Best Institutes for Big Data Analytics training in Andhra Pradesh with Course Fees
List of 11+ Big Data Analytics training institutes located near to you in Andhra Pradesh as on June 7, 2020. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.
Big Data Analytics Training Institutes in Andhra Pradesh - by Location
Yet5.com Provides complete list of best Big Data Analytics training institutes in Andhra Pradesh and training centers with contact address, phone number, training reviews, course fees, job placement, course content, special offers and trainer profile information by area.
Learning Big Data Analytics course in Andhra Pradesh - Benefits, Advantages & Placements.
We have identified the benefits of learning big-data-analytics course in Andhra Pradesh.
Big Data Analytics training in Andhra Pradesh is part of Bigdata training course class, Big Data is a term used for Data Sets, data processing, and application software.Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data.characteristics of big data are Volume, Velocity, Variety, Machine Learning, Digital Footprint. This gives Introduce to the Storage, Map Reduce, and Query Stack. business benefit from Big Data Establishing the business importance of Big Data, Addressing the challenge of extracting useful data, Integrating Big Data with traditional data.
This course has a revised syllabus which briefly explains the concepts of big data and analytics.
The eight largest state of the country. The city is rich in culture and tradition. The state contributes relatively more to the india GDP. The place is so serene that it’s the 3rd most visited place in India by tourist. The state focuses on education and economic development. In the aspects of education many students reside in the state for education as it has many reputed institutions like All India Institute of Medical Sciences, IIM Visakhapatnam, IIT Tirupati, National Institute of Technology Andhra Pradesh and IIITDM Kurnool, Indian Institute of Petroleum and Energy, National Institute of Oceanography, Visakhapatnam (NIO). The state is the home for the famous Indian Space Research Organisation (ISRO) in Nellore district. Many IT and MNCs and core industries have set foot in the state and hence there is a large opportunities in job employment.
You have travel connectivity to big-data-analytics course educational training institutes in Andhra Pradesh. The APSRTC connects to all the cities and states. The state has national and state highway that connects to other places via roadways. The state has Vishakhapatnam airport operating international flights and the state has 4 domestic airports in Rajhmundry, Renigunta, Cuddapah Airport and a privately owned, public use airport at Puttaparthi. The taxies , auto rickshaws connects to the local areas in the city.
Big Data Analytics course Content / syllabus in andhra-pradesh
Below is the Big Data Analytics course content in andhra-pradesh used by the training institutes as part of the Big Data Analytics course training. The Big Data Analytics course syllabus covers basic to advanced level course contents which is used by most of Big Data Analytics training classes in andhra-pradesh .
1.Overview of Big Data
This includes topics such as history of big data, its elements, career related knowledge, advantages, disadvantages and similar topics.
2. Using Big Data in Businesses
This module should focus on the application perspective of Big Data covering topics such as using big data in marketing, analytics, retail, hospitality, consumer good, defense etc.
3. Technologies for Handling Big Data
Big Data is primarily characterized by Hadoop. This module cover topics such as Introduction to Hadoop, functioning of Hadoop, Cloud computing (features, advantages, applications) etc
4. Understanding Hadoop Ecosystem
This includes learning about Hadoop and its ecosystem which includes HDFS, MapReduce, YARN, HBase, Hive, Pig, Sqoop, Zookeeper, Flume, Oozie etc.
5. Dig Deep to understand the fundamental of MapReduce and HBase
This module should cover the entire framework of MapReduce and uses of mapreduce.
6. Understanding Big Data Technology Foundations
This module covers the big data stack i.e. data source layer, ingestion layer, source layer, security layer, visualization layer, visualization approaches etc.
7. Databases and Data Warehouses
This module should cover all about databases, polygot persistence and their related introductory knowledge
8. Using Hadoop to store data
This includes an entire module of HDFS, HBase and their respective ways to store and manage data along with their commands.
9. Learn to Process Data using Map Reduce
This emphasizes on developing simple mapreduce framework and the concepts applied to it.
10. Testing and Debugging Map Reduce Applications
After the applications are developed, the next step is to test and debug it. This modules imparts this knowledge.
11. Learn Hadoop YARN Architechture
This module covers the background of YARN, advantages of YARN, working with YARN, backward compatibility with YARN, YARN Commands, log management etc.
12. Exploring Hive
This modules introduces you with all the necessary knowledge of Hive.
13. Exploring Pig
This modules introduces you with all the necessary knowledge of PIG.
14. Exploring Oozie
This modules introduces you with all the necessary knowledge of Oozie.
15. Learn NoSQL Data Management
This modules covers all about NoSQL including document databases, relationships, graph databases, schema less databases, CAP Theorem etc.
16. Integrating R and Hadoop and Understanding Hive in Detail
This module introduces you to RHadoop, ways to do text mining and related knowledge.
In this article, I’ve covered the complete syllabus of Big Data Technologies. This syllabus should give you a comprehensive overview of the topics that you should cover in your upcoming big data training. If you realize, that your training doesn’t have any of the mentioned module in the syllabus, I’d recommend you to get in touch with the course administrator and get this thing sorted.