Big Data Introduction Course Overview
Before we start reading about Big Data, let's familiarize ourselves with the definition of Data.Data refers to the quantities, characters, or symbols on which many operations take place inside a computer and this information gets stored and transmitted.
Big data refers to making effective use of the collection of data sets that are large and complex. These complex and huge data cannot be processed using on-hand database management tools or traditional data processing applications. Data processing will not be able to handle such data and we need different architecture and algorithms to process and store such huge data. Handling of such data is made possible by automatic generation supported by Big Data.
Big Data provides complete information about online users that is applicable for any businesses and provides a significant profit.
Big Data Analysis represents the analysis of data, where the data is huge in size(volume), variety, and generated at high velocity. This data can be structured and unstructured.
Big Data allows you to derive innovative solutions, vast access of information via surveys, delivers answer for any queries, and provides speed updates. Big Data is enormous and serves as one platform having unlimited information.
What will you learn
Are you New to Big Data, During this course, you will learn to:
Use the V's of Big Data
Big Data concepts
Understand the needs to improve performance of your organization
Segment customers
Apply automated algorithms for innovating new business models, products and services
Why get enrolled in this course
Enroll in this course to:
1. Gain knowledge of Big Data
2. Apply automated algorithms
3. Identify the best solution for increasing performance
Introduction to Big Data Course Offerings:
1. Live/Virtual Training in the presence of online instructors
2. Quick look at Course Details, Contents, and Demo Videos
3. Quality Training Manuals for easy understanding
4. Anytime access to Reference materials
5. Gain your Course Completion Certificate on the Topic
6. Guaranteed high pay jobs after completing certification
Course Benefits for Big Data Beginners
1. Understanding of insights to run the business efficiently
2. Convert unstructured data into productive structured data
3. Enables you to provide better customer services
4. Gain ideas on processing huge volumes of data
5. Learn to handle the volume, velocity, variety and veracity of Big Data
Audience
Any audience interested in learning about Big Data
Prerequisite
No Prerequisite, anybody who is keen to learn big data concepts and to explore career in big data career.
Introduction to Big Data Course Content
Lesson 1: Introduction
This chapter introduces you to the world of Big Data. Big Data means high volume, high-velocity, and high-variety information that require processing and help in enhanced decision making, insight discovery and process optimization.
1.1. What is Big Data?
1.2. Characteristics of Big Data
Lesson 2: The V's of Big Data
In this lesson, you will learn about the V's of Big Data that includes Volume, Velocity, Variety and Veracity. In Big data, data is measured using these V's.
2.1. What are the V's of Big Data?
2.2. The Impact of Big Data
Lesson 3: Big Data and its Success factors
You will learn about some common examples of Big data and the sources which include Users, Applications, Sensors and Systems.
The most impacting Big data success will spread across different industries or organizations and the way they handle data.
3.1. Big Data Examples
3.2. Sources of Big Data
3.3. Big Data Adoption
Lesson 4: Categories of Big Data
Structured Data refers to any data that is stored and processed in fixed format. Unstructured data refers to any data that is in unknown format. Semi-structured data includes both the data format mentioned.
4.1. Structured
4.2. UnStructured
4.3. Semi-Structured
Lesson 5: BD Use Cases
Big Data is unique in the method of collecting, aggregating, and analyzing data. The ultimate strength of a big data is the output, the analytics which helps to optimize the business.
The output is displayed in the form of dashboards and reports, and is available for access using on-demand queries.
5.1. Big Data Exploration
5.2. The Enhanced 360 View of a Customer
5.3. Security and Intelligence
5.4. Operations Analysis
Lesson 6: Big Data Processing
6.1. Ecosystems of Big Data
6.2. The Hadoop Framework
Students FAQs
1. What will I gain taking this certificate course?
At the end of this training, you will be able to store, access and process all the data for efficient operation and you will be able to make wise decisions, reduce risks and serve customers.
2. Why is Big Data so important?
Big Data serves as a real asset for any organization when properly utilized. Big data allows to customize offerings based on past data and generates solutions for potential problems. Big data will serve as a game changer for any business.
3. What Is Apache Hadoop?
Hadoop provides a new open source platform to analyze and process Big Data. Apex language provides a powerful and productive environment to create functionality and logic, allowing developers to focus just on other elements specific to their application.
4. What are the V's of Big Data?
Volume (Data Quantity)
Velocity (Data Speed)
Variety (Data Type)
Veracity (Messiness)
5. What does Big data do?
Big Data involves collecting data from various sources and merging them so that they become available for organizations in a clear way.
Big data converts large amounts of unstructured raw data into useful data product.
6. What are the tools used in Bigdata scenarios?
The following are few tools used in Big Data scenarios:
NoSQL (that includes DatabasesMongoDB, CouchDB, Cassandra, Redis, BigTable, HBase, Hypertable, Voldemort, ZooKeeper)
MapReduce (that includes Hadoop, Hive, Pig, Cascading, Cascalog, mrjob, Caffeine, S4, MapR, Acunu, Flume, Kafka, Azkaban, Oozie, Greenplum)
Storage(that includes S3, Hadoop Distributed File System)
Servers (that includes EC2, Google App Engine, Elastic, Beanstalk, Heroku )
Processing (that includes R, Yahoo! Pipes, Mechanical Turk, Solr/Lucene, Datameer, BigSheets)
7. What are the cost saving measures taken in Big Data?
Many sources and databases help to make big data cost effective. Almost all enterprises rely on the pay as you go model known as the Opex or CapEx debate.
8. What are the benefits of Big data?
The benefits of Big Data are as flows:
Increased operational efficiency
Improved customer service
Use outside intelligence for decision making
Early detection of product risks/services