Big Data

HDP Certified Administrator certification is the Hadoop Admin certification program for system administrators to check their knowledge of installing, supporting, and configuring a Hadoop cluster.
  • 5 hours 12 minutes training videos
  • 100% Syllabus Covered
  • Unlimited Access
Topic-wise Content Distribution Chapter 1: Introduction to Hadoop
  • 1. Introduction to Hadoop
  • 9m 49s
Chapter  2: Understanding Data
  • 2. Understanding Data
  • 10m 26s
Chapter  3: Cluster Basics
  • 3. Cluster Basics
  • 11m 49s
Chapter  4: MapReduce
  • 4. MapReduce
  • 9m 35s
Chapter  5: Hadoop Architecture
  • 5.1 : Admin Basics
    11m 18s
  • 5.2 : Hadoop Components
    15m 7s
Chapter  6: Installation  of Hadoop
  • 6.1 : Bash Basic
    10m 16s
  • 6.2 : Install Hadoop (User Props And Install Modes)
    31m 48s
  • 6.3 : Setting Up SSH
    15m 47s
  • 6.4 : Install Preparing Repos
    22m 3s
  • 6.5 : Install Apache Server And Capacity Planning
    11m 15s
  • 6.6 : Install Ambari Server
    29m 30s
Chapter  7: Administration (HDPCA Tasks)
  • 7.1 : Web Console Introduction
    11m 35s
  • 7.2 : Web Console Ops Racks Hosts
    34m 9s
Chapter  8: Resources Management
  • 8.1 : Resource Manager UI
  • 27m 10s
Chapter  9: HDFS Operations
  • 9.1 : HDFS User Creation and Permission
    12m 25s
  • 9.2 : HDFS Snapshots
    20m 49s
Chapter  10: High Availability-NameNode
  • 10. High Availability
  • 9m 40s
Chapter  11: Introduction to Linux Terminal
  • 11. Introduction to Linux Terminal
  • 13m 24s
HDP Certified Developer (HDPCD) Spark certification is a hands-on, performance-based certification for Spark Developers who can develop Spark SQL and Spark Core applications.
Topic-wise Content Distribution Chapter 1: Introduction to Series- Spark, SparkCore and SparkSQL
  • Introduction to Series- Spark, SparkCore and SparkSQL
  • 15m 7s
Chapter 2: Getting Started with Spark- A General Introduction to Spark
  • Getting Started with Spark- A General Introduction to Spark
  • 13m 19s
Chapter 3: Programming using Spark and Eclipse
  • Programming using Spark and Eclipse
  • 23m 26s
Chapter 4: Resilient Distributed Datasets-RDD
  • Resilient Distributed Datasets-RDD
  • 20m 16s
Chapter 5: Fly with RDDs
  • Fly with RDDs
  • 30m 15s
Chapter 6: Key Value Stores/Pair RDDs
  • 6.1 : Key Value Stores/Pair RDDs
    25m 41s
  • 6.2 HDPCD Spark – Hands On: Working with Pair RDDs
    17m 6s
Chapter 7: Loading and Saving Data using Spark
  • Loading and Saving Data using Spark
  • 28m 31s
Chapter 8: Accumulators and Broadcastors
  • 8.1 Accumulators and Broadcastors
    14m 8s
  • 8.2 HandsOn - Broadcastors and Accumulators by means of an Application
    15m 8s
Chapter 9: SparkSQL-I – SparkSQL using native FileSystems
  • SparkSQL-I – SparkSQL using native FileSystems
  • 18m 17s
Chapter 10: SparkSQL-II – SparkSQL using Hadoop
  • SparkSQL-II – SparkSQL using Hadoop
  • 27m 46s
Chapter 11: Spark Properties
  • Spark Properties
  • 15m 27s
Chapter 12: HandsOn 1: Getting Started with HDP SandBox
  • Getting Started with HDP SandBox
  • 19m 27s
Chapter 13: HandsOn 2: XML Validator
  • First Spark App- XML Validator
  • 13m 29s
Chapter 14: HandsOn 3 : Persistence and Partitioning
  • HandsOn 3 : Persistence and Partitioning
  • 25m 44s
Validate your core systems and cluster administrator skills with Cloudera Certified Hadoop Administrator certification and get ready to ace the competition.
