Architecture Data Engineering IoT Leadership 
Xebia
JANUARY 19, 2023
The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.
CIO
OCTOBER 20, 2023
Certified Agile Leadership (CAL) The Certified Agile Leadership (CAL) certification is offered by ScrumAlliance and includes three certification modules, including CAL Essentials, CAL for Teams, and CAL for Organizations. Microsoft also offers certifications focused on fundamentals, specific job roles, or specialty use cases.
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CIO
JULY 18, 2023
The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. The net result?
CIO
FEBRUARY 14, 2023
Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Organizations have balanced competing needs to make more efficient data-driven decisions and to build the technical infrastructure to support that goal.
Hu's Place - HitachiVantara
JANUARY 3, 2019
In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.
O'Reilly Media - Ideas
MAY 1, 2019
Introduction to Leadership Skills , June 11. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4.
CIO
NOVEMBER 29, 2022
A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.
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