4V ( Volume, Velocity, Variety and Veracity) characteristics
Structured and Unstructured Data
Application and use cases of Big Data
Limitations of traditional large Scale systems
How a distributed way of computing is superior (cost and scale)
Opportunities and challenges with Big Data
Introduction to Linux and Big Data Virtual Machine (VM)
Introduction to Linux - Why Linux? -
Windows and the Linux equivalents
Different flavors of Linux
Unity Shell (Ubuntu UI)
Commands (enough to get started with Hadoop)
Intodcution to AWS
Using EC2 (Elastic Compute Cloud)
Introduction to Hadoop
HDFS – Hadoop Distributed file system
Components of HDFS
HDFS high availability
Role of zoo keeper
Replica pipeline and network distance algorithm
HDFS Read and Write
Installing Hadoop in Windows/Mac using Cloudera Quickstart VM
Introduction to Map Reduce Framework
Mapper and Reducer APIs
First Map Reduce program – Word Count
Map Reduce examples – Inverted Index and Titanic Data Analysis
Modes of execution
Job execution in MRV1 VS YARN
Serialization and Deserialization
Programming concepts of Scala
Introduction to Spark
Why Spark ?
Applications of Spark
Introduction to RDD
Installation and Configuration of Spark
Transformations and Actions
Different interfaces to Spark
Data frames and Datasets
Querying massive data using SparkSql
Sample Python programs in Spark
Data Visualization using Apache Zeppelin
Capabilities of Kafka
Core APIS of Kafka
Topics and Logs
Kafka as a Messaging System
Kafka as a Storage System
Kafka for Stream Processing
Introduction to Hive
RDBMS VS Hive
Hive DDL : Managed Table VS External Table
Issues with delimiters
Partitioning – Static and Dynamic
Dealing JSON data – using JSON SerDe
File Formats – Avro, Parquet, ORC
What is a No SQL Database ?
Why Hbase ?
Introduction to Hbase
Hbase high level architecture
Indepth architectural view of Hbase
Java APIs for Hbase operations
Bulk Load using Table Mapper and Table Reducer API
Bulk Load using import TSV tool from a file
Introduction to Sqoop
Sqoop import and Export with Examples
Flume – Spooling Directory
Introduction to Oozie
Oozie Action Tags
Cloudera Hadoop cluster on the Amazon Using EMR (Elastic Map Reduce)
Using EC2 (Elastic Compute Cloud)
Importing/ exporting data across RDBMS and HDFS using Sqoop
Getting real- time events into HDFS using Flume
Creating workflows in Oozie
Introduction to Graph processing
Graph processing with Neo4J
Processing data in real time using Storm
Interactive Adhoc querying with Impala
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See how netflix uses Big Data to improve its recommendation system. how they leverage Big Data to provide personalized recommendations to its users.
Check out the modern way of learning of how Big Data is transforming the education system. Get an in-depth understanding of the diverse role of Big Data.
Our Big Data training has precisely been developed to reach out to the demand of the learners by keeping in mind the industry standards.
This Big Data course will particularly be helpful for the career advancement of the following audience -
Graduates from the College.
Currently working employees looking to upskill themselves.
Candidates looking for a change in the IT Field.
As such, there are no specific prerequisites for Big Data institutes in Hyderabad. If you are familiar with programming and foundation skills with a sense of curiosity and willingness to learn you are all set for the Big Data training.
Big Data Training Classes are conducted over the Weekdays and Weekends through classroom and online sessions. Please get in touch with the Digital Lync team to get the exact schedule and timings.
Our Big Data faculty has over 12 years of experience.
Big Data Course duration is 50 hours.
Weekday Big Data Training classes will be one hour long and Weekend classes will be three hours long.
Please find the detailed Big Data course curriculum in the Digital Lync Big Data training curriculum section.
Yes, we will assist our students with all the interview preparation techniques
Big Data training is excellent here. I specifically suggest for working professionals who are looking for advanced knowledge in Big Data course.
I have done my Big Data course here, the work environment is very good. Especially during training great tasks were taught. Everything explained cleared. Finally, I like to comment that "Digital Lync" is the right choice for those who wants to learn the Big Data course.
Here training seekers will be given the opportunity what exactly wanna be done.
Best Big DataTraining in Hyderabad with hand on Labs and great exposure to all the other Technologies. The best platform to learn the Big Data course.
I took Big Data training in Hyderabad. Digital Lync is the best institute if you want to make yourself better. The best part is, the classes won't be like someone standing there and giving lectures, there is a lot of interaction between the trainers and the students.
After Taking Big DataTraining in Hyderabad, I got placed in as a Big DataEngineer. Digital Lync has helped me a lot to unleash my potential.
It has been a very good school of learning, the trainer explains every individual concept (Theory/Practical) in-depth when I joined for Big Data training at the Gachibowli branch Hyderabad. It has an extraordinary infrastructure with un-interrupted broadband. Your doubts can be clarified with live projects. Altogether it was an awesome experience learning in Digital Lync.
The best place to learn the Big Data course in Hyderabad, the trainer is well knowledged and trains in depth. Practice sessions helped me a lot and the infrastructure is superb compared to other places. I have cracked my certification exam in the Big Data training course with the help of the training here.
I have finished my Big Data training in Hyderabad from Digital Lync. I got the job right after the training. I'm very happy. You should definitely check out Digital Lync to elevate your career prospects.
2nd floor, Khajaguda Main Road next to Andhra Bank, Khajaguda - Nanakramguda Rd, near DPS, Gachibowli, Hyderabad, Telangana 500008
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