  • 6 hrs 48 mins training videos for all exam objectives
  • 100% Syllabus Covered
  • Unlimited Access
Topic-wise Content Distribution
Chapter 1: Introduction to Big Data, Hadoop and Cloudera
  • Introduction to Big Data, Hadoop and Cloudera
  • 19m 46s
Chapter 2: Using Oracle Virtual Box
  • Using Oracle Virtual Box
  • 19m 34s
Chapter 3: Using Cloudera Quick-Start VM
  • Using Cloudera Quick-Start VM
  • 20m 30s
Chapter 4: Cloudera Hadoop Installation
  • Cloudera Hadoop Installation
  • 19m
Chapter 5: Working with HDFS
  • Working with HDFS
  • 23m 8s
Chapter 6: Working with YARN
  • Working with YARN
  • 24m 51s
Chapter 7: Installing Sqoop
  • Installing Sqoop
  • 13m 31s
Chapter 8: Ingesting Data Using Sqoop
  • Ingesting Data Using Sqoop
  • 16m 49s
Chapter 9: Working with Hive
  • Working with Hive
  • 18m 30s
Chapter 10: Using with Pig and Impala
  • Using with Pig and Impala
  • 23m 20s
Chapter 11: Flume & Hadoop REST Services
  • Flume & Hadoop REST Services
  • 23m 17s
Chapter 12: Managing YARN Resources
  • Managing YARN Resources – Part 1
    16m 52s
  • Managing YARN Resources – Part 2
    13m 23s
Chapter 13: Cloudera Manager Features
  • Cloudera Manager Features
  • 16m 47s
Chapter 14: Cluster Maintenance Operations
  • Cluster Maintenance Operations
  • 26m 39s
Chapter 15: Planning a Hadoop Cluster
  • Planning a Hadoop Cluster
  • 21m 41s
Chapter 16: Integrating Kerberos with Hadoop
  • Integrating Kerberos with Hadoop
  • 22m 6s
Chapter 17: Advanced Cluster Management
  • Advanced Cluster Management – Part 1
    19m 37s
  • Advanced Cluster Management – Part 2
    24m 7s
  • Advanced Cluster Management – Part 3
    24m 18s
Learn the basics and core concepts of Apache Kafka to build your own Kafka cluster and get ready to explore the world of distributed messaging system!
Topic-wise Content Distribution Module 1: Introduction to Kafka
  • Course Introduction
    4m 47s
  • Kafka Introduction
    14m 24s
Module 2: Kafka Concepts
  • mesage,batches,partitions
    5m 40s
  • offsets,brokers,cluster
    4m 56s
  • data retention, replication
    3m 54s
  • prodeucer, message keys
    5m 19s
  • consumer, consumer group, offsets
    4m 1s
  • broker discovery, zookeeper
    2m
  • architecture
    5m 15s
Module 3: Kafka Setup
  • java-installation
    5m 4s
  • kafka-installation
    5m 37s
  • Starting-kafka
    5m 16s
Module 4: Kafka CLI
  • CLI-topics
    14m
  • CLI-producers
    12m 5s
  • CLI-consumers
    4m 8s
  • CLI-consumer-groups
    20m 39s
  • CLI-Reset-offsets
    5m 48s
  • CLI-kafka-tool
    4m 59s
Module 5: Kafka ApIs
  • APIs-intellijsetup
    8m 42s
  • APIs-Producers
    21m 31s
  • APIs-Consumers
    20m 50s
  • kafa-connect
    13m 32s
  • kafka-streams
    18m 29s
Module 6: Kafka Advanced Topics
  • kafka-schema registry
    4m 8s
  • Topic configurations
    8m 12s
  • segment and indexes
    6m 32s
  • Producer configuration safe producer
    6m 17s
Module 7: kafka Twitter case study
  • kafka-twittercasestudy-setup-twitterapp
    7m 18s
  • kafka-twittercasestudy-setup-producer
    18m 40s
  • kafka-twittercasestudy-setup-ES consumer
    24m 25s
Learn the Apache Beam programming model with its real-time implementation and get ready to build and run big data pipelines with Apache beam.
