Cloudera Developer for Spark and Hadoop Training in Bahrain

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 4 Days
  • Price: Please contact for booking options
  • Upcoming Date:
  • UK & Türkiye Based Training Provider

This hands-on training course delivers the key concepts and expertise participants need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques. Employing Hadoop ecosystem projects such as Spark (including Spark Streaming and Spark SQL), Flume, Kafka, and Sqoop, this training course is the best preparation for the real-world challenges faced by Hadoop developers. With Spark, developers can write sophisticated parallel applications to execute faster decisions, better decisions, and interactive actions, applied to a wide variety of use cases, architectures, and industries.

We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

There are no prerequisites for this course.

Who Should Attend

  • This course is designed for developers and engineers who have programming experience, but prior knowledge of Hadoop is not required
  • Apache Spark examples and hands-on exercises are presented in Scala and Python. The ability to program in one of those languages is required
  • Basic familiarity with the Linux command line is assumed
  • Basic knowledge of SQL is helpful

What You Will Learn

  • Through expert-led discussion and interactive, hands-on exercises, participants will learn how to:
  • Distribute, store, and process data in a Hadoop cluster
  • Write, configure, and deploy Apache Spark applications on a Hadoop cluster
  • Use the Spark shell for interactive data analysis
  • Process and query structured data using Spark SQL
  • Use Spark Streaming to process a live data stream
  • Use Flume and Kafka to ingest data for Spark Streaming

Training Outline

Introduction

Introduction to Apache Hadoop and the Hadoop Ecosystem

  • Apache Hadoop Overview
  • Data Storage and Ingest
  • Data Processing
  • Data Analysis and Exploration
  • Other Ecosystem Tools
  • Introduction to the Hands-On Exercises
  • Apache Hadoop File Storage
  • Problems with Traditional

Large-Scale Systems

  • HDFS Architecture
  • Using HDFS
  • Apache Hadoop File Formats

Data Processing on an Apache Hadoop Cluster

  • YARN Architecture
  • Working With YARN

Importing Relational Data with Apache Sqoop

  • Apache Sqoop Overview
  • Importing Data
  • Importing File Options
  • Exporting Data

Apache Spark Basics

  • What is Apache Spark?
  • Using the Spark Shell
  • RDDs (Resilient Distributed Datasets)
  • Functional Programming in Spark

Working with RDDs

  • Creating RDDs
  • Other General RDD Operations

Aggregating Data with Pair RDDs

  • Key-Value Pair RDDs
  • Map-Reduce
  • Other Pair RDD Operations

Writing and Running Apache Spark Applications

  • Spark Applications vs. Spark Shell
  • Creating the SparkContext
  • Building a Spark Application

(Scala and Java)

  • Running a Spark Application
  • The Spark Application Web UI

Configuring Apache Spark Applications

  • Configuring Spark Properties
  • Logging

Parallel Processing in Apache Spark

  • Review: Apache Spark on a Cluster
  • RDD Partitions
  • Partitioning of File-Based RDDs
  • HDFS and Data Locality
  • Executing Parallel Operations
  • Stages and Tasks

RDD Persistence

  • RDD Lineage
  • RDD Persistence Overview
  • Distributed Persistence

Common Patterns in Apache Spark

Data Processing

  • Common Apache Spark Use Cases
  • Iterative Algorithms in Apache Spark
  • Machine Learning
  • Example: k-means

DataFrames and Spark SQL

  • Apache Spark SQL and the SQL Context
  • Creating DataFrames
  • Transforming and Querying DataFrames
  • Saving DataFrames
  • DataFrames and RDDs
  • Comparing Apache Spark SQL, Impala, and Hive-on-Spark
  • Apache Spark SQL in Spark 2.x

Message Processing with Apache Kafka

  • What is Apache Kafka?
  • Apache Kafka Overview
  • Scaling Apache Kafka
  • Apache Kafka Cluster Architecture
  • Apache Kafka Command Line Tools

