Latest Stories In: Panoply Blog: Data Management, Warehousing & Data Analysis | Working in Data

It took a bunch of work, but you finally found the right consultant for your project and worked out a contract you're both happy with. Now you can relax and let them do ...
Working in Data
How to Manage a Data Consultant
Recently, Panoply held a webinar with Nathan Patrick Taylor, the CIO of the Symphony Post Acute Network. The focus of the webinar was on what Nathan calls the ...
Data Warehousing
Webinar Recap: The Scalability Paradox with Nathan Patrick Taylor
We know that many in the data analyst and data decision making world are often teams of one. There might be one data analyst in a company, even an SMB or large company, ...
Working in Data
Surviving and Thriving as Data Team of One
It’s a good time to be in analytics. Data analysts and scientists together comprise the No. 1 emerging occupation, poised to grow dramatically over the next four years, ...
Working in Data
How to Become an Analytics Manager: A Guide
Organizations looking to leverage big data impose a larger and different set of job requirements on their data architects versus organizations in traditional ...
Working in Data
How To Become a Big Data Architect: A Guide
We tend to take it for granted that big data is changing the world, but how exactly does that happen?
Working in Data
Data Engineer vs Data Scientist: Key Differences Explained
A data engineer conceives, builds and maintains the data infrastructure that holds your enterprise’s advanced analytics capacities together.
Working in Data
4 Skills Required to Become an Outstanding Data Engineer
The demand for skilled Data Engineers (or Big Data Engineers) is projected to rapidly grow. No wonder that’s the case: no matter what your company does, to succeed in ...
Working in Data
How To Become A Data Engineer: A Guide
As a data engineer, I enjoy my work, but when it comes to integrating and managing data there are quite a few tasks that are downright tedious. From data remodeling to ...
Working in Data
What Do Data Engineers Do That Keeps Them Awake At Night
Extract, Transform, and Load (ETL) is a data warehousing process that uses batch processing to help business users analyze and report on data relevant to their business ...
11 Great ETL Tools, and the Case for Saying “No” to ETL

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