Big Data Course in Andheri
There is no such thing as the best Course or the worst ones. Sounds strange but this is true! No matter what a training institute claims about its training faculty or infrastructure, you might find that most of the times all the claims were hollow.
Due to the huge demand of Big Data, training institutes offering Big Data Course in Andheri are mushrooming even in dingy lanes across the country. So, you need to check thoroughly over the web about the authenticity of all the claims. What matters is that there should be a good student-teacher ratio, infrastructure, and provision of imparting hands-on training so that the learning outcomes are positive.
Are you looking for big data courses in Andheri? Then this guide is for you. In this article, we’re going to look at the top 10 big data courses in Andheri along with course syllabus, fees, duration, placements & more. But before we get started, let’s understand what data science is and why is it so important.
Importance of Data Science
……………………………….
Professionals who carry out these tasks are called Data Scientists. Now you may be confused between a data scientist and an analyst. A Data Analyst generally can analyze data and give you readings and explanations based on that.
Previously, data that existed were small in size and in a structured format. Thus, it could be processed using traditional systems. But over the years, data started transforming into semi-structured and unstructured formats. To be able to process such large and complex data, data science is the best option. Thus, the demand for data scientists is significantly on a rise.
Whereas a data scientist explains the current state by analyzing data as well as provides predictions for the future through their study and algorithms. The importance of data science has started growing immensely for various reasons. Let’s look at one main factor which contributed to its importance.
Big data courses in Andheri – Job Statistics
………………………………………………
These are just the number of jobs posted on the job portal. So, you can already imagine the actual demand for data scientists. Thus, it is the perfect time to get started in data science and establish a successful career in this in-demand industry.
In layman’s terms, Data science is the job of using scientific methods, processes and algorithms to analyze large amounts of data and extract useful information from it across various domains. To understand data science with an interesting example, continue reading. You must be aware of how you can run very specifically targeted ads on social media and Google under digital marketing. So, data science is a very significant contributing factor in the rising scope of digital marketing.
Without further ado, let’s get started with the listicle of the big data courses in Andheri.
Today’s enterprises are generating massive amount of Data, Which essentially has 3 attributes:
Velocity : – The rate at which the data is being generated
Volume : – The size of the data, we are talking about GB and TBs here
Variety :- Data from Multiple sources and multiple kinds
This added complexity cannot be handled with traditional frameworks hence Hadoop. Hadoop is a parallel processing programming framework which work in Map/ Reduce.
Consider a problem where you need to count the number of words in a 5-pound book. would be very difficult for one person but if you tear the pages and distribute it to hundreds of people. Each will count the words in their “page” and then you can simply total that count from each person you shall have to total word count in no time.
What Comes Under Big Data?
Big data involves the data produced by different devices and applications. Given below are some of the fields that come under the umbrella of Big Data.
- Social Media Data − social media such as Facebook and Twitter hold information and the views posted by millions of people across the globe.
- Black Box Data − It is a component of helicopter, airplanes, and jets, etc. It captures voices of the flight crew, recordings of microphones and earphones, and the performance information of the aircraft.
- Stock Exchange Data − The stock exchange data holds information about the ‘buy’ and ‘sell’ decisions made on a share of different companies made by the customers.
- Transport Data − Transport data includes model, capacity, distance and availability of a vehicle.
- Search Engine Data − Search engines retrieve lots of data from different databases.
- Power Grid Data − The power grid data holds information consumed by a particular node with respect to a base station.
Benefits of Big Data
- Using the information in the social media like preferences and product perception of their consumers, product companies and retail organizations are planning their production.
- Using the information kept in the social network like Facebook, the marketing agencies are learning about the response for their campaigns, promotions, and other advertising mediums.
- Using the data regarding the previous medical history of patients, hospitals are providing better and quick service.
Big Data Technologies
To harness the power of big data, you would require an infrastructure that can manage and process huge volumes of structured and unstructured data in Realtime and can protect data privacy and security.
Big data technologies are important in providing more accurate analysis, which may lead to more concrete decision-making resulting in greater operational efficiencies, cost reductions, and reduced risks for the business.
There are various technologies in the market from different vendors including Amazon, IBM, Microsoft, etc., to handle big data. While looking into the technologies that handle big data, we examine the following two classes of technology −
Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.
Why is Hadoop important?
- Low cost. The open-source framework is free and uses commodity hardware to store large quantities of data.
- Flexibility. Unlike traditional relational databases, you don’t have to preprocess data before storing it. You can store as much data as you want and decide how to use it later. That includes unstructured data like text, images and videos.
- Scalability. You can easily grow your system to handle more data simply by adding nodes. Little administration is required.
- Computing power. Hadoop’s distributed computing model processes big data fast. The more computing nodes you use, the more processing power you have.
