Bigdata Master Program Training in Coimbatore
Are you looking for the Best Bigdata Master Program in Coimbatore? Then Qtree Technologies in Coimbatore will be best place to choose for. We provide best BigData training in Coimbatore assisting to develop hands-on skills and knowledge to master the concepts of Big Data and Hadoop. Learn by expertise and build your career excitingly and innovatively with Qtree.
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About Big Data Master Program Training in Coimbatore
What Will I Learn?
- Hadoop development skills, Data analytics skills, and administration
- The fundamentals of Hadoop such as HDFS, Apache spark and Oozie, and Hive, etc.
- Handling and analysis of data sets and sensors related to twitter, youtube, etc
- Learn what is Sqoop, Pig, and flume installations
- The basics and fundamentals of Unix
- The essentials of Java and real-time data warehousing
- Integrate the reporting tools of Big Data and Hadoop.
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Our Course Details
Big Data Hadoop and Spark Developer
Certification Training | Course
Lesson 1: Introduction to Bigdata and Hadoop Ecosystem
In this lesson you will learn about
traditional systems, problems associated with traditional large scale systems,
what is Hadoop and its ecosystem. Topics covered are:
- Introduction
- Overview to Big Data and Hadoop
- Pop Quiz
- Hadoop Ecosystem
- Quiz
- Key Takeaways
Lesson 2: HDFS and Hadoop Architecture
In this lesson you will learn about distributed processing on cluster, HDFS architecture, how to use HDFS, YARN as a resource manager, yarn architecture and how to work with YARN. Topics covered are:
- Introduction
- HDFS Architecture and Components
- Pop Quiz
- Block Replication Architecture
- YARN Introduction
- Quiz
- Key Takeaways
- Hands- on Exercise
Lesson 3: MapReduce and Sqoop
In this lesson you will learn about Mapreduce and its characteristics, advanced MapReduce concepts, overview of Sqoop, basic import and exports in Sqoop, improving Sqoop’s performance, limitations of Sqoop and Sqoop2. Topics covered are:
- Introduction
- Why Mapreduce
- Small Data and Big Data
- Pop Quiz
- Data Types in Hadoop
- Joins in MapReduce
- What is Sqoop
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 4: Basics of Impala and Hive
In this lesson you will be introduced to Hive and Impala, why to use Hive and Impala, differences between Hive and Impala, how Hive and Impala works and
comparison of Hive to traditional databases. Topics covered are:
- Introduction
- Pop Quiz
- Interacting with Hive and Impala
- Quiz
- Key Takeaways
Lesson 5: Working with Hive and Impala
In this lesson you will learn about metastore, how to create databases and table in Hive and Impala, loading data into tables of Hive and Impala, HCatalog
and how impala works on cluster. Topics covered are:
- Working with Hive and Impala
- Pop Quiz
- Data Types in Hive
- Validation of Data
- What is Hcatalog and Its Uses
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 6: Type of Data Formats
In this lesson you will learn about different types of file formats which are available, Hadoop tool support for file format, avro schemas, using avro with Hive and Swoop and Avro schema evolution. Topics covered are:
- Introduction
- Types of File Format
- Pop Quiz
- Data Serialization
- Importing MySql and Creating hivetb
- Parquet WithSqoop
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 7: Advanced HIVE concept and Data File Partitioning
In this lesson you will learn about partitioning in Hive and Impala, partitioning in Impala and Hive, when to use partition, bucketing in Hive and more advanced concepts in Hive. Topics covered are:
- Introduction
- Pop Quiz
- Overview of the Hive Query Language
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 8: Apache Flume and HBase
In this lesson you will learn about apache flume, flume architecture, flume sources, flume sinks, flume sinks, flume channels, flume configurations,
introduction to HBase, HBase architecture, data storage in HBase, HBase vs RDBMS. Topics covered are:
- Introduction
- Pop Quiz
- Introduction to HBase
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 9: Apache Pig
In this lesson you will learn about pig, components of Pig, Pig vs SQL and we will learn how to work with Pig. Topics covered are:
- Introduction
- Pop Quiz
- Getting Datasets for Pig Development
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 10: Basics of Apache Spark
In this lesson you will learn about apache spark, how to use spark shell, RDDs, functional programing in Spark. Topics covered are:
- Introduction
- Architecture, Execution, and Related Concepts
- Pop Quiz
- RDD Operations
- Functional Programming in Spark
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 11: RDDs in Spark
In this lesson you will learn RDD in detail and all operation associated with it, key value Pair RDD and few more other pair RDD operations. Topics covered
are:
- Introduction
- RDD Data Types and RDD Creation
- Pop Quiz
- Operations in RDDs
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 12: Implementation of Spark Applications
In this lesson you will learn about spark applications vs spark shell, how to create a sparkcontext, building a spark application, how spark run on YARN in
client and cluster mode, dynamic resource allocation and configuring spark properties. Topics covered are:
- Introduction
- Running Spark on YARN
- Pop Quiz
- Running a Spark Application
- Dynamic Resource Allocation
- Configuring Your Spark Application
- Quiz
- Key Takeaways
Lesson 13: Spark Parallel Processing
In this lesson you will learn about how spark run on cluster, RDD partitions, how to create partitioning on File based RDD, HDFS and data locality, parallel
operations on spark, spark and stages and how to control the level of parallelism. Topics covered are:
- Introduction
- Pop Quiz
- Parallel Operations on Partitions
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 14: Spark RDD Optimization Techniques
In this lesson you will learn about RDD lineage, overview on caching, distributed persistence, storage levels of RDD persistence, how to choose the correct RDD persistence storage level and RDD fault tolerance. Topics covered are:
- Introduction
- Pop Quiz
- RDD Persistence
- Quiz
- Key Takeaways
- Hands-on Exercise
Lesson 15: Spark Algorithm
In this lesson you will learn common spark use cases, interactive algorithms in spark, graph processing and analysis, machine learning and k-means algorithm. Topics covered are:
- Introduction
- Spark: An Iterative Algorithm
- Introduction To Graph Parallel System
- Pop Quiz
- Introduction To Machine Learning
- Introduction To Three C's
- Quiz
- 15.8 Key Takeaways
Lesson 16: Spark SQL
In this lesson you will learn about Spark SQL and SQL Context, creating dataframes, transforming and querying dataframes and comparing spark SQL with
Impala. Topics covered are:
- Introduction
- Pop Quiz
- Interoperating with RDDs
- Quiz
- 16.5 Key Takeaways
- Hands-on Exercise
Big data refers to enormous and complex datasets that can't be successfully made due, handled, or examined utilizing conventional information handling strategies. It envelops huge measures of organized and unstructured information created from different sources, including deals, online entertainment connections, sensor information, interactive media content, and that's just the beginning.
