DISTANCE MBA ADMISSION HELP
With the constant advent of new technological advancement and digitization, the amount of data production had increased drastically. Just few years ago, the amount of data which we were producing in a year is now produced in a mere second and its still growing with an enormous speed.
Most of the produced data has been neglected earlier, but if this produced data is processed meaningfully It can completely reshape the way we do our businesses. With the advanced software technology made exclusively for big data analysis gives companies a chance to use all available information in a synchronized way for improving their decision making, work performance and to enhance their business relations.
The growing data processing has also calls the need of a different breed of professionals and which in turns calls the need for specially designed courses like big data analytics courses and Hadoop in order to trained them. Through this article let us know the importance of Big Data Analytics and Hadoop in this tech savvy world.
Big Data and what comes under it?
Large dataset collections which cannot be processed by any old traditional computing techniques is come under Big Data, Its a complete subject in itself consists of various technologies, frame works and tools. It involved in processing of data via various available applications and devices. Under big data, data is divided into three types namely:
- Unstructured data: For example data via Word, PDF, Text, Media Logs
- Semi Structured data: For example XML data
- Structured data: Which consists of relational data
Various IT giants like Microsoft, IBM, Amazon etc are now providing various technologies to handle big data. Below we are examining 2 types of technology viz. Operational Big data and Analytical Big data. These two technologies are frequently developed together and are complementary to each other.
Operational Big Data:
Under Operational Big Data, operational features provided to run interactive, real time workloads that assimilate and save data. For operational Big Data applications, top technologies are MongoDB with over 10 million downloads as it works well with Hadoop. Systems like NoSQL are created to benefit from the now available cloud computing architectures to run efficiently and inexpensively massive computations which makes the workload easy to manage, fast to implement and much cheaper.
Analytical Big Data
For sophisticated, retrospective data analytics, Analytical Big Data technologies are useful. Most popular amongst them is Hadoop. For complex retrospective analysis, technologies like MapReduce and MPP (Massively Parallel Processing) are used to provide advance analytical capabilities. Complementary to the SQL, MapReduce has a new analyzing data method due to which system based on it can be further scaled from a single server to thousands of low & high end machines.
Analytical vs. Operational
| Particulars | Analytical | Operational |
| Technology | MPP Database, MapReduce | NoSQL |
| Latency | 1 minute to 100 minute | 1 ms to 100 ms |
| Concurrency | 1 to 10 | 1000 to 1,00,000 |
| Access Pattern | Reads | Writes & Reads |
| Data Scope | Retrospective | Operational |
| Queries | Unselective | Selective |
| End User | Data Scientist | Customer |
Big data is now been used in various fields, some of them are mentioned below:
- Social Media
- Search Engines
- Stock Exchanges
- Banking and Finance
- Transportation
- Power Grid
Introduction to Big Data Analytics and Hadoop Courses
Big data analytics and Hadoop course involves a diverse array of Big Data Hadoop tools and Spark modules which has been curated by experts of this field, as per the latest industrial requirements. A combination of certified courses have been provided in Hadoop administrator, Hadoop developer, Hadoop testing & analytics with Apache Spark. Which are amongst the pioneered framework for processing the large enterprise data sets.
This enables the student to have a better understanding and judgmental skills of different management areas with the application of Big Data tools and techniques to solve business related problems. It revolves around the relation between the components of Hadoop ecosystem like Apache Spark, H Base, pig, MapReduce, Hadoop 2.7, Flume, Impala, HDFS, and Yarn etc. with the big data processing system. This course helps you in dealing with the real time projects and assignments in different sectors like e-commerce, banking insurance and telecommunication.
Big data analytics and Hadoop course is essential for individuals who are:
- Who are looking to work as a Programming Developers and System Administrators
- Project Managers & experienced working professionals.
- Developers who want to gain hand on experience on various verticals like testing, analytics & admin.
- Individuals who are looking forward to build their career as Mainframe Professionals, Architects and Testing Professionals
- Students who are interested to work as Business Intelligence Developers, Data Warehousing Professionals and Analytics Professionals.
How BIG DATA ANALYSIS AND HADOOP Courses can help you?
Big data analysis and Hadoop offers you the reach to allied market research. These days there is huge demand for skilled big data professional, who are well equipped with big data analysis and can help you in improving business and decision making. The top companies like Microsoft, Amazon, IBM are looking such professionals due to their heavy demand in the market.
This course offers you the opportunity to deal with large volumes of data for doing data analytics at a pro level where you can access the must-know technology in Big Data architecture. Here you can learn the most demanding professional skills based on Big Data Hadoop. It offers a blend of multiple skills which is best suited for IT, data management, and analytics professionals who are looking forward to gain expertise in Big Data, Software Development, Architects Analytics Professionals, Senior IT professionals, testing, Data Management Professionals, Business Intelligence Professionals, Project Managers, in Big Data Analytics.
Basic curriculum of Big Data Analytics and Hadoop course
- Big Data & Big Data Challenges brief introduction.
- Hadoop administration activities and its features.
- Getting practical experience on various applications like Spark, Data Frame, Spark SQL, Streaming, GraphX, RDD & MLlib writing Spark applications.
- Practical execution of ETL tools configuration like Talend/ Pentaho to work with Hive, MapReduce, Pig etc.
- Handling real life projects on Big data and Hadoop with Avro data formats
Course Duration and Eligibility criteria for Big Data Analytics and Hadoop Courses
Course Duration:
The duration of this course is for 1 year and a maximum for 2 years.
Eligibility Criteria:
For Indian Students:-
The candidate must be a graduate from a well recognised university, in any field of science i.e Pharm/M.Pharm/M.Sc/Ph.D./BE/B.Tech (Computers/Electronics/IT) MCA or any other diploma holder.
He/ She should be securing minimum 55%-60% marks in graduation.
For International Students:-
The candidate must have completed formal 10+2 years of schooling and graduation from a recognized university.
Big Data Analytics and Hadoop Courses Fees Structure
The average course fee ranges from INR 70,000 – INR 16, 00,000 depending upon the type of colleges offering this course. Whereas, for certified diploma course, the fee varies from INR 45,000 to INR 1,00,000.
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