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The Future of Java: Top Trends and Technologies

Knowledge Hut

For over 2 decades, Java has been the mainstay of app development. Another reason for its popularity is its cross-platform and cross-browser compatibility, making applications written in Java highly portable. These very qualities gave rise to the need for reusability of code, version control, and other tools for Java developers.

Java 97
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Data Engineering Roadmap, Learning Path,& Career Track 2025

ProjectPro

In 2017, Gartner predicted that 85%of the data-based projects would fail and deliver the desired results. Good skills in computer programming languages like R, Python, Java, C++, etc. These pipelines draw hidden insights about a business’s overall functioning and help stakeholders understand their customers, outreach, sales, etc.

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Getting to Know Hadoop 3.0 -Features and Enhancements

ProjectPro

x is anticipated to be rolled out sometime mid of 2017. x Minimum Required Java Version Fault Tolerance Storage Scheme Change in Port Numbers YARN Timeline Service Intra DataNode Balancing Number of NameNodes Heap Size Why Hadoop 3.0? a dependency upgrade to modern versions as most of the libraries only support Java 8.As

Hadoop 40
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Your 101 Guide on How to learn Python for Data Science!

ProjectPro

In 2017, Python replaced R in terms of popularity, as per a poll conducted by KDNuggets, and a similar was the case for the year 2018. Step-2 Create your Data Science Portfolio The next step is preparing a project portfolio. Portfolios are best suited for showcasing your skills in a particular topic. PREVIOUS NEXT <

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Your Step-by-Step Guide to Become a Data Engineer in 2025

ProjectPro

According to the website comakeit, the big data and data engineering services market is estimated to grow from 18% per annum in 2017 to 31% p.a. Additionally, as more and more companies rely on cloud solutions, there is an urgent need to hire many data engineers to provide essential support to the team of data scientists.

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The Show Must Go On: Securing Netflix Studios At Scale

Netflix Tech

Written by Jose Fernandez , Arthur Gonigberg , Julia Knecht , and Patrick Thomas In 2017, Netflix Studios was hitting an inflection point from a period of merely rapid growth to the sort of explosive growth that throws “how do we scale?” into every conversation. Netflix engineers talk a lot about the concept of a “ Paved Road ”.

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8 Best Python Data Science Books [Beginners and Professionals]

Knowledge Hut

The first version was launched on 30 December 2011, and the second edition was published in October 2017. There are numerous large books with a lot of superfluous java information but very little practical programming help. Make a data science portfolio while you are learning Python. This book is rated 4.16