  • 3+ hours of Training Videos
  • 10 lectures
  • Very exhaustive coverage to all the topics
  • Unlimited Access
Topic-wise Content Distribution Course Lectures
  • Apache Beam
    32m 2s
  • Programming model
    19m 43s
  • Pipeline design
    18m 25s
  • Pipelines in Dataflow
    18m 38s
  • Machine learning example
    11m 11s
  • Real-Time Data Pipelines
    28m 28s
  • Data models and use cases
    19m 35s
  • Demo - setup and run pipelines
    11m 38s
  • Demo - Setup Apache Beam
    22m 15s
  • Demo - Apache Beam with Tensor flow
    24m 43s
Learn the Apache Beam programming model with its real-time implementation and get ready to build and run big data pipelines with Apache beam.
  • 3+ hours of Training Videos
  • 10 lectures
  • Very exhaustive coverage to all the topics
  • Unlimited Access
Topic-wise Content Distribution Course Lectures
  • Apache Beam
    32m 2s
  • Programming model
    19m 43s
  • Pipeline design
    18m 25s
  • Pipelines in Dataflow
    18m 38s
  • Machine learning example
    11m 11s
  • Real-Time Data Pipelines
    28m 28s
  • Data models and use cases
    19m 35s
  • Demo - setup and run pipelines
    11m 38s
  • Demo - Setup Apache Beam
    22m 15s
  • Demo - Apache Beam with Tensor flow
    24m 43s
Learn Splunk covering from the basics to advanced topics with scenario-based examples and build your skills in clustering and visualising data with Splunk.
  • 4 hours of Training Videos
  • 14 lectures
  • Very exhaustive coverage to all the topics
  • Unlimited Access
Topic-wise Content Distribution Course Lectures
  • Introduction
    20m 6s
  • Administration
    24m 42s
  • Data Sources
    28m 44s
  • Forwarder
    10m 26s
  • Indexer
    11m 35s
  • Knowledge Objects
    26m 44s
  • Metrics 1
    20m 29s
  • Metrics 2
    16m 58s
  • Search
    22m 47s
  • Visualization
    6m 16s
  • Demo Install Setup Configure Input
    11m 21s
  • Demo Basic Search Authentication Environment
    20m 25s
  • Demo Advanced Search
    13m 31s
  • Demo Reports Dashboards Alerts
    7m 33s
Learn how to use Tableau with basic to advanced techniques and become an expert of one of the Business intelligence (BI) and data visualisation tool.
  • 4 hours 23 minutes of Training Videos
  • 16 lectures
  • Very exhaustive coverage to all the topics
  • Unlimited Access for 2 Years
Topic-wise Content Distribution Course Lectures
  • Introduction I
    14m 59s
  • Introduction II
    18m 25s
  • Tableau I
    14m 59s
  • Tableau II
    18m 25s
  • Data Sources
    17m 17s
  • Calculations
    18m 53s
  • Visualizations
    18m 32s
  • Publishing
    18m 30s
  • Administration I
    18m 39s
  • Administration II
    12m
  • Demo Setup and Introduction
    17m 6s
  • Demo Visualization
    17m 44s
  • Demo Calculations
    8m 46s
  • Demo Calculations II
    8m 50s
  • Best Practices for Building Tableau Dashboard
    21m 44s
  • Demo Tableau Server on GCP
    18m 47s
SQL (Structured Query Language) is the standard database management language. Learn to communicate with databases with SQL basics training course.
  • 3+ hours of Training Videos
  • 7 lectures
  • Very exhaustive coverage to all the topics
  • Unlimited Access
Topic-wise Content Distribution Course Lectures
  • Databases and SQL
    29m 4s
  • SQL commands basic
    29m 58s
  • SQL commands advanced
    22m 34s
  • Data Analysis with SQL
    36m 17s
  • Demo setup
    12m 36s
  • Demo SQL Commands
    26m 27s
  • Demo advanced commands
    29m 53s
  • The Splunk Core Certified User exam or SPLK-1001 exam is an entry-level exam for proving a candidate’s ability for navigation and use of Splunk software. It showcases abilities for searching, using fields, using look-ups, and creating alerts, dashboards, and basic statistical reports in Splunk Cloud or Splunk Enterprise platforms.
