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)
HDFS Overview and Architecture
Name Node, Data Node and Checkpoint Node ( aka Secondary Name Node)
HDFS Data Flows ( Read v/s Write)
HDFS High Availability
Rack awareness and Block placement policy
Small files problem
Command Line Interface
Legacy MR v/s Next Generation MapReduce ( aka YARN/ MRv2)
Slots v/s Containers
Hadoop Data Types
Input and Output Formats
Input Splits - Partitioning ( Hash Partitioner v/s Customer Partitioner)
Inverse Document Frequency
Log Data Analysis
Different ways of joining data
Purchases Data Analysis
Introduction and Architecture
Different Modes of executing Pig constructs
Dynamic invokers Pig streaming Macros
Pig Latin language Constructs (LOAD, STORE, DUMP, SPLIT, etc)
User Defined Functions
Introduction and Architecture
Different Modes of executing Hive queries
HiveQL (DDL & DML Operations)
External v/s Managed Tables Views
Partitions & Buckets
Joins, Group by, Order by
User Defined Functions
Review of RDBMS
Need for NoSQL
Brewers CAP Theorem
ACID v/s BASE
Schema on Read vs. Schema on Write
Different levels of consistency
Master and Region Server
Catalog Tables (Root and Meta)
HBase Data Modeling
Loading data in HBase
Data movement from Relational databases to Hadoop
Sqoop Advanced features
Components of Flume
Log Data ingestion to Hadoop
Introduction to RDD
Installation and Configuration of Spark
Different interfaces to Spark
Data frames and Datasets
Querying massive data using SparkSql
Sample Python programs in Spark
Data Visualization using Apache Zeppelin
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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The organizations have developed the capacity to gain greater insight into customer behavior. It is essential to use innovative analytics practices to succeed.
But there’s a big gap between having the data and putting it to work. As big data analytics tools become more affordable and usable, the technology's influence is both growing and expanding into Retail sectors.
Technologies such as HDFS, Map-Reduce, Hive, Pig, Spark, Oozie, Sqoop are tooled to extract and analyze the necessary data.
Many of the e- commerce sites had been making a quite an impact on the overall economy for quite some time in many of the countries.
All the e- commerce portals store the user activities on their site as clickstream activity and later they analyze it to identify what the user has browsed and show the appropriate recommendations when the user visits the site again or to send a personalized email.
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.
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