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Best Institutes for Apache Spark 2.4 training in TamilNadu with Course Fees

List of 11+ Apache Spark 2.4 training institutes located near to you in TamilNadu as on October 22, 2019. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.

 

 

training institutes penta software
TamilNadu - Tiruchengode
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training institutes EG Technologies Project Centre
TamilNadu - Dharmapuri
training institute
EG Technologies Project Centre at Dharmapuri - center entrance	 photo_16681 EG Technologies Project Centre at Dharmapuri - center entrance	 photo_16680 
Address: No:26F, Second Floor, Opp Town EB Office Narasimmachari Street Dharmapuri TamilNadu-636701

EG Technologies offers IEEE 2015 and 2016 Final Year Projects for ECE, EEE, CSE and IT Students in EMBEDDED SYSTEM VLSI POWER ELCTRONICS,JAVA/J2EE DOTNET NS2, ANDROID APPS,MATLAB and APP PROJECTS.
 
training institutes Training Trains
TamilNadu - Erode
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training institutes Training Trains
TamilNadu - Dindigul
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training institutes Technocentre-Kalvi Institute P Limited
TamilNadu - Mayiladuthurai
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training institutes Reach Consultant Service
TamilNadu - Dharmapuri
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Reach Consultant Service at Dharmapuri - training room	 photo_17605 Reach Consultant Service at Dharmapuri - training room	 photo_17602 

 
training institutes ASCENSION PIONEERING SOLUTIONS
TamilNadu - Cuddalore
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Address: 2nd FLOOR, ARB COMPLEX, SEMMANDALAM CUDDALORE TamilNadu-607001

 
training institutes Learnage Academy
TamilNadu - Vellore
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training institutes Nurture IT Training
TamilNadu - Erode
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Nurture IT Training at Erode - 	computer center photo_13754 

 
training institutes Ensemble Nexgen
TamilNadu - Erode
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Address: 116,Penna towers VOCpark road,Erode TamilNadu-638003

 
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Apache Spark 2.4 Training Institutes in TamilNadu - by Location

Yet5.com Provides complete list of best Apache Spark 2.4 training institutes in TamilNadu 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 TamilNadu - Benefits, Advantages & Placements.

We have identified the benefits of learning apache-spark course in TamilNadu.
Apache Spark 2.4 training in TamilNadu is part of Hadoop training course class,
Tamil Nadu or the “Land of Tamils” is located in the southern most part with Chennai as its capital city. It is predominant that Tamil Nadu is one of the most literate states in India and students and people from all parts of India have come and settled in Tamil Nadu for education and employment. Tamil Nadu has 37 universities, 552 engineering colleges, 449 Polytechnic Colleges and 566 arts and science colleges, 34335 elementary schools, 5167 high schools, 5054 higher secondary schools and 5000 hospitals. Some prestigious institutes and universities located in Tamil Nadu include IIT Madras, IIM Trichy, Indian Maritime University, Dr. Ambedkar Law University, Madras Medical College, Loyola College Chennai, Ethiraj College for Women, Stella Maris College, Anna University, Government College of Technology Coimbatore, Tamil Nadu Agricultural University and so on. Tamil Nadu houses countless number of IT companies including CTS, Infosys, Wipro, Tech Mahindra, Capgemini, Verizon, Soliton, Mphasis, Accenture, Zoho and many more inclusive of countless number of Start-ups in majority of its cities. Tamil Nadu offers employment and enhances people’s career in all streams.
You have travel connectivity to apache-spark course educational training institutes in TamilNadu. Tamil Nadu has four international airports such as Chennai International Airport, Coimbatore International Airport, Tiruchirapalli International Airport and Madurai International Airport. In Tamil Nadu, Salem Airport and Tuticorin Airport are domestic airports. Tamil Nadu serves excellent waterways and has three major seaports located at Chennai, Ennore and Tuticorin, as well as seven other minor ports including Cuddalore and Nagapattinam. Road transport in Tamil Nadu is provided by Tamil Nadu State Transport Corporation and State Express Transport Corporation. Every part of Tamil Nadu is well connected by buses that ply 24 hours a day. Autos, Taxis, Cabs are quite feasible for commuting in the streets of Tamil Nadu. Tamil Nadu has a good rail network which is a part of Southern Railway that commutes within intercity, intracity, and intra state, covering almost all states of India.

 

 

 

Apache Spark 2.4 course Content / syllabus in tamilnadu

Below is the Apache Spark 2.4 course content in tamilnadu 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 tamilnadu .

 

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.
5.3 Traits.
5.4 Objects, classes, inheritance, Lists with multiple related types, apply

6 Integrations
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
Context.
7.6 RDD Programming
7.7 Operations on RDD.
7.8 Transformations
7.9 Actions
7.10 Loading Data and Saving Data.
7.11 Key Value Pair RDD.
7.12 Broad cast variables.

8 Persistence.
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
cluster mode.
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
Connectors.
10.2 Spark With Cassandra -> Set up.
10.3 Creating Spark Context to connect the
Cassandra.
10.4 Creating Spark RDD on the Cassandra Data
base.
10.5 Performing Transformation and Actions on the
Cassandra RDD.
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
Streaming Data
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
Files
12.5 DataFrames
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
Algorithms.
13.4 Machine Learning Data Types and working with
MLLib.
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

 

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