  • We provide you with all of the most up-to-date training materials possible, and also 190+ full-length unique mock exam practice tests.
  • Prepare well for the Splunk Core Certified User exam and demonstrate your level of proficiency and hands-on experience in using and implementing Splunk.
  • 3 Full-length mock exams (195 unique questions)
  • Objective based practice tests
  • Exhaustive explanation with every question
  • Reports to assess strengths & weaknesses
  • Unlimited Access
  • Splunk is one of the prominent tools for understanding the value of machine data. Splunk is proprietary software that provides a web-based interface for searching, monitoring, and evaluating machine-based big data.
  • It performs different functions, such as collecting, indexing, and correlating real-time data in a container that has searchable properties.
The benefits of Splunk are the following:
  • Higher scalability and ease of implementation
  • Efficiency for locating useful information automatically
  • Intuitive interface that supports the creation and sharing of analytical reports with graphs, tables, and interactive charts.
  • Features for saving searches and tags for achieving a smarter system
The Splunk Core Certified User certification exam has no prerequisites. Candidates should, however, supplement their preparation for the Splunk Core Certified User certification by completing the Splunk Fundamentals 1 training course on Splunk.
Topic-wise Content Distribution Free Test
  • Free Test
  • 15 questions
Practice Tests
  • Practice Test 1
    65 questions
  • Practice Test 2
    65 questions
  • Practice Test 3
    65 questions
CCA Spark and Hadoop Developer (CCA 175) is one of the top Big Data certifications. Start your preparation now and become CCA.
  • 15 hours 16 minutes of Training Videos
  • 97 lectures
  • Very exhaustive coverage to all the topics
  • Unlimited access for 2 years
Topic-wise Content Distribution Introduction
  • Course Introduction
    10m 31s
  • Data sets
    3m 2s
Big data and Hadoop
  • big data and hadoop introduction
    3m 45s
  • What is Big Data
    4m 55s
  • What is Hadoop
    3m 52s
  • Hadoop echosystem
    3m 30s
  • Architecture of Hadoop & Control files
    6m 53s
  • HDFS architecture/blocks and splits/replication
    15m 1s
  • Read and Write anatomy
    5m 37s
  • Limitations of Classic hadoop /architecture of Yarn and workflow
    8m 35s
Lab Setup
  • Settig Up CDH 6 cluster on VM
    32m 22s
  • Settig Up CDH 6 cluster on AWS
    22m 34s
  • set up putty and Winscp
    6m 1s
  • HDFS commands
    12m 7s
Data Ingestion
  • Data injetion techniques part1
    15m 19s
  • Data injetion techniques part2
    3m 45s
Apache hive 
  • Introduction to Hive architecture & data model
    9m 22s
  • Hive environment
    8m 4s
  • Hive tables
    2m 48s
  • Hive file format and compression techniques.
