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Category: Data Ingestion

These 3 Trends will shape the data and analytics landscape in 2022

Posted on April 11, 2023March 21, 2024 by PC Kiran Kumar
These 3 Trends will shape the data and analytics landscape in 2022

In 2021, we witnessed an explosion in cloud adoption as enterprises continued to focus on digital transformation in response to the global pandemic. Many companies tested the waters by moving data, analytics, and business use cases to the cloud for the first time. Both cloud adoption and migration will continue to gain momentum in 2022 across industries, with DataOps, 5G, and edge analytics playing key roles in the digital transformation journey. Here’s what we can look forward to in 2022.

Posted in Data Ingestion, Data IntegrationTagged MLOps

Self-service ingestion: The key to creating a unified, scalable, cloud data lake

Posted on April 11, 2023March 6, 2024 by PC Kiran Kumar
Self-service ingestion: The key to creating a unified, scalable, cloud data lake

Enterprises are increasingly leveraging cloud-based data lakes to run large-scale analytics workloads and tap data-driven insights for better decision making. Cloud-based data lakes offer unmatched elasticity and scalability, enabling businesses to save costs and improve time-to-market.

The first step in creating a data lake on a cloud platform is ingestion, yet this is often given low priority when an enterprise enhances its technology. It’s only when the number of data feeds from multiple sources starts increasing exponentially that IT teams hit the panic button as they realize they are unable to maintain and manage the input.

Self-service ingestion can help enterprises overcome these challenges and unlock the full potential of their data lakes on the cloud. Here are a few of the benefits.

Posted in Data Ingestion, Data IntegrationTagged Data Ingestion, ETL

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