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Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information. These patterns are a minefield of information and analyzing them provide several insights that can be used by organizations to make business decisions. This analysis is essential for large organizations like Facebook that manage over a billion users every day, and use the data collected to help provide a better user experience.
Big data analytics certification is growing in demand and is most relevant in data science today than in other fields. The field of data analytics is new and there are not enough professionals with the right skills. Hence, the credibility of big data analytics certification promises many growth opportunities for organizations as well as individuals in the booming field of data science.
According to IDC, worldwide spending on big data and analytics is growing at a compound annual growth rate (GAGR) of 11.9 percent, and revenues will likely total more than $210 billion by 2020. This growth will only increase in the coming years as more and more data gets generated and the need to analyze it for business benefits increases. This has led to an increased demand for data scientists, analysts, and data management experts. Moreover, according to IDC, big data staffing shortage is expected to expand from analysts and scientists to include architects as well as experts in data management. Hence gaining expertise in this domain is sure to help you reap rich dividends in the future.
Enterprises have realized the value that Big data analysis provides to their business, which is why there is an increase in demand for Big Data Analytics professionals. The following states the reasons why big data is in high demand:
Influences Project Outcomes: Lack of Big Data may cause failure in project management, which might further lead to losses or pitfalls. Big Data analysis deals with trends, patterns, and various other parameters related to the project being worked on. This way, an unexpected variable can be overcome, hence improving project performance.
Predictive Analytics: To make predictions for the future, the predictive analysis uses various techniques from data mining, statistics, modeling, machine learning, and AI. As per the patterns found in historical and transactional data, risks can be identified along with the various opportunities for the future.
User Experience: Big Data is in high demand because it helps enhance customer experience. Taking data from call logs, social media channels, customer feedback, etc. allows businesses to improve their products as well as customer experience.
Attending this Big Data Analytics training will help you in getting a job in the following ways:
Today, Big Data Analysts are in great demand. Industries like Professional Services, Manufacturing, IT, Retail and Finance hire individuals who are experts in Big Data technology. Here is a list of some of the companies hiring Big Data professionals:
Certification Training is designed by industry experts to make you a Certified Big Data Practitioner. The Big Data Hadoop in-depth knowledge of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) & MapReduce Comprehensive knowledge of various tools that fall in Hadoop Ecosystem like Pig, Hive, Sqoop, Flume, Oozie, and HBase The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS Projects which are diverse in nature covering various data sets from multiple domains such as banking, telecommunication, social media, insurance, and e-commerce Rigorous involvement of a Hadoop expert throughout the Big Data Hadoop Training to learn industry standards and best practices.
You will get introduced to real-world problems with Big data and will learn how to solve those problems with state-of-the-art tools. Understand how Hadoop offers solutions to traditional processing with its outstanding features. You will get to Know Hadoop background and different distributions of Hadoop available in the market. Prepare the UNIX Box for the training.
1. Big Data Introduction
Hands On: Installation of Virtual Machine using VMPlayer on Host Machine. And work with some basics Unix Commands needs for Hadoop.
2. Hadoop Daemon Processes
You will learn what are the different Daemons and their functionality at a high level.
3. HDFS (Hadoop Distributed File System)
You will get to know how to Write and Read files in HDFS. Understand how Name Node, Data Node and Secondary Name Node take part in HDFS Architecture. You will also know different ways of Accessing HDFS data.
4. Hadoop Installation Modes and HDFS
You will learn different modes of Hadoop, understand Pseudo Mode from scratch and work with Configuration. You will learn the functionality of different HDFS operations and Visual Representation of HDFS.
Read and Write actions with their Daemons Name node and Data Node.
5. Hadoop Developer Tasks
Understand different Phases in Map Reduce including Map, Shuffling, Sorting and Reduce Phases. Get a deep understanding of the Life Cycle of MR in YARN submission. Learn about the Distributed Cache concept in detail with examples.
Write Word count MR Program and monitor the Job using Job Tracker and YARN Console. Also learn about more use cases.
Understand the importance of PIG in Big Data World, PIG architecture and PIG Latin commands for doing different complex operations on Relations, and also Pig UDF and Aggregation functions with piggy bank library.
Learn how to pass dynamic arguments to Pig Scripts.
