Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Apache Spark Essential Training

Course Code: C363
  • HRDF

What's This Course About

Dive into the expansive realm of Apache Spark through our meticulously crafted training module, designed to offer both novices and experts a comprehensive understanding of this revolutionary data processing engine. Begin your learning journey with an in-depth overview of Apache Spark, understanding its significance in the fast-paced world of big data. Get acquainted with its integral components and delve into the capabilities of Databricks – a powerful platform enhancing the functionality of Spark. Master the art of interfacing with data, ensuring seamless data ingestion by importing files efficiently.

Further, elevate your data science prowess as you explore the functionalities of Spark ML, an integral tool for implementing machine learning algorithms on vast datasets. Complement this with the mastery of Spark SQL, empowering you to efficiently query streaming data, providing real-time insights that drive business decisions. By the end of this course, you will be well-equipped with the skills and knowledge to harness the full potential of Apache Spark, positioning you at the forefront of big data and analytics.

WSQ Funding

Full Fee 1,050.00 Before GST
GST 94.50 9% of fee
Baseline Nett 619.50 SG/PR age 21+ · 50% funded
MCES / SME Nett 409.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course.

Course Fee

MYR1,050.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Overview of Apache Spark

Understanding Apache Spark

History of Apache Spark

Apache Spark Architecture

Install Apache Spark on Local Computers

Databricks

Topic 2: Exploring Data

Data Interface

RDD Basic Operations

Import Data

Actions and Transformations

Saving Results

Topic 3: Analyzing Data

Select and FIlter Data

Aggregate Data

Save Data

Topic 4: SparkSQL

Creating Tables

Querying Data

Visualizing Data

Topic 5: Machine Learning

ML or MLlib Module

Preprocessing Data

Linear Regression

Classification

Topic 6: Spark Streaming

Streaming Setup

Querying Streaming Data

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Download and unzip Apache Spark https://spark.apache.org/downloads.html.

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • Data Scientist
  • Big Data Engineer
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Developer
  • Research Analyst
  • Software Engineer
  • Back-end Developer
  • Data Architect
  • Full Stack Developer
  • System Analyst
  • Cloud Architect
  • IT Manager
  • Database Administrator
  • DevOps Engineer

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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