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Master Spark ecosystem and Scala. Enroll now to learn from a Spark and Scala expert.

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Course Duration

24 Hrs.

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Big Data & Hadoop

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CURRICULUM & PROJECTS

Apache Spark and Scala Training

    This Spark certification training helps you master the essential skills of the Apache Spark open-source framework and Scala programming language, including Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark.

    In this program you will learn:

    • Introduction
    • Scala
    • Using Resilient Distributed Datasets
    • Spark SQL, Data Frames, and Data Sets
    • Running Spark on a cluster
    • Machine Learning with Spark ML
    • Spark Streaming
    • Graph X
    • Overview
    • Kafka Producer
    • Kafka Consumers
    • Kafka Internals
    • Cluster Architecture and Administering Kafka
    • Kafka Monitoring & Kafka Connect
    • Kafka Stream Processing
    • Kafka Integration with Hadoop, Storm, and Spark
    • Kafka Integration with Flume, Talend and Cassandra
    • Career Guidance and Roadmap
    • Introduction
    • PIG Architecture
    • Data Models, Operators, and Streaming in PIG
    • Functions in PIG
    • Advanced Concepts in PIG
    • Hadoop Overview
    • No SQL Databases Hbase
    • Administration in HBASE
    • Troubleshooting in Hbase
    • Troubleshooting in Hbase
    • Troubleshooting in Hbase
    • Apache HBASE Ecosystem
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    Introduction

    • Big Data Overview
    • Apache Hadoop Overview
    • Hadoop Distibution File System
    • Hadoop MapReduce Overview
    • Introduction to IntelliJ and Scala
    • Installing IntelliJ and Scala
    • Apache Spark Overview
    • What’s new in Apache Spark 3
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    Scala

    • Flow control in Scala
    • Functions in Scala
    • Data Structures in Scala
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    Using Resilient Distributed Datasets

    • The Resilient Distributed Dataset
    • Ratings Histogram Example
    • Key/value RDD's and the Average Friends by Age example
    • Filtering RDD's and the Minimun Temperature by Location Example
    • Check Your Results and Implementation Against Min
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    Spark SQL, Data Frames, and Data Sets

    • Introduction to Spark SQL
    • What are Data Frames
    • What are Data Sets
    • Item-Based Collaborative Filtering in Spark, cache (), and persist ()
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    Running Spark on a cluster

    • What is a Cluster
    • Cluster management in Hadoop
    • Introducing Amazing Elastic MapReduce
    • Partitioning Concepts
    • Troubleshooting and managing dependencies
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    Machine Learning with Spark ML

    • Introduction MLLib
    • Using MLLib
    • Linear Regression with MLLib
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    Spark Streaming

    • Spark Streaming
    • The DStream API for Spark Streaming
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    Graph X

    • What is Graph X
    • About Pregel
    • Breadth-First-Search with Pregel
    • Using Pregel API with Spark API
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    Overview

    • Introduction to Big Data
    • Big Data Analytics
    • Need for Kafka
    • What is Kafka
    • Kafka Features
    • Kafka Concepts
    • Kafka Architecture
    • Kafka Components
    • Zookeeper
    • Where is Kafka Used
    • Kafka Installation
    • Kafka Cluster
    • Type of Kafka Clusters
    • Configuring Single Node Single Broker Cluster
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    Kafka Producer

    • Configuring Single Node Multi Broker Cluster
    • Sending a Message to Kafka
    • Producing Keyed and Non-Keyed Messages
    • Sending a Message Synchronously & Asynchronously
    • Configuring Producers
    • Serializers
    • Serializing Using Apache Avro
    • Partitions
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    Kafka Consumers

    • Consumers and Consumer Groups
    • Standalone Consumer
    • Consumer Groups and Partition Rebalance
    • Creating a Kafka Consumer
    • Subscribing to Topics
    • The Poll Loop
    • Configuring Consumers
    • Commits and Offsets
    • Rebalance Listeners
    • Consuming Records With Specific Offsets
    • De-serializers
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    Kafka Internals

    • Cluster Membership
    • The Controller
    • Replication
    • Request Processing
    • Physical Storage
    • Reliability
    • Broker Configuration
    • Using Producers in a Reliable System
    • Using Consumers in a Reliable System
    • Validating System Reliability
    • Performance Tuning in Kafka
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    Cluster Architecture and Administering Kafka

