Remove 2014 Remove Big Data Remove Data Engineering Remove Development
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Fundamentals of Data Engineering

Xebia

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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Congrats to @DataTactics: Just acquired by L-3 for #BigData and #Analytics capabilities

CTOvision

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. Headquartered in McLean, Va.,

Analytics 104
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Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

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.

Big Data 116
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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

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.

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Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

Looking for a comprehensive guide on SaaS development? In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure 52
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What is data visualization? Presenting data for decision-making

CIO

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. Explanation: Explanation visualizations tell a story to an audience using data. It also has a mobile app.

Data 303
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What is OLAP: A Complete Guide to Online Analytical Processing

Altexsoft

An overview of data warehouse types. Optionally, you may study some basic terminology on data engineering or watch our short video on the topic: What is data engineering. What is data pipeline. Applying data models is easier when we use a storage for a single purpose. Building a cube.