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July in Big Data: R, Kafka, and Lessons Learned

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July in Big Data: R, Kafka, and Lessons Learned

Check out the top articles on DZone that you should check out, the top news that happened in the world of big data, big data jobs you might be interested in, and more.

· Big Data Zone
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Learn best practices according to DataOps. Download the free O'Reilly eBook on building a modern Big Data platform.

Welcome to the first-ever edition of This Month in Big Data! In this article, we'll cover everything you need to know about big data from the past month, including the top big data-related articles on DZone that you should check out, the top news that happened in the world of big data, big data jobs that you might be interested in, and more. Let's get started!


DZone Big Data Bonanza

  1. The Most Important Lessons Learned From Data Science Projects by Chris Richardson. Some of the most important lessons that this data scientist has learned from his projects are to understand business goals, to collaborate, and to practice. 

  2. Is R the Next-Generation Programming Language for Big Data? by Ryan Kh. Big data is changing our lives in many ways — and developers have found that R has many big data features that other languages lack.

  3. Is Big Data Dead? by Vikas Hazrati. Big data frameworks are only part of what you want to do. They're more than a drop in the ocean, but they're still not enough.

  4. Anaconda and Python Appeal to Data Scientists by Tom Smith. Check out an interview that will help you understand the foundational principles of data science and the business problem you are trying to solve.

  5. An Introduction to Kafka by Prashant Sharma. Learn the basics of Apache Kafka, an open-source stream processing platform, and learn how to create a general single broker cluster.


Browsing Big Data

  1. Three Big Data Developments No One Is Talking About, by Nick Elprin and Philip Levinson at Information Week, July 18, 2017.

  2. Big data: what can the internet tell us about who we really are? from The Guardian's Science Weekly Podcast, July 12, 2017.

  3. The 10 Coolest Big Data Startups Of 2017 (So Far), by Rick Whiting at CRN, July 7, 2017.


Be a Big Data Boss

Below are a few Big Data-related jobs that may pique your interest. Feel free to check them out and apply today!

Network Data Scientist
Thousand Eyes
Location: San Francisco, CA, United States
Experience: Expert knowledge of internet protocols (TCP/IP, DNS, BGP, HTTP), expert knowledge of Python or Java, and experience with MySQL and NoSQL (Mongo, Hadoop).

Program Architect: Data and Analytics
Mindtree LTD
Location: Anywhere!
Experience: 15-18 years of experience in designing/architecting/implementing large-scale data processing/storage/distribution systems and extensive experience working with large data sets.


Dive Deeper Into Big Data

  1. The DZone Guide to Big Data: Data Science and Advanced Analytics. Explore the critical capabilities in next-generation self-service data preparation tools and dive deep into applications and languages affiliated with big data.

  2. Recommendations Using Redis. Learn how to develop a simple recommendation system with Redis, how to use commands, and how to optimize your system for real-time recommendations in production.

Find the perfect platform for a scalable self-service model to manage Big Data workloads in the Cloud. Download the free O'Reilly eBook to learn more.

Topics:
big data ,data science ,r ,kafka

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