ETL Tools Resources - Page 13

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: Supermetrics

Will organic Twitter ever be added to the plans?

Hi there, We currently offer two connectors providing access to organic data – Twitter Premium and Twitter Public Data. The Twitter Premium connector lets you monitor key organic metrics from your own accounts, including profile performance, tweet engagements, and audience demographics. Twitter Premium is currently only available on-demand due to the endpoint being metered by Twitter. Please contact our sales team to learn more about data volumes and pricing. https://supermetrics.com/connectors/twitter-premium Twitter Public Data is available starting in the Core package and lets you pull data from any public Twitter account, including profile info, tweet engagements, and hashtag performance. https://supermetrics.com/connectors/twitter-public-data Hope this helps! Aleks

Answered: Aleksander Cardwell on March 1, 2022

Question on: Hevo Data

How do I integrate Shopify as a source since private apps have been moved on Shopify?

Hi Girolamo, Using Hevo, it's very simple to integrate data from your Shopify apps to your database/data warehouse and an automated, near real-time pipeline can be set up within minutes. Pls refer to this link to understand the steps - https://docs.hevodata.com/sources/cloud-applications/shopify/shopify-app/. Please feel free to reach out if you need more help.

Answered: Deepanjali Khurana on April 12, 2022

Question on: Supermetrics

Is there a way of speeding up Data Studio reports with large data volumes?

We use Supermetrics for a quarterly report on Data Studio, which has a data filter in it that allows brand managers to see the data for just their pages. The load times are very long, and it feel disproportional to usual speeds on SUpermetrics, and I wondered if there is a solution for that.

Hi, If you use Supermetrics for google sheet, you may change your data granularity working with pivot table and use this pivot table as data sources. The goal is to build a data architectur consistent with your graphics and dataviz and not oversized. That's the best way I found to reduce loading. Best,

Answered: Fabien Ballario on February 8, 2022

Hey Mathias, There are a number of things that could contribute to Data Studio reports slowing down, especially at high volumes, such as long date ranges and complex calculated fields. We have a comprehensive best practices guide for Data Studio on our support center that helps you optimize loading speeds – you can find it here: https://support.supermetrics.com/support/solutions/articles/19000126988-best-practices-for-data-studio In addition, you can also use Google's free Extract Data connector jointly with Supermetrics to speed up reports. Here is a great blog that outlines the approach as well as how to set it up: https://supermetrics.com/blog/google-data-studio-slow Last but not least, you may want to consider using a data warehouse, as the source of data. For example, Google BigQuery integrates very well with Data Studio You can use the same Supermetrics connectors to move data to BigQuery, and then visualize it in Data Studio. There are a number of benefits to this approach, one of them being faster load speeds. To learn more about this approach, check out the link below: https://supermetrics.com/product/bigquery I hope all of this helps!

ETL Tools Articles

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

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

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

How Data Integration Helps Make Strategic Decisions

Introducing G2’s Latest Category: Data Warehouse Automation

ETL Tools Glossary Terms

ETL Tools Discussions

ETL Tools Reports