Understanding the Future of Data Ingestion by Exploring the Past
The ETL data ingestion method—extract, transform, load—originated when database processing protocols were becoming more standardized. Storing and using data required these three steps. In recent years, cloud computing has made it possible to flip the last two steps—loading and transfo …
How to Build a Data Ingestion Pipeline
Businesses collect more data than ever. But in order to use it effectively, all of this data needs to get to the right place in the right format.
What Is Data Ingestion?
The past decade has made two things clear: Data is the backbone of modern business, and data is only getting bigger.
What Are the Steps to Data Migration?
For data to be useful, it needs to be in the right form and in the right place.
The Best Strategies for Cloud Data Migration
If you’re considering a migration to a cloud environment – well, you’re in good company. Experts estimate that 90% of companies use a cloud-based environment in some capacity, and Cisco predicts that cloud data centers will process 94% of all workloads in 2021.
Data Ingestion Framework: Tool vs. Custom Solution
A data ingestion framework refers to the collection of processes and technologies that are used to carry out data ingestion.
The Top 6 Data Ingestion Tools for 2021
Data ingestion is increasingly a necessity for enterprise businesses. In a world with more and more data, the tools that effectively compile and process that data are more than commodities – they’re a strategic advantage.
Data Ingestion vs. ETL vs. ELT: What Are the Differences?
As you consider your data ingestion needs, you’ll inevitably run into common strategies to solve your requirements. Often, these processes are identified via acronym.