Why is ETL required?
ETL consists of three separate phases: extract, transform, load. Find out why an ETL process is so important for data operations.
Sean Cogan
- 4 days ago
Join Switchboard at AdMonsters Publisher Forum this August!
Join us at this year’s AdMonsters Publisher Forum in Montreal!
Navid Nassiri
- 6 days ago
Delving into data analytics
In this post, we explore real-world examples of how data analytics can help businesses thrive and the skills needed to succeed.
Navid Nassiri
- Aug 1
5 ways data automation keeps the maritime industry afloat
How data automation is used in the maritime industry today to drive efficiency, increase profitability and improve safety
Navid Nassiri
- Jul 29
Extract better insights with data automation software
Are you using the right kind of data automation software for your business needs?
Navid Nassiri
- Jul 27
Automating ETL Testing
Conducting ETL testing manually is extremely time-consuming, difficult and prone to mistakes. You need automation to take the strain.
Navid Nassiri
- Jul 25
What is an ETL data pipeline?
What is an ETL data pipeline, how do you build it, and why should you automate?
Navid Nassiri
- Jul 22
Exploring the ETL process in data analytics
ETL is an important process in data analytics. In this blog, we explore the details of ETL’s role and significance.
Navid Nassiri
- Jul 20
Enter the metaverse: how to prepare for the data tsunami that’s heading our way
Are you struggling with terabytes of data? What happens when you are faced with petabytes?
Navid Nassiri
- Jul 18
What is an ETL process example?
This blog takes a detailed look at important aspects of an ETL process in a data warehouse environment.
Navid Nassiri
- Jul 13
Switchboard named Programmatic Power Player for Data Automation
Switchboard was recognized by AdExchanger as a Top 50 Programmatic Power Player for 2022.
Navid Nassiri
- Jul 11
ETL vs. ELT: Key Differences
Learn the key differences between ETL v ELT so that you can decide which process best fits your data automation requirements.
Navid Nassiri
- Jul 7
Five steps of the ETL process
Discover the 5 main steps of a modern ETL process: Extract, Clean, Transform, Load, and Analyze.
Navid Nassiri
- Jul 5
What are the 3 benefits of data automation?
Exploring the benefits of automation in data analytics
Navid Nassiri
- Jun 28
What is automation in data analytics?
Exploring the benefits of automation in data analytics
Navid Nassiri
- Jun 23
Will a no-code environment hold up for metaverse data?
The immersive web will bring more data, but it shouldn’t require any new coding if you have the right data engineering automation in place
Navid Nassiri
- Jun 21
Why is data automation important?
As enterprise data volumes continue to soar, it becomes increasingly important to automate. Find out why.
Switchboard
- Jun 17
How to solve your data engineering roadblock: Key takeaways from Apex Assembly NYC
Co-founder & CEO Ju-kay Kwek describes how Dotdash Meredith solved its data engineering roadblock in eight weeks with Switchboard
Switchboard
- Jun 15
Switchboard for business teams: transforming messy data into actionable insights
Switchboard for business teams - how we help our customers aggregate their disparate data for accurate, reliable, and real-time insights.
Navid Nassiri
- Jun 1
Why Customer Success should underpin your SaaS solution
You’ve chosen your SaaS solution, but are you confident their CS team will enable you to get the best out of your software?