Apache Spark Highlevel-Security
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Apache Spark Highlevel-Security

Implementing High-Performance ClickStreams Analytics with Hbase and Phoenix
0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
0 students enrolled
Created by Ashok M
Last updated 3/2017
English
Curiosity Sale
Current price: $10 Original price: $20 Discount: 50% off
30-Day Money-Back Guarantee
Includes:
  • 27 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Learning about security
  • Learning about spark
  • Learning about implementation
View Curriculum
Requirements
  • Basic knowledge of Computers
  • Basic knowledge of Hadoop
  • Basic knowledge of java
  • Basic knowledge of AWS
Description

As we all know that Spark is an opensoruce and R is also an opensource.But the main problem or issue that Spark does not provide any visualization feature.To get that feature we can integrate Spark and R to get a comprehensive .solution. As  a comprehensive  spark solution,SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. In Spark 2.0.2, SparkR provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc. (similar to R data frames) but on large datasets. SparkR also supports distributed machine learning using MLlib.You will learn how to create spark cluster in Databricks.You will learn how to create dataframes and grouping data and aggregating data.

Hadoop is an Apache open source framework written in java that allows distributed processing of large datasets across clusters of computers using simple programming models. A Hadoop frame-worked application works in an environment that provides distributed storage and computation across clusters of computers. Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage

Prerequisites:

You should have basic knowledge of Spark and R

  • Who have  some R experience that wants to learn about big data solutions
  • Who are interested in SparkR and Hadoop
  • Who are interested in Spark and cluster computing
Who is the target audience?
  • This is for all Students
  • This course is for all developers
  • This is for all Managers
  • This is for all Architects
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Curriculum For This Course
+
Introduction to course
4 Lectures 18:57


Various Methods of Authentication in Spark
03:59

Spark Authentication
02:42
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Advanced Spark
3 Lectures 08:28
Demo-1
04:33

Demo-2
02:31

Demo-3
01:24
About the Instructor
Ashok M
2.4 Average rating
61 Reviews
338 Students
29 Courses
Architect

I am  Reddy having 10 years of IT experience.For the last 4 years I have been working on Bigdata.
From Bigdata perspective,I had working experience on Kafka,Spark,and Hbase,cassandra,hive technologies.
And also I had working experience with AWS and Java technologies.

I have the experience in desigining and implemeting lambda architecture solutions in bigdata

Has experience in Working with Rest API and worked in various domains like financial ,insurance,manufacuring.

I am so passinate about  new technologies.


BigDataTechnologies  is a online training provider and has many experienced lecturers who will proivde excellent training.

BigDataTechnologies has extensive experience in providing training for Java,AWS,iphone,Mapredue,hive,pig,hbase,cassandra,Mongodb,spark,storm and Kafka.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges.

Main objective is to provide high quality content to all students