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
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9m 49s
- 2. Understanding Data
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10m 26s
- 3. Cluster Basics
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11m 49s
- 4. MapReduce
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9m 35s
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5.1 : Admin Basics11m 18s
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5.2 : Hadoop Components15m 7s
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6.1 : Bash Basic10m 16s
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6.2 : Install Hadoop (User Props And Install Modes)31m 48s
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6.3 : Setting Up SSH15m 47s
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6.4 : Install Preparing Repos22m 3s
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6.5 : Install Apache Server And Capacity Planning11m 15s
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6.6 : Install Ambari Server29m 30s
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7.1 : Web Console Introduction11m 35s
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7.2 : Web Console Ops Racks Hosts34m 9s
- 8.1 : Resource Manager UI
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27m 10s
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9.1 : HDFS User Creation and Permission12m 25s
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9.2 : HDFS Snapshots20m 49s
- 10. High Availability
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9m 40s
- 11. Introduction to Linux Terminal
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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
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15m 7s
Chapter 2: Getting Started with Spark- A General Introduction to Spark
- Getting Started with Spark- A General Introduction to Spark
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13m 19s
Chapter 3: Programming using Spark and Eclipse
- Programming using Spark and Eclipse
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23m 26s
Chapter 4: Resilient Distributed Datasets-RDD
- Resilient Distributed Datasets-RDD
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20m 16s
Chapter 5: Fly with RDDs
- Fly with RDDs
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30m 15s
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6.1 : Key Value Stores/Pair RDDs25m 41s
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6.2 HDPCD Spark – Hands On: Working with Pair RDDs17m 6s
Chapter 7: Loading and Saving Data using Spark
- Loading and Saving Data using Spark
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28m 31s
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8.1 Accumulators and Broadcastors14m 8s
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8.2 HandsOn - Broadcastors and Accumulators by means of an Application15m 8s
Chapter 9: SparkSQL-I – SparkSQL using native FileSystems
- SparkSQL-I – SparkSQL using native FileSystems
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18m 17s
Chapter 10: SparkSQL-II – SparkSQL using Hadoop
- SparkSQL-II – SparkSQL using Hadoop
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27m 46s
Chapter 11: Spark Properties
- Spark Properties
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15m 27s
Chapter 12: HandsOn 1: Getting Started with HDP SandBox
- Getting Started with HDP SandBox
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19m 27s
Chapter 13: HandsOn 2: XML Validator
- First Spark App- XML Validator
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13m 29s
- HandsOn 3 : Persistence and Partitioning
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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
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19m 46s
Chapter 2: Using Oracle Virtual Box
- Using Oracle Virtual Box
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19m 34s
Chapter 3: Using Cloudera Quick-Start VM
- Using Cloudera Quick-Start VM
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20m 30s
Chapter 4: Cloudera Hadoop Installation
- Cloudera Hadoop Installation
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19m
Chapter 5: Working with HDFS
- Working with HDFS
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23m 8s
Chapter 6: Working with YARN
- Working with YARN
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24m 51s
Chapter 7: Installing Sqoop
- Installing Sqoop
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13m 31s
Chapter 8: Ingesting Data Using Sqoop
- Ingesting Data Using Sqoop
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16m 49s
- Working with Hive
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18m 30s
Chapter 10: Using with Pig and Impala
- Using with Pig and Impala
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23m 20s
Chapter 11: Flume & Hadoop REST Services
- Flume & Hadoop REST Services
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23m 17s
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Managing YARN Resources – Part 116m 52s
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Managing YARN Resources – Part 213m 23s
Chapter 13: Cloudera Manager Features
- Cloudera Manager Features
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16m 47s
Chapter 14: Cluster Maintenance Operations
- Cluster Maintenance Operations
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26m 39s
Chapter 15: Planning a Hadoop Cluster
- Planning a Hadoop Cluster
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21m 41s
Chapter 16: Integrating Kerberos with Hadoop
- Integrating Kerberos with Hadoop
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22m 6s
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Advanced Cluster Management – Part 119m 37s
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Advanced Cluster Management – Part 224m 7s
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Advanced Cluster Management – Part 324m 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
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Course Introduction4m 47s
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Kafka Introduction14m 24s
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mesage,batches,partitions5m 40s
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offsets,brokers,cluster4m 56s
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data retention, replication3m 54s
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prodeucer, message keys5m 19s
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consumer, consumer group, offsets4m 1s
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broker discovery, zookeeper2m
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architecture5m 15s
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java-installation5m 4s
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kafka-installation5m 37s
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Starting-kafka5m 16s
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CLI-topics14m
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CLI-producers12m 5s
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CLI-consumers4m 8s
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CLI-consumer-groups20m 39s
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CLI-Reset-offsets5m 48s
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CLI-kafka-tool4m 59s
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APIs-intellijsetup8m 42s
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APIs-Producers21m 31s
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APIs-Consumers20m 50s
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kafa-connect13m 32s
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kafka-streams18m 29s
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kafka-schema registry4m 8s
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Topic configurations8m 12s
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segment and indexes6m 32s
