2014 Big Data Data Engineering 
O'Reilly Media - Data
MAY 24, 2018
The O’Reilly Data Show Podcast: A special episode to mark the 100th episode. This episode of the Data Show marks our 100th episode. This podcast stemmed out of video interviews conducted at O’Reilly’s 2014 Foo Camp. Continue reading The evolution of data science, data engineering, and AI.
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.
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Altexsoft
MARCH 16, 2021
In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.
CTOvision
MARCH 5, 2014
By Bob Gourley L-3 Acquires Data Tactics Corporation – Adds New Big Data Analytics and Cloud Solutions Capabilities. NEW YORK, Mar 05, 2014 (BUSINESS WIRE) — L-3 Communications announced effective today that it has acquired Data Tactics Corporation. Its highly tailored solutions are used by the U.S.
CIO
AUGUST 5, 2022
Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. The project is filled with innovative data visualizations. It’s very similar to Excel so Excel skills transfer well.
Altexsoft
JULY 18, 2023
These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.
Dzone - DevOps
FEBRUARY 16, 2023
So in this article, I will talk about how I improved overall data processing efficiency by optimizing the choice and usage of data warehouses. Too Much Data on My Plate The choice of data warehouses was never high on my worry list until 2021. In the company's infancy, we didn't have too much data to juggle.
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