Maria Anurag Reddy Basani, a seasoned expert in data engineering and analytics, has made significant strides in the field over the past decade. With experience spanning industries such as insurance, ...

Co-Founder & CTO of Datametica Solutions, leading the company's long-term technology vision and ensuring alignment with business strategy. With the advantages of scalability, enhanced performance and ...

Moving data between applications and warehousing data for analysis are recurring issues for app builders, data engineers, and IT teams. But we all know our businesses can benefit in significant ways ...

Overview: MongoDB continues to power modern applications, but analytics requires structured, reliable pipelines.ETL tools ...

The processing needed to populate a data warehouse is generically referred to as “ETL.” ETL originally stood as an acronym for “Extract, Transform, and Load.” Those three kinds of actions were ...

In this data-driven age, enterprises leverage data to analyze products, services, employees, customers, and more, on a large scale. ETL (extract, transform, load) tools enable highly scaled sharing of ...

Katta's expertise in optimizing ETL workflows and implementing data quality frameworks can serve as a blueprint for successful data transformation initiatives. In a world where data is increasingly ...

In today's IT landscape, information is crucial. Any business, could be a startup or an established one, requires relevant data or information to make better business decisions, manage sales ...

Extraction, transformation and load (ETL) became a familiar concept in the 1990s, when data warehousing became a well known business intelligence (BI) concept. The advent of the web, and the vast ...

In this special guest feature, Monte Zweben of Splice Machine outlines how traditional ETL processes are bursting at the seams with the volume of Big Data and ways to streamline the ETL pipeline.