Capturing Data with Apache Flume

  • What is Apache Flume?
  • Basic Flume Architecture
  • Flume Sources
  • Flume Sinks
  • Flume Channels
  • Flume Configuration

Integrating Apache Flume and Apache Kafka

  • Overview
  • Use Cases
  • Configuration

Apache Spark Streaming:

Introduction to DStreams

  • Apache Spark Streaming Overview
  • Example: Streaming Request Count
  • DStreams
  • Developing Streaming Applications

Apache Spark Streaming:

Processing Multiple Batches

  • Multi-Batch Operations
  • Time Slicing
  • State Operations
  • Sliding Window Operations

Apache Spark Streaming: Data Sources

  • Streaming Data Source Overview
  • Apache Flume and Apache Kafka

Data Sources

  • Example: Using a Kafka Direct Data Source

Conclusion

Why Choose Us

Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Cloudera Developer for Spark and Hadoop Training in Bahrain. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.

  • Live Sessions: Join scheduled classes with a live instructor and other delegates in real-time.
  • Interactive Experience: Engage in group activities, hands-on labs, and direct Q&A sessions with your trainer and peers.
  • Global Expert Trainers: Learn from a handpicked global pool of expert trainers with deep industry experience.
  • Proven Expertise: Benefit from over 30 years of quality training experience, equipping you with lasting skills for success.
  • Scalable Delivery: Accessible worldwide, including Bahrain, with flexible scheduling to meet your professional needs.

Immerse yourself in our most sought-after learning style for Cloudera Developer for Spark and Hadoop Training in Bahrain. Our hand-picked classroom venues in Bahrain offer an invaluable human touch, providing a focused and interactive environment for professional growth.

  • Highly Experienced Trainers: Boost your skills with trainers boasting 10-20+ years of real-world experience.
  • State-of-the-Art Venues: Learn in high-standard facilities designed to ensure a comfortable and distraction-free experience.
  • Small Class Sizes: Our limited class sizes foster meaningful discussions and a personalized learning journey.
  • Best Value: Achieve your certification with high-quality training and competitive pricing.

Streamline your organization's training requirements with Bilginç IT Academy’s Onsite Cloudera Developer for Spark and Hadoop Training in Bahrain. Experience expert-led learning at your own business premises, tailored to your corporate goals.

  • Tailored Learning Experience: Customize the training content to fit your unique business projects or specific technical needs.
  • Maximize Training Budget: Eliminate travel and accommodation costs, focusing your entire budget on the training itself.
  • Team Building Opportunity: Enhance team bonding and collaboration through shared learning experiences in your workspace.
  • Progress Monitoring: Track and evaluate your employees' progression and performance with relative ease and direct oversight.
Contact us for more detail about our trainings and for all other enquiries!

Cloudera Developer for Spark and Hadoop Training Course in Bahrain Schedule

Join our public courses in our Bahrain facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
16 April 2026 (4 Days)
Manama
13 May 2026 (4 Days)
Manama
01 June 2026 (4 Days)
Manama
11 June 2026 (4 Days)
Manama
16 June 2026 (4 Days)
Manama
05 July 2026 (4 Days)
Manama
08 August 2026 (4 Days)
Manama
09 August 2026 (4 Days)
Manama

Bahrain has positioned itself as the pioneering fintech and cloud capital of the Middle East, with Manama hosting the region’s first dedicated fintech hub, Bahrain FinTech Bay. As the first country in the region to adopt a 'Cloud First' policy, Bahrain has attracted global giants like AWS to establish massive data center infrastructures on its shores. The University of Bahrain and various national initiatives are focused on cultivating a workforce that is highly proficient in blockchain, open banking, and cybersecurity. Our IT education services in Bahrain are tailored to this innovation-driven market, offering advanced curriculum in Cloud Engineering, DevOps, and Information Security. We empower professionals in the Kingdom to take the lead in a digital-first economy that consistently sets the benchmark for regulatory technology and financial innovation across the Gulf.

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