Tag: etl

data engineering consulting

 How To Build a Data-Based Business Strategy in 2022

Over the last 20 years or so, Big Data completely changed the face of business. Then the pandemic hit. While other industries skidded to a stop, the pace of technology development skyrocketed. Suddenly, our whole lives, from work to entertainment to hanging out with friends, were happening online. Worldwide, 97 percent of businesses sped up…
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May 27, 2022 0
fivetran consulting

5 Fivetran Use Cases – Examples Of How Companies Are Implementing Fivetran Into Their Modern Data Stack

gBig data is the new commodity that companies need to drive the business forward. Having access to all your companies data sets used to be limited to large companies that could afford a whole team of data engineers and software developers. But this is no longer the case. Traditionally you would need to have a…
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October 31, 2021 0

Rivery.io – What Is It and How It Can Help You Develop Your Data Pipelines

Photo by Martin Sanchez on Unsplash There are plenty of clichés about data and its likeness to oil. But it’s far from easy to get value from data. Companies are creating more data than ever before. At our current pace, 2.5 quintillion bytes of data are created every day. Companies went from pulling data solely…
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June 22, 2021 0
big data consulting seattle

3 Engineers’ Perspectives on the Modern Data Stack

Photo by Alexandre Debiève on Unsplash. There are plenty of cliches about data and its likeness to oil or companies being data-driven. The one truth I have learned from consulting over the past few years is that companies of all sizes are trying to figure out how to get to and utilize their data. The traditional methods of…
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April 5, 2021 0
data engineering consulting

ETLs vs ELTs: Why are ELTs Disrupting the Data Market? – Data Engineering Consulting

Photo by Fabio Sasso on Unsplash In the business world, cloud technology has become more and more dominant in recent years. Right now, research shows that about 50% of all business data is stored in the cloud, which just demonstrates the importance of external data sources and their place in the modern business environment. In…
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March 29, 2021 0
data engineering consulting

9 Challenges That Data Engineers Face – Data Engineering Consulting

As the data industry evolves with new technology, so do data engineering challenges. What can new engineers expect? As data engineers, you play vital roles in your field by collecting and analyzing data. But necessary data engineer skills today aren’t the same as they were in years past, and the role is seeing some serious…
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March 11, 2021 0
data engineering consulting

The Data Product Life Cycle Part 1 – Data Analytics Consulting

Photo by NEW DATA SERVICES on Unsplash Many companies treat data as an afterthought, like a chef throwing parsley on a dish and calling it a garnish. That’s because many companies don’t live and die by their data. They don’t eat, breathe and sleep data. Well, I have. Or at least, I have worked for…
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March 4, 2021 0
data science consulting

How To Modernize Your Data Architecture Part 1 – Data Analytics Strategy Consulting

Data is continuing to prove to be a valuable asset for businesses of all sizes. I say that both from the fact that consulting firms like McKinsey have found that in their research companies that are using AI and analytics can attribute 20% of their earnings to it. Similarly, I have been able to consult for…
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February 22, 2021 0
data science consulting strategy

What Is Fivetran And Why You Should Use It

When your team needs to create dashboards and metrics using data from external sources like Salesforce and MySQL, they face a difficult problem. How do they get all their data into one place in order to merge it all together? Traditionally you would need to have a large team of data engineers to connect to…
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November 20, 2020 0

Why You Don’t Always Need An ETL

Photo by Margaret Weir on Unsplash One of the biggest roadblocks for data scientists looking to analyze data is getting access to that data. The data itself will need to be processed and placed into a central data system like a data warehouse or data lake. This is done by using what we call an…
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August 27, 2020 0