- Ability to store and process huge amounts of any kind of data, quickly. With data volumes and varieties constantly increasing, especially from social media and the Internet of Things (IoT), that’s a key consideration.
- Fault tolerance. Data and application processing are protected against hardware failure. If a node goes down, jobs are automatically redirected to other nodes to make sure the distributed computing does not fail. Multiple copies of all data are stored automatically.
What are the challenges of using Hadoop?
There’s a widely acknowledged talent gap. It can be difficult to find entry-level programmers who have sufficient Java skills to be productive with MapReduce. That’s one reason distribution providers are racing to put relational (SQL) technology on top of Hadoop. It is much easier to find programmers with SQL skills than MapReduce skills. And, Hadoop administration seems part art and part science, requiring low-level knowledge of operating systems, hardware and Hadoop kernel settings.
Data security. Another challenge centers around the fragmented data security issues, though new tools and technologies are surfacing. The Kerberos authentication protocol is a great step toward making Hadoop environments secure.
MapReduce programming is not a good match for all problems. It’s good for simple information requests and problems that can be divided into independent units, but it’s not efficient for iterative and interactive analytic tasks. MapReduce is file-intensive. Because the nodes don’t intercommunicate except through sorts and shuffles, iterative algorithms require multiple map-shuffle/sort-reduce phases to complete. This creates multiple files between MapReduce phases and is inefficient for advanced analytic computing.
Full-fledged data management and governance. Hadoop does not have easy-to-use, full-feature tools for data management, data cleansing, governance and metadata. Especially lacking are tools for data quality and standardization.
Big Data Course in Andheri –
The objectives of Big Data Course in Andheri will enable you to identify Big Data, Store and retrieve Big Data on HDFS, How to apply various processing techniques to process this data, How to use HADOOP with existing system (OLAP, DWH), How to use Hadoop ecosystem tools like Sqoop, Flume, Oozie,To know what is Spark,what is BIRT and how to create Report using BIRT.
The Big Data Hadoop market is becoming vast and there is no turning back. Big Data & Hadoop skills could be a great step between your current career & your dream career. Big Data Course in Andheri has been considered a big game changer in most of the industries over the last few years. In fact, Big Data has been undertaken by a vast number of organizations belonging to various domains. By getting familiar with big data sets using Big Data Tools like Hadoop and Spark, they are able to identify different hidden patterns to find unknown correlations, market trends, customer preferences and other useful business information.
Big Data Course in Andheri is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data Hadoop, including: Software Developers and Architects, Analytics Professionals, Senior IT professionals, Testing and Mainframe Professionals, Data Management Professionals, Business Intelligence Professionals, Project Managers, Aspiring Data Scientists, Graduates looking to begin a career in Big Data Analytics.
If you want to enter into Big Data Course in Andheri should have a basic understanding of Core Java and SQL. If you wish to improve your Core Java skills, Big Data Corse offers complimentary self-paced course Java essentials for Hadoop when you enroll for this course.
The Big Data Hadoop Course training is designed to give you deep knowledge of the Big Data framework using Hadoop and Spark Tools. In this Hadoop course, you will execute real-life, industry-based projects using Integrated Lab. The benefits of taking up the Big Data Course in Andheri are promising. Getting hands in Big Data and Analytics field is a smart career decision. According to research, the global Hadoop market will reach $84.6 Billion by 2021 and there is also a requirement of around 1.4-1.9 million Hadoop data analysts in the U.S. alone.
Big Data influences everything around us. That’s why it’s important to understand the tools used to manage it, tools like Hadoop. Our Big Data and Hadoop Course in Andheri can help you master the Hadoop framework. By taking Big Data training in Andheri
Big Data & Hadoop Syllabus
…………………………….
Module 1
…………
Big Data Introduction and Hadoop
Fundamental
Data Storage & Analysis
Basic Terminologies
HDFS Block Concepts
Replication Concepts
Basic reading & writing of files in HDFS
Comparision with RDBMS
HDFS ARCHITECTURE
Module 2
…………
HADOOP ADMINISTRATOR
Single and Multinode cluster installation (HADOOP Gen 2)
AWS (EC2, RDS, S3, IAM and Cloud formation)
Cloudera and Hortonworks distribution installation on AWS
Cloudera Manager and Ambari
HADOOP GEN1 VS HADOOP GEN 2(YARN)
Hadoop Security and Commissioning and Decommissioning of nodes
Linux commands
Module 3
…………
DATA INGESTION
Migration of data from MYSQL/ ORACLE to HDFS.
Creating SQOOP job.
Scheduling and Monitoring SQOOP job using OOZIE and Crontab.
Incremental and Last modified mode in sqoop.
Installation of Talend big data studio on windows server.
Talend:
Sqoop:
Happy Learning
Are Looking for Big Data Course in Andheri, see below Given Institutes –