Understand the importance of Hive in the Big Data World. Different ways of configuring HIVE Metastore. Learn different types of tables in hive. Learn how to optimize hive jobs using Partitioning and Bucketing and Passing dynamic Arguments to Hive scripts. You will get an understanding of Joins, UDFS, Views etc.
Learn how to import normally and incrementally data from RDBMS to HDFS and HIVE tables, and also learn how to export the data from HDFS and HIVE tables to RDBMS. Learn Architecture of Sqoop Import and Export.
Understand different types of NOSQL databases and CAP theorems. Learn different DDL and CRUD operations of HBASE. Understand HBase Architecture and Zookeeper Importance in managing HBase. Learns HBase Column Family optimization and client Side Buffering.
Understand Oozie Architecture and monitor Oozie Workflow using Oozie. Understand how Coordinator and Bundles work along with Workflow in Oozie. Also learn Oozie Commands to submit, Monitor and Kill the Workflow.
Understand Flume Architecture and its components Source, Channel and Sinks. Configure flume with Socket, File Sources and HDFS and HBase Sink. Understand Fan In and Fan Out Architecture.
7. Data Analytics using Pentaho as an ETL tool
You will learn Pentaho Big Data Best Practices, Guidelines, and Techniques documents.
You will see different Integrations among the Hadoop ecosystem in a Data engineering Flow. Also understand how important it is to create a flow for the ETL process.
There are no prerequisites for attending this course.
Big Data analytics is important for companies and individuals to utilize data in the most efficient manner to cut costs. Tools such as Hadoop can help identify new sources of Data to help businesses to make quick decisions, to understand market trends and develop new products.
To become a Big Data Analyst, you can take up the Big Data Analytics course. The course will help you understand the fundamentals and basics of Apache Hadoop and data ETL, ingestion, processing with Hadoop tools. Learn and understand the Pig framework and Hive framework. Moreover, you will get the opportunity to work on real-world projects as the course is curated by industry experts.
The Big Data Analytics course completion certificate by Innovision Learning has lifetime validity.
Big Data Analytics expertise will benefit you in the following ways:
Hadoop course is divided into five phases:
The Big Data Analytics training does not have any restrictions although participants would benefit slightly if they’re familiar with basic programming languages.
All of the training programs conducted by us are interactive in nature and fun to learn as a great amount of time is spent on hands-on practical training, use case discussions, and quizzes. An extensive set of collaborative tools and techniques are used by our trainers which will improve your online training experience.
The Big Data Analytics training conducted at Innovision Learning is customized according to the preferences of the learner. The training is conducted in three ways:
Online Classroom Training: You can learn from anywhere through the most preferred virtual live and interactive training.
Self-paced Learning: This way of learning will provide you lifetime access to high-quality, self-paced e-learning materials designed by our team of industry experts.
Team/Corporate Training: In this type of training, a company can either pick an employee or entire team to take online or classroom training. Flexible pricing options, standard Learning Management System (LMS), and enterprise dashboard are the add-on features of this training. Moreover, you can customize your curriculum based on your learning needs and also get post-training support from the expert during your real-time project implementation.
Note: Each session of 3 hour
There are very few chances of you missing any of the Big Data Analytics training sessions at Innovision Learning. But in case you miss any lecture, you have two options:
The online Apache Spark course recordings will be available to you with lifetime validity.
Yes, the students will be able to access the coursework anytime even after the completion of their course.
Opting for online training is more convenient than classroom training, adding quality to the training mode. Our online students will have someone to help them any time of the day, even after the class ends. This makes sure that people or students are meeting their end learning objectives. Moreover, we provide our learners with lifetime access to our updated course materials.
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
This will be live interactive training led by an instructor in a virtual classroom.
We have a team of dedicated professionals known for their keen enthusiasm. As long as you have a will to learn, our team will support you in every step. In case of any queries, you can reach out to our 24/7 dedicated support at any of the numbers provided in the link below firstname.lastname@example.org contact-us.
We also have Slack workspace for the corporate to discuss the issues. If the query is not resolved by email, then we will facilitate a one-on-one discussion session with one of our trainers.
Typically, Innovision Learning. training is exhaustive and the mentors will help you in understanding the concepts in-depth.
However, if you find it difficult to cope, you may discontinue and withdraw from the course right after the first session as well as avail 100% money back. To learn more about the 100% refund policy, visit our Refund Policy.
Visit the following page to register yourself for the Big Data Analytics Training: https://www.innovisionlearning.com/enrollnow
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