    5m 37s
  • Creating Hive databases
    4m 45s
  • Creating Hive tables
    13m 46s
  • Loading hive tables with or without location
    8m 12s
  • Loding Hive tables with different file formats
    6m 50s
  • Loding Hive tables with Jason and XML
    11m 54s
  • altering hive tables and hive views
    10m 12s
Scala Fundamentals
  • Introduction to scala
    3m 43s
  • scala environment setup on Linux and Windows
    8m 43s
  • Basic programming construct
    12m 38s
  • scala functional programming concept -part1
    9m 53s
  • scala functional programming concept-part2
    16m 9s
  • scala object oriented concepts- class, objects, getter,setter
    13m 14s
  • constructors primary
    7m 48s
  • constructors auxiliary
    8m 45s
  • singleton objects
    6m 41s
  • companion class
    5m 28s
  • case class
    5m 30s
  • inheritance - single inheritance
    9m 24s
  • traits-- multiple inheritance
    12m 43s
  • scala collections Arrays
    9m 25s
  • scala collections lists
    7m 41s
  • scala collections tuples
    3m 15s
  • scala collections sets
    4m 58s
  • scala collections maps
    7m 58s
  • Basic map reduce operations on collection
    8m 3s
  • scala i/o operations using scla collections
    10m 2s
  • setting up sbt on Linux and windows
    6m 29s
  • Scala development life cycle
    13m 4s
Transform stage and Store
  • Introduction to spark
    10m 29s
  • starting spark shell
    11m 34s
  • RDDs basics and creating RDDs part1
    8m 45s
  • RDDs basics and creating RDDs part2
    8m 45s
  • RDD transformations & actions--string manipulations
    12m 8s
  • RDD transformations & actions--row level transformations using map and flatMap
    11m 22s
  • RDD transformations & actions-filter
    10m 28s
  • RDD transformations & actions- Inner Joins
    7m 59s
  • RDD transformations & actions- Outer Joins
    13m 38s
  • RDD transformations & actions- aggregation using countByKey and reduce
    9m 22s
  • RDD transformations & actions- Sorting
    9m 45s
  • RDD transformations & actions- Set Operations
    11m 26s
  • Saving output using the text format
    8m 6s
  • Saving output using the text format using compression
    4m 40s
  • sample solution -loading rdds
    4m 22s
  • sample solution -intermediate solution
    13m 10s
  • sample solution - final solution
    12m 42s
  • sample solution -saving solution on hdfs
    5m 10s
  • spark application lifecycle
    13m 13s
Data Processing Using Spark
  • Introduction
    5m 10s
  • staring spark context
    5m 12s
  • spark read APIs
    13m 38s
  • Spark dataframes functions -special functions col & lit
    13m 31s
  • Spark dataframes functions -string manipulation -1
    9m 42s
  • Spark dataframes functions -string manipulation -2
    8m 29s
  • Spark dataframes functions -date functions -1
    11m 16s
  • Spark dataframes functions -date functions -2
    12m 19s
  • Dataframes transformations filter
    14m 27s
  • Dataframes transformations aggregations
    7m 14s
  • Dataframes transformations sorting
    3m 47s
  • Dataframes transformations joins
    14m 50s
  • spark write APIs
    12m 42s
Spark SQL
  • SparkSQL introduction and getting started
    10m 46s
  • working with spark sql prompt
    11m 20s
  • Spark SQl DDL
    8m 27s
  • Spark SQl DML
    13m
  • Spark SQl file formats
    9m 23s
  • Spark SQL partitioning static
    17m 52s
  • Spark SQL partitioning dynamic
    7m 51s
  • Spark SQL Basic transformations projection
    6m 38s
  • Spark SQL Basic transformations filtering
    8m 21s
  • Spark SQL Basic transformations joins
    13m 17s
  • Spark SQL Basic transformations aggregation
    11m 1s
  • Spark SQL Basic transformations sorting
    4m 58s
  • Spark SQL builtin functions- Introduction
    5m 29s
  • Spark SQL builtin functions- string manipulation
    9m 50s
  • Spark SQL builtin functions- Date manipulation
    14m 17s
  • Spark SQL builtin functions- Numeric and data type conversion
    7m 20s
  • Spark SQL builtin functions- null handling and case/when
    6m 6s
Apache Cassandra 3.x Developer Associate Certification course is intended for Apache Cassandra developers who want to become DataStax certified Cassandra developers.
  • 2 Full-Length Mock Exams (120 Unique Questions)
  • Objective-based Practice Tests
  • Exhaustive Explanation with every question
  • Reports to assess strengths & weaknesses
  • Unlimited Access
Topic-wise Content Distribution Free Test
  • Free Test
  • 20 questions
Practice Tests
  • Practice Test 1
    60 questions
  • Practice Test 2
    60 questions
The “Introduction to TensorFlow” course is designed to help you gain knowledge of TensorFlow. You will learn the basics of AI, ML, Perceptron, Neural networks and implementing them in TensorFlow 2.0.
