Big Data Master Program training in Marathahalli

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Big Data Master Program

Enrolling in Learn More Technologies in Bangalore will be one of the good career choices for Big Data Master Program engineer aspirants to learn more about Big Data Master Program tools and services. Big Data Master Program training in Marathahalli, This training will instill students with sound facts of all the tools that will help them to switch and work with services proficiently. The training program includes wide hands-on practices for students to comprehensively improve their technical information so they finally achieve expertise in both theories as well as technical concepts. Big Data Master Program training in Marathahalli.

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Why to choose us?

We provide the leading training with the industry experts real-time trainers in their relevant domain of experience, we are responsible for this from a past 5 years, a group of teams to full fill your training needs, flexible timings, we are promised to do 100% placement support for you to get a career.

A “Big Data Master’s Program” typically refers to a graduate-level educational program designed to provide in-depth knowledge and skills in the field of big data and data science. These programs are intended for individuals who want to develop expertise in handling, analyzing, and deriving insights from large and complex datasets. Big data is a rapidly growing field, and professionals with advanced skills in this area are in high demand across various industries. Learn More Technologies

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Core Courses

These programs usually start with core courses that cover the fundamentals of big data, including topics like Linux Fundamental ,data analysis, data mining, Programming languages, and data visualization.

Big Data Technologies

Students are often introduced to a range of big data technologies and tools, including Hadoop, Spark, NoSQL databases, and data processing frameworks.

Cloud Technologies

Cloud Technologies are crucial aspects of big data analysis. Students may learn how to apply cloud technologies to perform ETL operation on cloud

Data Warehousing and Database Management

Understanding how to design and manage data warehouses and databases is essential for effective big data management.

Data Visualization

Data visualization helps in presenting findings effectively. Students may learn tools and techniques for creating compelling data visualizations.

Advanced Analytics

Advanced analytics topics, such as predictive analytics and prescriptive analytics, may be covered to help students make data-driven decisions.

Ethics and Privacy

As big data often involves sensitive information, ethical considerations and data privacy issues are usually discussed.

Electives

Students are often introduced to a range of big data technologies and tools, including Hadoop, Spark, NoSQL databases, and data processing frameworks.

Internship Opportunities

Some programs offer internships or cooperative work experiences to provide practical, hands-on experience in the field.

Thesis Option

In some programs, students have the option to complete a thesis as a substantial research project.

Industry Connections

Good programs often have connections with industry partners, providing students with networking opportunities and exposure to real-world big data challenges.

Get Industry Recognized

Certifications & Jobs in Top MNC’s

Our certifications will help you get sited easily in top companies such as IBM, HCL, Cognizant, CTS, Dell, TCS, Accenture, etc. Since our certifications are standard globally, you will get the job with the right salary package soon after completing the course Big Data Master Program training in Marathahalli. Following are the payback you’ll from our certification.

It is a bronadly accepted certification, especially when it comes to top companies
As a fresher, it will increase your portfolio and resume
It gives them skills to clear an evaluation effectively
Improves your efficiency for problem-solving in interview
It develops your knowledge in completing projects in your current company
Boost the repute of your careers
Build Sound decision-making capability to get successful in jobs
Enhances knowledge and expertise and trains you for further tasks
It is used as digital proof of effectiveness
It enhances an individual’s self and reliability
Improves work prospects, rises in income, portability of jobs.

Big Data Master Program training in Kalyan Nagar

We have another branch in Kalyan Nagar North East Bangalore to do Big Data Master Program Training with other booming courses such as Azure,DevOps, Aws Cloud services, Selenium, Linux, Java And so on, all are our trainers are working experience in a particular field, all the classes having a recorded session with individual score and much more.

Big Data Master Program training in Marathahalli

Yes we do Big Data Master Program Training in Marathahalli training with other booming courses such as, DevOps, Aws Cloud services, Selenium, Linux, Java And so on, all are our trainers are having appropriate experience in such field, all the classes having a recorded session with individual score and much more, per batch 4 – 5 peoples will be there so that the trainer can focus on all the students.

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Job Responsibilities

Work together with other generation to fully explore specialized prerequisites Champion expert choices and execute answers for the main jobs. Work across with creation team to utilization layers Manage with inward groups to get client prerequisites and give specialized arrangements Execute safety and information assurance arrangements Further build up usefulness of existing frameworks Organize user components into applications Implement data protection and security

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Syllabus

Linux Fundamental

Linux Introduction
File Management
Directories
File Permission
Basic Utilities
Pipes & Filters
Processes
Communication
The vi Editor
Shell Scripting
What is Shell?
Using Variables
Special Variables
Using Arrays
Basic Operators
Decision Making
Shell Loops
Loop Control
Shell Substitutions
Quoting Mechanisms
IO Redirections
Shell Functions

SQL Fundamental

Home
Overview
RDBMS Concepts
Databases
Syntax
Data Types
Operators
Expressions
SQL Database
SQL Table
SQL Queries
SQL Views
Advance Query

Hadoop Fundamental

Big Data Overview
Big Data Solutions
Introduction
Environment Setup
HDFS Overview
HDFS Operations
Command Reference
MapReduce
Streaming
Multi-Node Cluster
MapReduce
Introduction
Algorithm
Installation
API
Hadoop Implementation
Partitioner
Combiners
Hadoop Administration

Hive/Impala

Big Data Overview
Big Data Solutions
Introduction
Environment Setup
HDFS Overview
HDFS Operations
Command Reference
MapReduce
Streaming
Multi-Node Cluster
MapReduce
Introduction
Algorithm
Installation
API
Hadoop Implementation
Partitioner
Combiners
Hadoop Administration

Programming Language(Python,Scala,Java)

Introduction
Feature & Characteristics
Advantages
Python Vs Scala Vs Java
Variables
Datatype
Operators
Type Conversion
Conditional Statement
Loops
Comment
function & higher order function
OOPS Feature(object,class,Inheritance,Polymorphism,Encapsulation)
String
Arrays
List
File handling
Exeption Handling
Collection

Spark Fundamental

Spark RDD
Parallelize
Read text file
Read CSV
Create RDD
Actions
Pair Functions
Repartition and Coalesce
Shuffle Partitions
Cache vs Persist
Persistance Storage Levels
Broadcast Variables
Accumulator Variables
Convert RDD to DataFrame
Introduction of DataFrame
createDataFrame()
where() & filter()
withColumn()
withColumnRenamed()
drop()
distinct()
groupBy()
join()
map() vs mapPartitions()
foreach() vs foreachPartition()
pivot()
union()
collect()
cache() & persist()
udf()
Spark SQL StructType & StructField

Kafka Fundamental

Apache Kafka – Basic Operations
Simple Producer Example
Consumer Group Example
Integration With Storm
Integration With Spark
Real Time Application(Twitter)
Apache Kafka – Tools
Apache Kafka – Applications

Cloud Technologies

AWS- AWS Services(EMR,S3 ,SNS,Lambada function,Glue Job,GIT,Database,EC2 Instance)
Microsoft Azure – Azure Services(Blob,Delta table,Databricks,ADF,GIT,Database,Virtual Machine)