ETL Tools Resources

Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on ETL Tools

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.

Contents

ETL Tools Articles

What Is a Data Pipeline? Types, Solutions, and Examples

Say you manage a sizable online bookshop. It’s always open. Every minute or second, customers place and pay for orders. Your website has to quickly execute numerous transactions using modest data, such as user IDs, payment card numbers, and order information.

by Samudyata Bhat

What’s in a Name: ETL, ELT, and Reverse ETL?

With the advent of automation, data volume, size, and speed are constantly evolving. The bigger concern that data teams face now is managing this enormous amount of data. Rising amounts of data bring about the need to warehouse it. The data warehousing process consists of three basic steps: extract, transform, and load, generally performed using ETL tools.

by Shalaka Joshi

All You Need to Know about G2’s Reverse ETL Category

Remember that online newspaper or magazine subscription you purchased and promised to read daily but never did? Your email is now cluttered with great information, but you barely have the time to read through it. This sums up the situation regarding data. Due to the enormous amount of data being generated, many companies cannot make the best use of it. Managing these considerable data volumes is daunting, and businesses may never use some of them. The cost of this, however, is companies miss out on the ability to generate priceless insights about their business.

by Preethica Furtado

ETL Tools Glossary Terms

Quality Assurance vs. Quality Control

Confused by quality assurance vs. quality control? QA prevents defects, and QC identifies them. Read on to learn all the differences between these terms.

by Washija Kazim

Data Integration

Data integration combines data from different sources so users can access it from a common database. Learn more about its techniques and benefits.

by Sagar Joshi

ETL Tools Discussions

Question on: Databricks Data Intelligence Platform

What is Lakehouse in Databricks?

Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.

Answered: Bhupendra Rawat on February 28, 2024

Traditional data warehouses used highly structured data that was high-cost but easy to use. Data lakes handles unstructured data at low cost in a way that was difficult to use. Lake house makes it easy to handle both types of data in way that is almost as cheap as a traditional lake and almost as easy as a traditional warehouse

Answered: Dr. Ernie Prabhakar on July 13, 2022

Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.

Answered: Brian Kichler on July 13, 2022

What is a Data Lakehouse? A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data.

Answered: Cuong Alex on November 10, 2022

See more answers (3)

Your answer

Question on: Census

How else are you using Census?

Hey all, we have been using Census for a while and I wanted to ask around how else are you using Census today? We are using Census mainly as a reverse ETL tool, but how else are you using Census today?

Hey Nikolas, Would love other Census users to chime in, but there are lots of use cases our customers use us for :) In fact, we recently revamped our customer stories page so you can filter by use cases and integration to get inspired by how others are using Census. A good place to start would be filtering by destination tools that are used in your company, that are not already connected to Census: https://www.getcensus.com/customers#all-stories Some of the most interesting use cases we see that go beyond “customer 360” are around: * Product-qualified lead scoring - a great way to help the sales team prioritize leads from trials. Learn more at https://www.getcensus.com/blog/product-qualified-leads-pqls-the-data-backed-process-to-help-you-increase-revenue * Automated personalized marketing to drive product adoption - This could be joining third party data or data from enrichment tools (e.g. Clearbit) to drive more adoption of your product. One of our customers Crossbeam use this to automatically recommend integrations to their customers inside their product: https://www.crossbeam.com/blog/how-we-use-partner-data-conversions-product-led-growth/ Hope that’s helpful and let us know if you had a specific team in mind that you wanted use cases for.