  • 3+ hours Training Videos (All Topics Covered)
  • Subject Matters Expert Support
  • Unlimited Access
Topic-wise Content Distribution Course Lectures
  • TensorFlow: Introduction
    22m 53s
  • TensorFlow: Building models
    19m 23s
  • TensorFlow : Analysis and Deployment
    14m 23s
  • TFLearn
    16m 43s
  • TensorFlow Python
    11m 22s
  • Linear Regression
    20m 34s
  • Artificial Intelligence: Introduction
    8m 37s
  • Artificial Intelligence: Machine Learning
    18m 44s
  • Neural networks: Introduction
    10m 37s
  • Neural networks: Deep learning
    19m 54s
  • Perceptrons: Introduction
    18m 59s
  • Perceptrons: MLP
    22m 5s
  • demo linear regression
    7m 52s
  • demo AND XOR gates
    6m 47s
  • demo Install
    3m 20s
  • demo TF Perceptron 1
    11m 36s
  • demo TF Perceptron 2
    10m 26s
  • demo TensorBoard1
    14m 47s
  • demo TensorBoard2
    7m 36s
  • Demo RNN
    11m 58s
  • Demo CNN
    14m 17s

No Accordion Found

  • Tableau allows you to retrieve huge amounts of data for easy exploration and analysis. It amalgamates computer graphics and database advancement and enables you to analyze large sets of data.
  • This course will walk you through the Tableau fundamentals.
  • Here you will learn Tableau Desktop concepts, data source connection, editing, and saving, Tableau interface, basic charts, joins, unions, configuration, assignment of a geographic role to the data field, using colors from the marks card, desktop configuration, viewing and exporting data, and much more.
  • Free test giving you an assessment on the exam
  • 2 practice tests carrying 45 unique questions each
  • Round the clock SME support
  • 24x7 Support from our Subject Matter Experts
  • The Tableau Desktop Specialist exam is for you, if you carry an understanding and foundational skills on Tableau Desktop, and carry a minimum of 3 months of Hands-on experience with the Tableau Desktop.
  • Tableau allows you to comprehend and solve data issues using full-fledged software. This exam is for you if you are a Data Analyst. It will prove beneficial if you have got prior experience.
There are no certain prerequisites for this exam, but a 3 months practical experience is recommended, as the everyday use of Tableau varies. There are several good reasons to go for the Tableau Desktop Specialist exam, some of them are:
  • This exam makes you learn data skills that are high in demand and craved by employers.
  • Passing this certification will attest to you as a useful resource to data-driven organizations.
  • It will add an increment to your salary since companies wish to hire resources with validated credentials.
The domains covered in the exam along with the exam objectives and the weightage for each section follow here: Connecting to and Preparing Data: This section covers 25% of the exam content. It includes creating a data source, extracting, live connection to the data source, adding a relationship to it, joins, unions, assigning an alias to a data value, geographic role to a data field, changing default values and data type for a data field, renaming it, saving metadata properties in a TDS, and more. Exploring and Analyzing Data: This domain covers around 35% of the exam questions. This involves the creation of basic charts including line and bars charts, scatterplots, combined and dual-axis charts, density maps, stacked bars, creating calculated fields, groups, and sets by making use of marks and data panes, adding filters, manual and computed sort, usage of bins, instograms, and more. Sharing Insights: This section covers around 25% of the exam. It includes the addition of worksheets to a dashboard, adding interactive elements and dashboard actions, sharing workbooks, viewing, and export of data, configuring fonts, dashboard layout, and more. Understanding Tableau Concepts: This section carries 15% of the exam weightage. It involves understanding and explaining information dimensions and measures, differences between them, display of discrete and continuous fields, and their disparities, default aggregation for measures and how they change when dimensions are added, and more.
Step-1: Become familiar with the Tableau Desktop Specialist exam objectives clearly and identify your learning requirements. You can try out a study guide or video course on Tableau Desktop Specialist certification. Step-2: Test your skills with free practice test questions and re-check your skill gap in Tableau Desktop Specialist. Step-3: Spend more time on improvising your skills and keep trying the practice tests until you are fully confident enough before taking the actual exam.
Topic-wise Content Distribution Free Test
  • Free Test
  • 15 questions
Practice Tests
  • Practice Test 1
    45 questions
  • Practice Test 2
    45 questions