Online or onsite, instructor-led live Apache Spark training courses demonstrate through hands-on practice how Spark fits into the Big Data ecosystem, and how to use Spark for data analysis.
Apache Spark training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Apache Spark training can be carried out locally on customer premises in Cairo or in NobleProg corporate training centers in Cairo.
NobleProg -- Your Local Training Provider
Regus - Cairo Nile City Towers
North Tower, Nile City Towers, Cairo, egypt, 11624
Cornich El Nile, Ramelt Beaulac, North Tower, Nile City Towers, 22nd Floor, Cairo, 11624
The Nile City Towers Centre provides office space on the 22nd and 23rd floors of one of the most prestigious business addresses in the Egyptian capital next to the Nile.
Nile City Towers Center's facilities include video-conferencing and hotels and restaurants are close by. There is easy access by car and public transport. The city is served by an international airport.
Cairo - Four Seasons Hotel
1089 Corniche El Nil, Cairo, egypt
In the heart of Cairo on the banks of the River Nile, our Hotel opens the door to discovering Egypt’s 5,000-year-old ancient mysteries. Just a short drive away, set out to explore the majestic pyramids, the 1,000-year old market, the 12th-century citadel and the ancient Egyptian museum. Later, experience Cairo’s breathtaking sunset from the Nile on a traditional felucca, dine at our nine acclaimed restaurants, relive the pharaoh’s beauty secrets at the Spa or simply take an art tour to see the collection of contemporary local artwork that fills our halls.
Facilities: State-of-the-art audiovisual system
Motorized drop-down screens
Remote-controlled lighting
Wired or wireless high-speed e-mail and internet access
Cairo - Le Méridien Heliopolis
51 El Orouba Street, Cairo, egypt, 11341
Cairo International Airport (CAI)
Hotel direction: 5.0 miles E
Airport shuttle service, reservation required, complimentary
24 Hours, 7 days a week
Shuttle Phone: +20 2 22905055 Ext 0
Alternate transportation: General Authority For Roads; fee: 0.45 USD (one way) ;scheduled
Estimated taxi fare: 8 USD (one way)
Visit CAI airport website
Driving directions
Take Airport Rd and El-Orouba Continue a head ; Drive to al Galla bridge then straight until you find on your right hand Mobile station then U TUREN DRIVE A Head THEN here is the hotel on the right hand.
For any close bus station please note Almaza Bus Station
1.2 miles N from hotel
This instructor-led, live training in Cairo (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 is a data-centric platform that integrates big data, AI, and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics in enterprise environments.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to use the Rocket and Intelligence modules in Stratio effectively with PySpark, focusing on looping structures, user-defined functions, and advanced data logic.
By the end of this training, participants will be able to:
Navigate and work within the Stratio platform using Rocket and Intelligence modules.
Apply PySpark in the context of data ingestion, transformation, and analysis.
Use loops and conditional logic to control data workflows and feature engineering tasks.
Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Cairo (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 Cairo (online or onsite) is aimed at beginner-level to intermediate-level system administrators 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 Cairo, 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.
Big data analytics involves the process of examining large amounts of varied data sets in order to uncover correlations, hidden patterns, and other useful insights.
The health industry has massive amounts of complex heterogeneous medical and clinical data. Applying big data analytics on health data presents huge potential in deriving insights for improving delivery of healthcare. However, the enormity of these datasets poses great challenges in analyses and practical applications to a clinical environment.
In this instructor-led, live training (remote), participants will learn how to perform big data analytics in health as they step through a series of hands-on live-lab exercises.
By the end of this training, participants will be able to:
Install and configure big data analytics tools such as Hadoop MapReduce and Spark
Understand the characteristics of medical data
Apply big data techniques to deal with medical data
Study big data systems and algorithms in the context of health applications
Audience
Developers
Data Scientists
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice.
Note
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Cairo (online or onsite) is aimed at system administrators who wish to learn how to set up, deploy and manage Hadoop clusters within their organization.
