Dealing With Big Data – Computerphile
Big Data sounds may be a buzz word, and is hard to quantify, but the problems with large data sets are very real. Dr Isaac Triguero explains some of the challenges.
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What Does the Future Hold for Hadoop?
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Frank
- December 10, 2019
- amazon s3
- big data engineer
- big data engineer courses
- Cloud
- cloudera
- companies using hadoop
- data bricks
- data engineer career
- edureka
- edureka hadoop
- edureka training
- future of hadoop
- Hadoop
- hadoop 2020
- Hadoop job trends
- Hadoop salary trends
- hdfs
- Hortonworks
- intricity 101
- intricity101
- mapr
- MapReduce
- Microsoft Azure
- redshift
- sequence files
- snowflake
- what is hadoop
- what is the future of hadoop?
While I’m partial to Spark these days, I still think that Hadoop will remain relevant for years to come. edureka! covers the future of Hadoop and why it may still have a bright future.
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A Closer Look at Apache Spark
ComputerPhile has a great video where Rebecca Tickle explains the inner workings of Apache Spark and what makes it better than MapReduce. As an added bonus, she uses Scala in the demo. It’s also interesting to note that she used Spark in her day job pulling IoT data from trucks (“Lorries”).
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What is MapReduce?
Programming thousands of machines is no easy task. One approach pioneered by Google is known as MapReduce. MapReduce provides a programming model that simplifies programming thousands of machines by breaking down distributed programs into two steps: map, and reduce.
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Introduction to Hadoop and MapReduce
Udacity has made a large portion of their Introduction to Hadoop and MapReduce available for free on YouTube. 72 videos of complete big data bliss
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Map, Filter, and Reduce Functions in Python
The map, filter, and reduce functions in Python simplify the job of working with lists. In this lesson, learn how to use each function.
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