Learn the in's and out's of of Hadoop and MapReduce by taking this course open to intermediate users. Topics will basically touch on Flume, CassandraHadoop and MapReduce. After finishing the course, you will be able to apply the fundamental principles and make sense of your big data.
Udacity is the most famous course providers when it comes to cutting-edge technlogy subjects such as AI, self-driving cars, blockchain, and more. The Sillicon Valley startup has grown out to an educational behomoth and is especially famous for the Nanodegrees.
This course is open to beginners, intermediate and advanced learners who want to be well-versed with different technologies. Topics will basically touch on Flume, Cassandra, Hbase, MongoDB, Hive, Spark, Pig, HDFS, Hadoop and MapReduce. On top of that..
For those new to data science, this course is for you. It provides lessons on Big Data landscape, the V's of Big Data, Hadoop, MapReduce programming model and more. The course is available for all levels. After this great Coursera course has been co..
If you need help in analyzing large data sets, check out this course today. These great tutors provide pointers on how to use Apache Spark either on Hadoop or desktop. Learn the 2+ hands-on examples throughout this course and gain substantial knowled..
In this week long intensive course aimed at advanced data engineering students who are interested in specializing in the google cloud platform, you will enjoy videos, practical labs and presentations. The course content includes building and managing..
This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark..
Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most ..
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