    • Use Cases - Cross-Cluster Mirroring
    • Multi-Cluster Architectures
    • Apache Kafka’s Mirror Maker
    • Other Cross-Cluster Mirroring Solutions
    • Topic Operations
    • Consumer Groups
    • Dynamic Configuration Changes
    • Partition Management
    • Consuming and Producing
    • Unsafe Operations
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    Kafka Monitoring & Kafka Connect

    • Considerations When Building Data Pipelines
    • Metric Basics
    • Kafka Broker Metrics
    • Client Monitoring
    • Lag Monitoring
    • End-to-End Monitoring
    • Kafka Connect
    • When to Use Kafka Connect
    • Kafka Connect Properties
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    Kafka Stream Processing

    • Stream Processing
    • Stream-Processing Concepts
    • Stream-Processing Design Patterns
    • Kafka Streams by Example
    • Kafka Streams: Architecture Overview
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    Kafka Integration with Hadoop, Storm, and Spark

    • Apache Hadoop Basics
    • Hadoop Configuration
    • Kafka Integration with Hadoop
    • Apache Storm Basics
    • Configuration of Storm
    • Integration of Kafka with Storm
    • Apache Spark Basics
    • Spark Configuration
    • Kafka Integration with Spark
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    Kafka Integration with Flume, Talend and Cassandra

    • Flume Basics
    • Integration of Kafka with Flume
    • Cassandra Basics Such as Key Space and Table Creation
    • Integration of Kafka with Cassandra
    • Talend Basics
    • Integration of Kafka with Talend
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    Career Guidance and Roadmap

    • Apache Hadoop Overview
    • Hadoop Distribution File System
    • Hadoop MapReduce Overview
    • Introduction to PIG
    • Prerequisites for Apache PIG
    • Exploring use cases for PIG
    • History of Apache PIG
    • Why you need PIG
    • Significance od PIG
    • PIG over MapReduce
    • When PIG suits the most
    • When to avoid PIG
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    PIG Architecture

    • PIG Latin Language
    • Running PIG in Different Modes
    • PIG Architecture
    • GRUNT Shell
    • PIG Latin Statements
    • Running Pig Scripts
    • Utility Commands
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    Data Models, Operators, and Streaming in PIG

    • PIG Data Model - Scarlar Data Type
    • PIG Data Model - Complex Data Type
    • Arithmetic Operators
    • Comparison Operators
    • Cast Operators
    • Type Construction Operators
    • Relation Operators
    • Loading and Stroing Operators
    • Filtering Operators
    • Filtering Operators- Pig Streaming with Python
    • Grouping and Joining Operators-
    • Sorting Operator
    • Combining and Splitting Operators
    • Diagnostic Operators
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    Functions in PIG

    • Eval Functions
    • Load and Store Funtions
    • Tuple and Bag Functions
    • String Functions
    • Math Function
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    Advanced Concepts in PIG

    • File compression in PIG
    • Intermediate Compression
    • Pig Unit Testing
    • Embedded PIG in JAVA
    • Pig Macros
    • Import Macros
    • Parameter Substitutions
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    Hadoop Overview

    • Course overview
    • Big Data Overview
    • Hadoop Overview
    • HDFS
    • Hadoop Ecosystem
    • What is a Hadoop Framework
    • Type of Hadoop Frameworks
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    No SQL Databases Hbase

    • NoSQL Databases Hbase
    • NoSQL Introduction
    • HBase Overview
    • HBase Architecture
    • Data Model
    • Connecting to HBase
    • HBase Shell
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    Administration in HBASE

    • Introduction
    • Learn and Understand Hbase Fault Tolerance
    • Hardware Recommendations
    • Software Recommendations
    • Hbase Deployment at scale
    • Installation with Cloudera Manager
    • Basic Static Configuration
    • Rolling Restarts and Upgrades
    • Interacting with HBase
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    Troubleshooting in Hbase

    • Introduction
    • Troubleshooting Distributed Clusters
    • Learn How To Use the Hbase UI
    • Learn How To Use the Metrics
    • Learn How To Use the Logs
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    Troubleshooting in Hbase

    • Introduction
    • Generating Load & Load Test Tool
    • Generating With YCSB
    • Region Tuning
    • Table Storage Tuning
    • Memory Tuning
    • Tuning with Failures
    • Tuning for Modern Hardware
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    Apache HBase Operations Continuity

    • Introduction
    • Corruption: hbck
    • Corruption: Other Tools
    • Security
    • Security Demo
    • Snapshots
    • Import Export and copy Paste
    • Cluster Replication
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    Apache HBASE Ecosystem

    • Introduction
    • Hue
    • HBase With Apache Phoenix’
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24 Hrs.
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Weekend2 Hr/Day
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Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
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