Empowering Professionals & Scholars | Certified Big Data Professional

Course / Course Details

Certified Big Data Professional - CBDP

Technology

By - Admin
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Course Requirements

There are no formal prerequisites for the exam, but knowledge of Hadoop and Mongo DB will help to understand the concepts

Course Description

The Certified Big Data Professional is an extensive certification that equips individuals with a deep understanding of the fundamental principles of big data.In today's data-driven world, where information is expanding exponentially, this certification plays a crucial role in enabling professionals to analyze and extract insights from large and complex datasets that cannot be managed by traditional software.

The certification covers a wide range of topics, including data capture, storage, analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data sources.

By obtaining Big Data certification, candidates gain expertise in Big Data Fundamentals, Big Data Sources, Data Mining: Concepts and Tools, and Big Data Technologies.

Big Data certification ensures that professionals are well-prepared to tackle the challenges posed by the volume, variety, and velocity of data, allowing them to make informed decisions and drive meaningful outcomes in today's technology-driven world.

The Big Data Foundation Certification program is globally designed to enhance data management capabilities, strengthen big data analytics knowledge, and support data-driven decision-making across organizations.

Learn directly from global data practitioners, big data experts, and industry leaders who are shaping the future of big data technologies and advanced data analytics.

Course Outcomes

Objectives of Big Data Professional Certification

Gain a solid grasp of the core concepts of big data.
Extract valuable insights from vast datasets.
Effectively handle diverse and complex data sources.
Proficiently apply data mining techniques and tools.

Implement and leverage advanced big data technologies.
Make informed decisions through data analysis.
Drive meaningful outcomes in a technology-driven society.

Benefits of Certified Big Data Professional

Understand the fundamental principles and architecture of big data systems.
Develop skills to design strategies for managing large and complex datasets.
Learn to identify relevant big data sources for diverse business needs.
Gain practical experience in employing data mining concepts and tools.

Build proficiency in applying big data technologies to solve real-world problems.
Master the ability to evaluate and implement scalable solutions for data challenges.
Acquire the knowledge to establish data-driven decision-making frameworks.

Course Curriculum

10 chapters
87 lectures
0 exams
N/A total length

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1 Introduction To Big Data

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2 Types Of Data

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3 Introduction to Hadoop

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4 Comparison with RDBMS

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5 Hadoop Features

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6 Hadoop Ecosystem

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1 Hadoop Core Components

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2 Hadoop Distributed File System

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3 HDFS Files And Blocks

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4 HDFC Components And Architecture

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5 HDFS File Read-Write

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6 HDFS Commands

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1 Mapreduce

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2 Map - Reduce Flow

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3 Mapreduce Example

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4 HDFS Input Splits

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5 MapReduce Architecture

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6 Combiners And Partitioners

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7 MapReduce Data Flow

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8 MapReduce Examples

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1 Advanced MapReduce I

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2 GenericOptionsParser Tool And ToolRunner

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3 Serialization Or Deserialization

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4 Chaining Of Jobs

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5 Distributed Cache

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6 Counters

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7 JUnit Testing

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8 Schedulers

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9 Data Compression In Hadoop

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10 Different Input And Output Formats In MapReduce

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11 Chain Mapping

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12 Compression In Gzip

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13 Distributed Cache

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14 Counters

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15 MRUnit Test

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16 Multiple Inputs

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17 Read Sequence File

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1 Introduction

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2 PIG Latin Language

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3 Running PIG In Different Modes

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4 Apache PIG Architecture

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5 Grunt Shell

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6 Pig Latin Statements

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7 Pig Data Model Scalar Types

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8 Complex Types

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9 Arithmetic Operators

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10 Comparison Operators

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11 Cast Operator

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12 Type Construction Operators

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1 Relational Operators

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2 Loading And Storing

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3 Filtering Operators

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4 Grouping And Joining Operator Part 2

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5 Combining And Splitting Operators

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6 Sorting Operators

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7 Diagnostic Operators

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8 Filtering Operators Pig Streaming With Python

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1 Introduction To Hive

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2 Hive Use Case twitter

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3 Hive vs MapReduce

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4 What Is Hive

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5 Advantages Of Apache Hive

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6 Architecture Of Apache HIVE

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7 Data Types In Hive

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8 Hive Query Language

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9 DDL On Database

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10 DDA On Tables

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11 Different Tables In Hive

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12 Advanced DDL on Tables

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13 File Format In Hive

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14 DML Loading Data In Table

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15 Managing Output

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16 HiveQL Queries

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17 Operators And Functions In Hive

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18 Hive Clauses

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1 What Is HBase

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2 HBase History

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3 Building Blocks Of HBase

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4 Column - Family In HBase

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5 Storage Of Column Family

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6 Data Model In HBase

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7 Timestamp As Version

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1 Getting Started With HBase Shell

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2 DDL in HBase Part 1

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3 DDL in HBase Part 2

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4 DDL in HBase Part 3

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1 DML in HBase

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Instructor

Admin

As the Admin of our platform, I bring over a decade of experience in managing and leading digital transformation initiatives. My journey began in the tech industry as a developer, and I have since evolved into a strategic leader with a focus on innovation and operational excellence. I am passionate about leveraging technology to solve complex problems and drive organizational growth. Outside of work, I enjoy mentoring aspiring tech professionals and staying updated with the latest industry trends.

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