Through instructor-led Apache Spark training courses, available both online and onsite, participants learn via hands-on practice how Spark integrates into the Big Data ecosystem and how to leverage it for data analysis.
Apache Spark training is offered in two formats: "online live training" or "onsite live training." Online live training (also known as "remote live training") is conducted using an interactive remote desktop. For onsite live training, sessions can take place locally at the customer’s premises in Abu Dhabi or at NobleProg’s corporate training centers in Abu Dhabi.
NobleProg -- Your Local Training Provider
Park Rotana Complex
2, Butti Biltahina Al Muhairi St, Abu Dhabi, United Arab Emirates
Situated within the Park Complex and adjacent to TwoFour54 and Khalifa Park. Park Rotana is 15 minutes drive from Abu Dhabi International Airport and Yas Island.
Driving directions from Abu Dhabi International Airport:
Drive towards Abu Dhabi by highway No. E 10, Keep driving straight after passing the “Al Raha mall”. Follow the signage “Sheikh Zayed Bridge” to drive through the bridge, Keep in the right lane when you finish the bridge. You are now driving on “Salam / Eastern” road. Take the exit “Khalifa Park & Ministries Complex” from extreme right lane to make a “U turn” over the underpass, Follow the signal “Park Rotana Complex” and take right to the roundabout. After it, turn left in the roundabout and drive straight until you reach Park Rotana.
Radisson Blu Hotel & Resort
2, Corniche St, Abu Dhabi, United Arab Emirates
Our location provides a memorable setting for both business and social events near local attractions and beaches on the Arabian Gulf. Rely on Radisson Blu to deliver a flawless meeting experience incorporating elements like audiovisual equipment and customized menus, as well as free Wi-Fi. Our stunning ballroom (with adjoining terrace) is divisible into three separate areas with private entrances for a truly impressive events space
This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.
By the end of this training, participants will be able to:
Set up a big data environment using Google Colab and Spark.
Process and analyze large datasets efficiently with Apache Spark.
Visualize big data in a collaborative environment.
Stratio serves as a comprehensive, data-centric platform that unifies big data, artificial intelligence, and governance into a single solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics within enterprise settings.
This instructor-led live training (available online or on-site) targets intermediate-level data professionals aiming to leverage the Rocket and Intelligence modules in Stratio effectively with PySpark. The curriculum focuses on looping structures, user-defined functions, and advanced data logic.
Upon completion of this training, participants will be capable of:
Navigating and operating within the Stratio platform using the Rocket and Intelligence modules.
Applying PySpark for data ingestion, transformation, and analysis.
Utilizing loops and conditional logic to manage data workflows and feature engineering tasks.
Creating and managing user-defined functions (UDFs) for reusable data operations in PySpark.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical sessions.
Hands-on implementation in a live lab environment.
Customization Options
To request customized training for this course, please contact us to make arrangements.
This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at developers who wish to use and integrate Spark, Hadoop, and Python to process, analyze, and transform large and complex data sets.
By the end of this training, participants will be able to:
Set up the necessary environment to start processing big data with Spark, Hadoop, and Python.
Understand the features, core components, and architecture of Spark and Hadoop.
Learn how to integrate Spark, Hadoop, and Python for big data processing.
Explore the tools in the Spark ecosystem (Spark MLlib, Spark Streaming, Kafka, Sqoop, Kafka, and Flume).
Build collaborative filtering recommendation systems similar to Netflix, YouTube, Amazon, Spotify, and Google.
Use Apache Mahout to scale machine learning algorithms.
This instructor-led live training in Abu Dhabi (online or onsite) is designed for system administrators at the beginner to intermediate level who wish to deploy, maintain, and optimize Spark clusters.
By the end of this training, participants will be able to:
Install and configure Apache Spark in various environments.
Manage cluster resources and monitor Spark applications.
Optimize the performance of Spark clusters.
Implement security measures and ensure high availability.
In this instructor-led, live training in Abu Dhabi, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.
By the end of this training, participants will be able to:
Learn how to use Spark with Python to analyze Big Data.
Work on exercises that mimic real world cases.
Use different tools and techniques for big data analysis using PySpark.
This training offers a hands-on introduction to constructing scalable data processing and Machine Learning workflows using PySpark. Participants will gain insights into how Apache Spark functions within contemporary Big Data ecosystems and learn to process large datasets efficiently by leveraging distributed computing principles.
This instructor-led, live training in Abu Dhabi (online or onsite) is aimed at engineers who wish to set up and deploy an Apache Spark system for processing very large amounts of data.
By the end of this training, participants will be able to:
Install and configure Apache Spark.
Quickly process and analyze very large data sets.
Understand the difference between Apache Spark and Hadoop MapReduce and when to use which.
Integrate Apache Spark with other machine learning tools.
The learning curve for Apache Spark can be steep initially, often requiring significant effort before yielding tangible results. This course is designed to help you navigate that challenging early phase. By the end of the course, participants will grasp the fundamentals of Apache Spark, clearly distinguish between RDDs and DataFrames, and gain proficiency in both Python and Scala APIs. Learners will also develop a solid understanding of executors, tasks, and other core concepts. Aligning with industry best practices, the curriculum places a strong emphasis on cloud deployment, specifically focusing on Databricks and AWS. Additionally, students will learn to differentiate between AWS EMR and AWS Glue, highlighting one of AWS's most recent Spark-related services.
AUDIENCE:
Data Engineers, DevOps Professionals, Data Scientists
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Testimonials (3)
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
Course - Python and Spark for Big Data (PySpark)
The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.
Raul Mihail Rat - Accenture Industrial SS
Course - Python, Spark, and Hadoop for Big Data
Having hands on session / assignments
Poornima Chenthamarakshan - Intelligent Medical Objects
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