Hadoop Training Course With Impala in Hong Kong

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Hadoop Training Course with Impala

Hong Kong

Understand how to install Impala with and without Cloudera Manager.
Gain knowledge of Impala administration and security.
Learn how to troubleshoot various Impala issues.

Dates & Prices Dates & Prices

Course information

Hadoop Training Course with Impala Outline

Module 1: Introduction to Big Data and Hadoop

What is Big Data?
Characteristics and Challenges of Big Data
Understanding Hadoop as a Big Data Solution
Hadoop Ecosystem Overview

Module 2: Hadoop Distributed File System (HDFS)

Introduction to HDFS
HDFS Architecture
File Storage and Replication
Data Ingestion into HDFS
Managing Data in HDFS

Module 3: Hadoop MapReduce

MapReduce Basics
MapReduce Workflow
Writing and Running MapReduce Jobs
Hadoop Streaming and Custom MapReduce
MapReduce Optimisation Techniques

Module 4: Hive - Data Warehousing and Querying

Introduction to Hive
Hive Data Model and Schema Design
Hive Query Language (HQL)
Managing Tables and Databases in Hive
Hive UDFs and Custom Functions

Module 5: Pig - Data Flow and Scripting

Introduction to Pig
Pig Latin Language
Loading, Transforming, and Storing Data with Pig
Pig UDFs and User-Defined Functions

Module 6: Introduction to Impala

What is Impala?

Impala Vs Hive and Pig
Impala Architecture
Interactive Querying with Impala
Supported Data Formats and Sources

Module 7: Impala Querying Basics

Writing and Running Impala Queries
SQL Syntax in Impala
Query Optimisation in Impala
Working with Tables and Views
Impala Performance Tuning

Module 8: Advanced Impala Optimisation

Impala Data Types and Functions
Complex Queries and Aggregations
Impala Partitioning and Clustering
Impala Security and Access Control
Integrating Impala with Other Hadoop Components

Module 9: Data Ingestion and ETL with Hadoop

Data Ingestion Strategies
ETL (Extract, Transform, Load) Processes with Hadoop
Using Apache Nifi for Data Ingestion
Working with Hadoop's Ecosystem Tools
Real-time Data Processing with Hadoop and Impala

Module 10: Machine Learning with Hadoop and Impala

Introduction to Machine Learning and Data Science
Machine Learning Libraries in Hadoop
Building and Training Machine Learning Models
Deploying Machine Learning Models with Impala

Module 11: Data Visualisation and Reporting

Data Visualisation Tools for Hadoop
Creating Interactive Dashboards
Reporting and Analytics in Hadoop
Integrating Impala with BI Tools
Building Data Reports and Dashboards

Module 12: Hadoop Security and Optimisation

YARN (Yet Another Resource Negotiator)
Resource Management
Hadoop Security
Hadoop Cluster Optimisation
Hadoop High Availability and Disaster Recovery
Hadoop and Cloud Integration

Who should attend this Hadoop Training Course with Impala?

The Hadoop Training Course with Impala is a specialised course designed to teach the fundamentals of Hadoop and Impala, two powerful tools in the Big Data ecosystem. The following are some of the professionals who can benefit from this course:

Data Analysts
Software Developers
Database Administrators
Business Analysts
System Administrators
Data Scientists
Project Managers
Quality Analysts

Prerequisites of the Hadoop Training Course with Impala

There are no formal prerequisites for this Hadoop Training Course with Impala. However, a basic understanding of data analysis would be beneficial for the delegates.

Hadoop Training Course with Impala Overview

Mastering Hadoop and Impala has become indispensable for professionals aiming to thrive in data-centric industries. This comprehensive training course delves into the heart of Hadoop and Impala technologies, unravelling their significance in handling vast datasets efficiently. With the explosion of data, businesses seek experts who can harness these tools, making this training more pertinent than ever.

Proficiency in Hadoop and Impala is paramount for data engineers, analysts, and IT professionals striving for excellence in data processing. Organisations depend on these technologies to gain actionable insights. Mastering Hadoop and Impala empowers professionals to navigate complex data landscapes, making them indispensable assets for any data-driven enterprise.

This intensive 2-day training equips delegates with hands-on experience in Hadoop and Impala, enhancing their ability to process, analyse, and interpret vast datasets efficiently. Through interactive sessions and real-world examples, delegates learn to optimise queries, troubleshoot issues, and design robust data processing pipelines, ensuring they are well-prepared for the challenges.

Course Objectives:

To master the techniques for processing large datasets using Hadoop
To develop advanced skills in Impala for high-speed data querying
To gain hands-on experience in Hadoop ecosystem components like HDFS and MapReduce
To learn to optimise Impala queries for improved performance
To explore data ingestion and storage strategies in Hadoop
To understand security and data governance best practices

After completing this course, delegates receive a certification validating their expertise in Hadoop and Impala technologies. This certification not only demonstrates their proficiency but also opens doors to a plethora of opportunities in data engineering, analytics, and business intelligence.

What’s included in this Hadoop Training Course with Impala?

World-Class Training Sessions from Experienced Instructors
Hadoop Training Course with Impala Certificate
Digital Delegate Pack

Why choose us

Our Hong Kong venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Hong Kong is an autonomous territory of the People’s Republic of China and can be located on the southern coast of China. Hong Kong has a population of around 7 million people. The education system in Hong Kong is mostly based around the English system and it is overseen by the Education Bureau and the Social Welfare Department. One of the earliest schools in Hong Kong was Li Ying College established in 1075. The education level begins with preschool education that is payable education, paid by pupil’s parents. The primary and secondary education is mandatory for every child in Hong Kong to attend from the age of 6 to 18. Higher education remains exclusive in Hong Kong and adult education is a growing sector in Hong Kong, with two non-profit school running evening courses. The University of Hong Kong was founded in 1911 and is the oldest tertiary (higher education) institution in Hong Kong and is organised into 10 academic faculties with English as the main language of instruction. The Education Bureau in Hong Kong also provides educational services for immigrant children from mainland China and other countries. Hong Kong also has 175 internal schools.

Address

62/F & 66/F
The Center
99 Queens Road
Central
Hong Kong

T: +852 2592 5349

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Hadoop Training Course With Impala in Hong Kong. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Learn more in our FAQs

Unlock your potential with The Knowledge Academy's Hadoop Training Course With Impala in Hong Kong, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Learn more in our FAQs

What our customers are saying

Hadoop Training Course With Impala in Hong Kong FAQs

What time shall I arrive at the venue?

Please arrive at the venue at 8:45am.

What are the prerequisites?

No prerequisites are required for this course. However, basic knowledge of the principles of programming is advantageous.

Who should attend this course?

Anyone who wishes to gain expertise in Impala can attend this course. This course is ideal for: Analysts and Data Scientists SQL Developers Hadoop Administrators and Developers Database Administrators Data Warehouse Developers

Do you offer support for the course?

We are able to provide support via phone & email prior to attending, during and after the course.

What is included in the course?

Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments

What is the duration of this course?

This course is 2 days.

How long until I receive the course confirmation details?

Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts

What is the cost/training fees for Hadoop Training Course with Impala in Hong Kong?

The training fees for Hadoop Training Course with Impalain Hong Kong starts from HKD17495

Which is the best training institute/provider of Hadoop Training Course with Impala in Hong Kong?

The Knowledge Academy is the Leading global training provider for Hadoop Training Course with Impala.

What are the best Big Data and Analytics Training courses in Hong Kong?

Please see our Big Data and Analytics Training courses available in Hong Kong

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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