design.

Looking to establish a Data Fabric and a Data Mesh?

04/07/2022 by Devesh Salvi

The terms Data Fabric and Data Mesh are now routinely used in the data management and engineering circles. Given the hype and marketing, reaching an agreement on their definitions and usage patterns is proving difficult.

Building Blocks of a Modern Data Platform

04/07/2022 by Milind Chitgupakar, Mark Ramsey & Baz Khuti

An MDP is a new approach and architectural pattern of data management. Modern Data Platform provides an automated data infrastructure that continuously feeds analytical models and AI algorithms that learn and evolve as more data is fed into them.