By the end of this training, participants will be able to:
Install and configure Apache Hadoop.
Understand the four major components in the Hadoop ecoystem: HDFS, MapReduce, YARN, and Hadoop Common.
Use Hadoop Distributed File System (HDFS) to scale a cluster to hundreds or thousands of nodes.
Set up HDFS to operate as storage engine for on-premise Spark deployments.
Set up Spark to access alternative storage solutions such as Amazon S3 and NoSQL database systems such as Redis, Elasticsearch, Couchbase, Aerospike, etc.
Carry out administrative tasks such as provisioning, management, monitoring and securing an Apache Hadoop cluster.
In this instructor-led, live training in Cairo (onsite or remote), participants will learn how to set up and integrate different Stream Processing frameworks with existing big data storage systems and related software applications and microservices.
By the end of this training, participants will be able to:
Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
Understand and select the most appropriate framework for the job.
Process of data continuously, concurrently, and in a record-by-record fashion.
Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc.
Integrate the most appropriate stream processing library with enterprise applications and microservices.
This instructor-led, live training in Cairo (online or onsite) is aimed at data scientists who wish to use the SMACK stack to build data processing platforms for big data solutions.
By the end of this training, participants will be able to:
Implement a data pipeline architecture for processing big data.
Develop a cluster infrastructure with Apache Mesos and Docker.
This instructor-led, live training in Cairo (online or onsite) is aimed at engineers who wish to set up and deploy 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.
Apache Spark's learning curve is slowly increasing at the begining, it needs a lot of effort to get the first return. This course aims to jump through the first tough part. After taking this course the participants will understand the basics of Apache Spark , they will clearly differentiate RDD from DataFrame, they will learn Python and Scala API, they will understand executors and tasks, etc. Also following the best practices, this course strongly focuses on cloud deployment, Databricks and AWS. The students will also understand the differences between AWS EMR and AWS Glue, one of the lastest Spark service of AWS.
This course will introduce Apache Spark. The students will learn how Spark fits into the Big Data ecosystem, and how to use Spark for data analysis. The course covers Spark shell for interactive data analysis, Spark internals, Spark APIs, Spark SQL, Spark streaming, and machine learning and graphX.
This instructor-led, live training in Cairo (online or onsite) is aimed at data scientists and developers who wish to use Spark NLP, built on top of Apache Spark, to develop, implement, and scale natural language text processing models and pipelines.
By the end of this training, participants will be able to:
Set up the necessary development environment to start building NLP pipelines with Spark NLP.
Understand the features, architecture, and benefits of using Spark NLP.
Use the pre-trained models available in Spark NLP to implement text processing.
Learn how to build, train, and scale Spark NLP models for production-grade projects.
Apply classification, inference, and sentiment analysis on real-world use cases (clinical data, customer behavior insights, etc.).
Spark SQL is Apache Spark's module for working with structured and unstructured data. Spark SQL provides information about the structure of the data as well as the computation being performed. This information can be used to perform optimizations. Two common uses for Spark SQL are:
- to execute SQL queries.
- to read data from an existing Hive installation.
In this instructor-led, live training (onsite or remote), participants will learn how to analyze various types of data sets using Spark SQL.
By the end of this training, participants will be able to:
Install and configure Spark SQL.
Perform data analysis using Spark SQL.
Query data sets in different formats.
Visualize data and query results.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
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Testimonials (7)
The live examples
Ahmet Bolat - Accenture Industrial SS
Course - Python, Spark, and Hadoop for Big Data
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
Get to learn spark streaming , databricks and aws redshift
Lim Meng Tee - Jobstreet.com Shared Services Sdn. Bhd.
Course - Apache Spark in the Cloud
practice tasks
Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo
Course - Python and Spark for Big Data (PySpark)
The VM I liked very much
The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly
I liked the facility in Dubai.
Safar Alqahtani - Elm Information Security
Course - Big Data Analytics in Health
Richard is very calm and methodical, with an analytic insight - exactly the qualities needed to present this sort of course.
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