A1 Trainings is one of the best Scala Apache Online Training Institute in Hyderabad india. Join our Scala Apache online Training Classes and Get trained By Real time experienced Industry professionals. Practical sessions will also be provided for hands on experience. We provide training courses ideal for students ,software and administration professionals. Our training sessions covers all information from basic to advanced level
SCALA (Object Oriented and Functional Programming)
Getting started With Scala.
Scala Background, Scala Vs Java and Basics.
Interactive Scala – REPL, data types, variables,expressions, simple functions.
Running the program with Scala Compiler.
Explore the type lattice and use type inference
Define Methodsand Pattern Matching.
Scala Environment Set up.
Scala set up on Windows.
Scala set up on UNIX.
What is Functional Programming.
Differences between OOPS and FPP.
Collections (Very Important for Spark)
Iterating, mapping, filtering and counting
Regular expressions and matching with them.
Maps, Sets, group By, Options, flatten, flat Map
Word count, IO operations,file access, flatMap
Object Oriented Programming.
Classes and Properties.
Objects, Packaging and Imports.
Objects, classes, inheritance, Lists with multiple related types, apply
What is SBT?
Integration of Scala in Eclipse IDE.
Integration of SBT with Eclipse.
Batch versus real-time data processing
Introduction to Spark, Spark versus Hadoop
Architecture of Spark.
Coding Spark jobs in Scala
Exploring the Spark shell -> Creating Spark Context.
Operations on RDD.
Loading Data and Saving Data.
Key Value Pair RDD.
Broad cast variables.
Configuring and running the Spark cluster.
Exploring to Multi Node Spark Cluster.
Submitting Spark jobs and running in the cluster mode.
Developing Spark applications in Eclipse
Tuning and Debugging Spark.
CASSANDRA (N0SQL DATABASE)
Getting started with architecture
Communicating with Cassandra.
Creating a database.
Create a table
Creating an Application with Web.
Updating and Deleting Data.
SPARK INTEGRATION WITH NO SQL (CASSANDRA) and AMAZON EC2
Introduction to Spark and Cassandra Connectors.
Spark With Cassandra -> Set up.
Creating Spark Context to connect the Cassandra.
Creating Spark RDD on the Cassandra Data base.
Performing Transformation and Actions on the Cassandra RDD.
Running Spark Application in Eclipse to access the data in the Cassandra.
Introduction to Amazon Web Services.
Building 4 Node Spark Multi Node Cluster in Amazon Web Services.
Deploying in Production with Mesos and YARN.
Introduction of Spark Streaming.
Architecture of Spark Streaming
Processing Distributed Log Files in Real Time
Discretized streams RDD.
Applying Transformations and Actions on Streaming Data
Integration with Flume and Kafka.
Integration with Cassandra
Monitoring streaming jobs.
Introduction to Apache Spark SQL
The SQL context
Importing and saving data
Processing the Text files,JSON and Parquet Files
Local Hive Metastore server
Introduction to Machine Learning
Types of Machine Learning.
Introduction to Apache Spark MLLib Algorithms.
Machine Learning Data Types and working with MLLib.
Regression and Classification Algorithms.
Decision Trees in depth.
Classification with SVM, Naive Bayes
Clustering with K-Means
Building the Spark server
* Very in depth course material with real time scenarios.
* We are providing class with highly qualified trainer.
* We will provide class and demo session at student flexible timings.
* In training case studies and real time scenarios covered.
* We will give 24*7 technical supports.
* Each topic coverage with real time solutions.
* We are providing normal track,weekend,fast track classes.
* We will give every recorded session for play later.
* We are giving placement support by multiple consultancies in INDIA, USA, Australia, UK etc.
* We are providing certification oriented trainings with 100% pass guarantee.
* We will give full support while attending the interviews and contact me any time after completion of the course.
Course Name : Scala Apache Training 24*7 Technical Support
Duration : 35 hours
Faculty : Realtime experience