Best Institutes for Apache Spark 2.4 training in Jaipur with Course Fees
List of 28+ Apache Spark 2.4 training institutes located near to you in Jaipur as on June 6, 2020. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.
Address: IIHT #42 Opp. Jaipur Hospital Near Resonace Study Centre Main Tonk Road Durgapura Gopalpura Jaipur-302018
Since 1993, IIHT has been providing a learning platform through job-oriented IT courses, thereby bridging the skill-gap.
Address: 5A-5B, 2nd Floor, Gautam Marg, Vaishali Nagar, Jaipur - 302021
Samyak IT Solutions is started in year , with the sole aim of providing end-to-end IT solutions and integration services through a unique onshore and offshore delivery model.
Address: 219-Himmat Nagar,Gopalpura Turn,Tonk Road,Jaipur 302018
GRRAS is a known Linux training institute and Solution providing organization in Servers running on Linux.We conduct RHCE,RHCVA and RHCA examinations also at its center in Jaipur, Ahmedabad, Pune..
Address: 21, Pratap Nagar Colony, Behind Kala Colour Lab, Near Glass Factory, Jaipur 302018
Apache Spark 2.4 Training Institutes in Jaipur - by Location
Yet5.com Provides complete list of best Apache Spark 2.4 training institutes in Jaipur and training centers with contact address, phone number, training reviews, course fees, job placement, course content, special offers and trainer profile information by area.
Learning Apache Spark 2.4 course in Jaipur - Benefits, Advantages & Placements.
We have identified the benefits of learning apache-spark course in Jaipur.
Apache Spark 2.4 training in Jaipur is part of Hadoop training course class,
The pink city is the largest city of the state Rajasthan and 10th most largest in the country. The city is an emperor for tourist across the world and is a shadow of Rajasthan culture. The city has witnessed the ancient rulers and has a special place in the books of history. People speak Rajasthani , Dhundhari , Marwari ,Hindi and english.The city has a lot of graduating schools like St Xaviers College, University of Rajasthan, Indian Institute of Health Management Research, EIIM Edusolutions Institute of Internet Marketing, Malviya National Institute of Technology Jaipur, Jaipur National University, Manipal University, The LNM Institute of Information Technology and IIS University. The city enriches with technology also as it has many reputed institutions in the state. The city provides a friendly environment for all the students and is affordable to live in
You have travel connectivity to apache-spark course educational training institutes in Jaipur. The city has national and state highways connecting the states and BRTS that has a series of bus facility connecting all the places in the city. The railways connects to all the major cities n the country. Jaipur International Airport is in Sanganer connects to all the states and the international airport connects to all the places outside the city.
Apache Spark 2.4 course Content / syllabus in jaipur
Below is the Apache Spark 2.4 course content in jaipur used by the training institutes as part of the Apache Spark 2.4 course training. The Apache Spark 2.4 course syllabus covers basic to advanced level course contents which is used by most of Apache Spark 2.4 training classes in jaipur .
1 SCALA (Object Oriented and Functional Programming)
1.1 Getting started With Scala.
1.2 Scala Background, Scala Vs Java and Basics.
1.3 Interactive Scala – REPL, data types, variables,expressions, simple functions.
1.4 Running the program with Scala Compiler.
1.5 Explore the type lattice and use type inference
1.6 Define Methodsand Pattern Matching.
2 Scala Environment Set up.
2.1 Scala set up on Windows.
2.2 Scala set up on UNIX.
3 Functional Programming.
3.1 What is Functional Programming.
3.2 Differences between OOPS and FPP.
4 Collections (Very Important for Spark)
4.1 Iterating, mapping, filtering and counting
4.2 Regular expressions and matching with them.
4.3 Maps, Sets, group By, Options, flatten, flat Map
4.4 Word count, IO operations,file access, flatMap
5 Object Oriented Programming.
5.1 Classes and Properties.
5.2 Objects, Packaging and Imports.
5.4 Objects, classes, inheritance, Lists with multiple related types, apply
6.1 What is SBT?
6.2 Integration of Scala in Eclipse IDE.
6.3 Integration of SBT with Eclipse.
7 SPARK CORE
7.1 Batch versus real-time data processing
7.2 Introduction to Spark, Spark versus Hadoop
7.3 Architecture of Spark.
7.4 Coding Spark jobs in Scala
7.5 Exploring the Spark shell -> Creating Spark
7.6 RDD Programming
7.7 Operations on RDD.
7.10 Loading Data and Saving Data.
7.11 Key Value Pair RDD.
7.12 Broad cast variables.
8.1 Configuring and running the Spark cluster.
8.2 Exploring to Multi Node Spark Cluster.
8.3 Cluster management
8.4 Submitting Spark jobs and running in the
8.5 Developing Spark applications in Eclipse
8.6 Tuning and Debugging Spark.
9 CASSANDRA (N0SQL DATABASE)
9.1 Learning Cassandra
9.2 Getting started with architecture
9.3 Installing Cassandra.
9.4 Communicating with Cassandra.
9.5 Creating a database.
9.6 Create a table
9.7 Inserting Data
9.8 Modelling Data.
9.9 Creating an Application with Web.
9.10 Updating and Deleting Data.
10 SPARK INTEGRATION WITH NO SQL (CASSANDRA) and AMAZON EC2
10.1 Introduction to Spark and Cassandra
10.2 Spark With Cassandra -> Set up.
10.3 Creating Spark Context to connect the
10.4 Creating Spark RDD on the Cassandra Data
10.5 Performing Transformation and Actions on the
10.6 Running Spark Application in Eclipse to
access the data in the Cassandra.
10.7 Introduction to Amazon Web Services.
10.8 Building 4 Node Spark Multi Node Cluster in
Amazon Web Services.
10.9 Deploying in Production with Mesos and YARN.
11 SPARK STREAMING
11.1 Introduction of Spark Streaming.
11.2 Architecture of Spark Streaming
11.3 Processing Distributed Log Files in Real Time
11.4 Discretized streams RDD.
11.5 Applying Transformations and Actions on
11.6 Integration with Flume and Kafka.
11.7 Integration with Cassandra
11.9 Monitoring streaming jobs.
12 SPARK SQL
12.1 Introduction to Apache Spark SQL
12.2 The SQL context
12.3 Importing and saving data
12.4 Processing the Text files,JSON and Parquet
12.6 user-defined functions
12.7 Using Hive
12.8 Local Hive Metastore server
13 SPARK MLIB.
13.1 Introduction to Machine Learning
13.2 Types of Machine Learning.
13.3 Introduction to Apache Spark MLLib
13.4 Machine Learning Data Types and working with
13.5 Regression and Classification Algorithms.
13.6 Decision Trees in depth.
13.7 Classification with SVM, Naive Bayes
13.8 Clustering with K-Means
13.9 Building the Spark server