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The Good and the Bad of Hadoop Big Data Framework

Altexsoft

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

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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. Graph processing.

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Data Integration on Oracle Cloud Infrastructure

Apps Associates

Use Case 1: Data integration for big data, data lakes, and data science. Efficiently load and transform data at scale into Data Lakes for data science and analytics. Load the data into object storage and create high-quality models more quickly using OCI data science. Only Linux.

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New live online training courses

O'Reilly Media - Ideas

Building Your LinkedIn Network , August 13. Data science and data tools. Business Data Analytics Using Python , June 25. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Learn Linux in 3 Hours , July 1.

Course 66
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Building Your LinkedIn Network , August 13. Data science and data tools. Business Data Analytics Using Python , June 25. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Learn Linux in 3 Hours , July 1.

Course 50
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The Good and the Bad of Docker Containers

Altexsoft

Gone are the days of a web app being developed using a common LAMP (Linux, Apache, MySQL, and PHP ) stack. Launched in 2013 as an open-source project, the Docker technology made use of existing computing concepts around containers, specifically the Linux kernel with its features. Now the software is available for macOS, too.

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Fascinating Facts from Kentik

Kentik

Big Data Stats Reveal Industry Trends. That’s how much flow data is ingested by Kentik Data Engine (KDE), the distributed big data backend that powers Kentik Detect®. It’s also just one of the many interesting statistics that we run across as we operate our SaaS platform for network traffic analytics.

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