Category: big data

What Is Starburst Data And Why You Should Use It – Data Engineering Consulting

Even small companies these days on average have 47.81 terabytes of data that they manage. Regardless if you’re a small company or a trillion-dollar behemoth, data is driving decisions. But as data ecosystems become more complex, having the right tools for the job is important. One modern data management tool that can help manage data at really…
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March 6, 2021 0

How We Helped Our Clients Reduce Their Costs And Increase Profits In 2020 – Data Consulting

Photo by bruce mars on Unsplash Technology has been speeding forward through 2020. The impacts of Covid have only sped up the adoption of change for companies. Companies small and big, start-ups and corporations have been pushed to innovate and improve processes.  For example, small, medium, and large companies are migrating to the cloud to…
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December 14, 2020 0
data science consulting

The Future Of Data Science, Data Engineering And Tech: 6 Experts Views On Tech In 2021

.Photo by Kelly Sikkema on Unsplash As 2020 has comes to a close, we wanted to take a moment to reflect on all the changes in technology as well as look to see where things are going. Whether you are looking at start-ups and their IPOs, improvements in technology or you paid attention to Amazon Re:Invent.…
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December 9, 2020 0
starburst data consulting

How Can Presto And Starburst Data Improve Your Data Analytics

Even small companies these days on average have 47.81 terabytes of data that they manage. Regardless if you’re a small company or a trillion-dollar behemoth, data is driving decisions. But as data ecosystems become more complex, having the right tools for the job is important. One modern data management tool that can help manage data at really…
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December 5, 2020 0

What Are ETLs And Why We Use Them

The rise in self-service analytics is a significant selling point for data warehousing, automatic data integrations, and drag and drop dashboards. In fact, in 2020, the largest software IPO this year was a data warehousing company called Snowflake. The question is how do you get your data from external application data sources into a data…
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November 20, 2020 0

How To Analyze Data Without Complicated ETLs For Data Scientists

Photo by Ramón Salinero on Unsplash Data scientists and data analysts are constantly required to answer questions for the business. This could result in a more ad-hoc analysis or some form of model that will be implemented into a company’s workflows.  But to perform data science and analytics, teams first need access to quality data…
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September 29, 2020 0
sql consulting

5 Trends In Big Data And SQL To Be Excited About In 2020

Photo by Mr Cup / Fabien Barral on Unsplash SQL is one of the most in-demand technical skills in the workplace today. Developed back in the 1970s, it is still the way we interface most of our data systems today. Regardless of what drag and drop tools come around or what new query paradigms try…
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July 8, 2020 0
data virtualization consulting

What Is Data Virtualization

Photo by Shahadat Rahman on Unsplash With the increased need for data analytics and data science that is even more granular and allows for self-service analytics. Getting access to the data you need still is far from easy. If you have worked in any role related to data, or even just adjacent to it, you…
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June 20, 2020 0
automation python programming

How to Automate Your Emails With Python

Automating daily tasks with Python is easy. With a combination of APIs and easy-to-understand libraries, you can easily set up systems that scrape websites, send emails, and manage data and analytics. One very common task you’ll need to automate in the corporate world is the ability to scrape public government data. This usually comes from…
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May 16, 2020 0
Seattle consulting

Data Engineering 101: Writing Your First Pipeline

Photo by Mike Benna on Unsplash One of the main roles of a data engineer can be summed up as getting data from point A to point B. We often need to pull data out of one system and insert it into another. This could be for various purposes. This includes analytics, integrations, and machine learning. But in…
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March 20, 2020 0