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Producer configuration safe producer6m 17s
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kafka-twittercasestudy-setup-twitterapp7m 18s
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kafka-twittercasestudy-setup-producer18m 40s
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kafka-twittercasestudy-setup-ES consumer24m 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
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Apache Beam32m 2s
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Programming model19m 43s
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Pipeline design18m 25s
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Pipelines in Dataflow18m 38s
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Machine learning example11m 11s
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Real-Time Data Pipelines28m 28s
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Data models and use cases19m 35s
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Demo - setup and run pipelines11m 38s
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Demo - Setup Apache Beam22m 15s
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Demo - Apache Beam with Tensor flow24m 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
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Apache Beam32m 2s
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Programming model19m 43s
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Pipeline design18m 25s
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Pipelines in Dataflow18m 38s
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Machine learning example11m 11s
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Real-Time Data Pipelines28m 28s
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Data models and use cases19m 35s
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Demo - setup and run pipelines11m 38s
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Demo - Setup Apache Beam22m 15s
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Demo - Apache Beam with Tensor flow24m 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
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Introduction20m 6s
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Administration24m 42s
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Data Sources28m 44s
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Forwarder10m 26s
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Indexer11m 35s
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Knowledge Objects26m 44s
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Metrics 120m 29s
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Metrics 216m 58s
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Search22m 47s
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Visualization6m 16s
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Demo Install Setup Configure Input11m 21s
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Demo Basic Search Authentication Environment20m 25s
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Demo Advanced Search13m 31s
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Demo Reports Dashboards Alerts7m 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
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Introduction I14m 59s
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Introduction II18m 25s
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Tableau I14m 59s
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Tableau II18m 25s
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Data Sources17m 17s
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Calculations18m 53s
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Visualizations18m 32s
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Publishing18m 30s
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Administration I18m 39s
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Administration II12m
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Demo Setup and Introduction17m 6s
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Demo Visualization17m 44s
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Demo Calculations8m 46s
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Demo Calculations II8m 50s
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Best Practices for Building Tableau Dashboard21m 44s
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Demo Tableau Server on GCP18m 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
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Databases and SQL29m 4s
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SQL commands basic29m 58s
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SQL commands advanced22m 34s
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Data Analysis with SQL36m 17s
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Demo setup12m 36s
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Demo SQL Commands26m 27s
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Demo advanced commands29m 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
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15 questions
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Practice Test 165 questions
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Practice Test 265 questions
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Practice Test 365 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
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Course Introduction10m 31s
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Data sets3m 2s
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big data and hadoop introduction3m 45s
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What is Big Data4m 55s
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What is Hadoop3m 52s
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Hadoop echosystem3m 30s
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Architecture of Hadoop & Control files6m 53s
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HDFS architecture/blocks and splits/replication15m 1s
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Read and Write anatomy5m 37s
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Limitations of Classic hadoop /architecture of Yarn and workflow8m 35s
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Settig Up CDH 6 cluster on VM32m 22s
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Settig Up CDH 6 cluster on AWS22m 34s
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set up putty and Winscp6m 1s
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HDFS commands12m 7s
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Data injetion techniques part115m 19s
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Data injetion techniques part23m 45s
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Introduction to Hive architecture & data model9m 22s
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Hive environment8m 4s
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Hive tables2m 48s
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Hive file format and compression techniques.5m 37s
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Creating Hive databases4m 45s
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Creating Hive tables13m 46s
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Loading hive tables with or without location8m 12s
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Loding Hive tables with different file formats6m 50s
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Loding Hive tables with Jason and XML11m 54s
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altering hive tables and hive views10m 12s
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Introduction to scala3m 43s
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scala environment setup on Linux and Windows8m 43s
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Basic programming construct12m 38s