- 100 % Job Placement and Certification: You get a rated certificate by joining the best DevOps training in Coimbatore, at Qtree. Get help in making a professionally addressed CV & Supervision for interview preparation and questions along with 100% job assistance facilities.
- Trainers: Our in-house specialist Teaching Assistants with years of experience in the relevant field are there to resolve all your queries. Projects are developed by industry experts giving you the knowledge of solving real-life problems in the corporate world
- Student-free benefits: Choose from a number of batches as per your ease If you got something important to do, reschedule your lot for a later time because we will available during the weekdays as well as weekends too.
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IndhujaQtree technologies, it's indeed a gr8 platform to learn Big Data Hadoop for fresher's n working professionals as well..The trainer have been the best with excellent subject knowledge and gr8 real time experience..his interaction amongst learner's made the session even more effective ...he focused more on practical sessions which really helped us a lot.. quality of learning is gr8 with good placement assistance.Highly recommended.
Aravinth SVI have complete my hadoop course in Qtree technologies. My trainer is one of the best one.. His is good knowledge person and easy to explain.
Ramesh SVI did Hadoop training in Coimbatore at Qtree technologies. I am fully satisfied. thanks to Qtree technologies and thank you to my trainer
SurendarFor a Hadoop training,. Their way of responded is really good. Here I am attending the demo classes, it's really good. Course duration was two months with weekend class. They quoted the course fee was very low. Prompt response from them.
Monica"To my knowledge this is the best institute, I ever had for learning the technologies in a very in-depth. The way of delivering the contents by the trainers is par excellence. Trainer sir, is the best trainer I have ever seen for learning the things in a very easy and striking way. I would love to describe how good the placement and other supporting members of this institute have been to me."
Baskar RajaHadoop trainer is extremely helpful and has vast real-time knowledge. It was a great experience. He provides interesting assignments and shares real time scenarios. Thanks Qtree team for your support.
Shylu VishnuI have joined "Qtree Technologies" which is located at coimbatore". I want to do Hadoop Spark course and I have attended one and half month class so far. which is weekdays class and the timing is from 7 AM to 9 AM which is comfortable for me. The class is going so well and the faculty members are well educated and clarifying the doubts with a polite tone. The fee structure for this course very low , which is a reasonable price for me. Overall, I am happy about this institute.
Benifits of big data master program training
In-depth Knowledge and Skills, Industry-Relevant Curriculum, Practical Experience, Career Opportunities, Networking Opportunities, Research and Innovation, Competitive Edge
Palcements of big data master program training
Technology Companies, Financial Services, Healthcare Industry, E-commerce and Retail, Consulting Firms, Government and Public Sector, Research and Academia
FAQ about big data master program
A major information expert's program is a particular alumni program that spotlights on creating abilities and information in the field of enormous information examination. It commonly covers subjects, for example, information the board, information mining, AI, information representation, and progressed investigation procedures.
The essentials for Big data expert's program might differ relying upon the college or program. In any case, most projects expect candidates to have a four year college education in a connected field like software engineering, measurements, math, or designing. A few projects may likewise require a foundation in programming, measurements, or data set administration.
A Big data program is intended to outfit understudies with an extensive arrangement of abilities required in the field of huge information examination. These can incorporate information the board, information handling and investigation, programming dialects (like Python or R), AI calculations, information perception, and the capacity to separate experiences from enormous and complex datasets.
Graduates of Big Data expert's projects have an extensive variety of profession open doors in different businesses. They can fill in as information researchers, information investigators, huge information engineers, information modelers, business experts, or advisors in organizations that arrangement with a lot of information, for example, innovation firms, monetary foundations, medical care associations, online business organizations, and counseling firms.
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