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scala functional programming concept -part19m 53s
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scala functional programming concept-part216m 9s
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scala object oriented concepts- class, objects, getter,setter13m 14s
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constructors primary7m 48s
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constructors auxiliary8m 45s
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singleton objects6m 41s
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companion class5m 28s
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case class5m 30s
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inheritance - single inheritance9m 24s
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traits-- multiple inheritance12m 43s
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scala collections Arrays9m 25s
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scala collections lists7m 41s
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scala collections tuples3m 15s
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scala collections sets4m 58s
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scala collections maps7m 58s
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Basic map reduce operations on collection8m 3s
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scala i/o operations using scla collections10m 2s
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setting up sbt on Linux and windows6m 29s
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Scala development life cycle13m 4s
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Introduction to spark10m 29s
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starting spark shell11m 34s
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RDDs basics and creating RDDs part18m 45s
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RDDs basics and creating RDDs part28m 45s
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RDD transformations & actions--string manipulations12m 8s
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RDD transformations & actions--row level transformations using map and flatMap11m 22s
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RDD transformations & actions-filter10m 28s
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RDD transformations & actions- Inner Joins7m 59s
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RDD transformations & actions- Outer Joins13m 38s
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RDD transformations & actions- aggregation using countByKey and reduce9m 22s
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RDD transformations & actions- Sorting9m 45s
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RDD transformations & actions- Set Operations11m 26s
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Saving output using the text format8m 6s
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Saving output using the text format using compression4m 40s
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sample solution -loading rdds4m 22s
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sample solution -intermediate solution13m 10s
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sample solution - final solution12m 42s
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sample solution -saving solution on hdfs5m 10s
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spark application lifecycle13m 13s
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Introduction5m 10s
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staring spark context5m 12s
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spark read APIs13m 38s
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Spark dataframes functions -special functions col & lit13m 31s
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Spark dataframes functions -string manipulation -19m 42s
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Spark dataframes functions -string manipulation -28m 29s
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Spark dataframes functions -date functions -111m 16s
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Spark dataframes functions -date functions -212m 19s
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Dataframes transformations filter14m 27s
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Dataframes transformations aggregations7m 14s
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Dataframes transformations sorting3m 47s
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Dataframes transformations joins14m 50s
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spark write APIs12m 42s
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SparkSQL introduction and getting started10m 46s
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working with spark sql prompt11m 20s
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Spark SQl DDL8m 27s
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Spark SQl DML13m
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Spark SQl file formats9m 23s
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Spark SQL partitioning static17m 52s
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Spark SQL partitioning dynamic7m 51s
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Spark SQL Basic transformations projection6m 38s
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Spark SQL Basic transformations filtering8m 21s
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Spark SQL Basic transformations joins13m 17s
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Spark SQL Basic transformations aggregation11m 1s
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Spark SQL Basic transformations sorting4m 58s
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Spark SQL builtin functions- Introduction5m 29s
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Spark SQL builtin functions- string manipulation9m 50s
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Spark SQL builtin functions- Date manipulation14m 17s
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Spark SQL builtin functions- Numeric and data type conversion7m 20s
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Spark SQL builtin functions- null handling and case/when6m 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 Test 160 questions
-
Practice Test 260 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
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TensorFlow: Introduction22m 53s
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TensorFlow: Building models19m 23s
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TensorFlow : Analysis and Deployment14m 23s
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TFLearn16m 43s
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TensorFlow Python11m 22s
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Linear Regression20m 34s
-
Artificial Intelligence: Introduction8m 37s
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Artificial Intelligence: Machine Learning18m 44s
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Neural networks: Introduction10m 37s
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Neural networks: Deep learning19m 54s
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Perceptrons: Introduction18m 59s
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Perceptrons: MLP22m 5s
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demo linear regression7m 52s
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demo AND XOR gates6m 47s
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demo Install3m 20s
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demo TF Perceptron 111m 36s
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demo TF Perceptron 210m 26s
-
demo TensorBoard114m 47s
-
demo TensorBoard27m 36s
-
Demo RNN11m 58s
-
Demo CNN14m 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 Test 145 questions
-
Practice Test 245 questions