Online or onsite, instructor-led live Apache Hadoop training courses demonstrate through interactive hands-on practice the core components of the Hadoop ecosystem and how these technologies can be used to solve large-scale problems.
Hadoop 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 Hadoop trainings in Cairo can be carried out locally on customer premises or in NobleProg corporate training centers.
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 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.
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.
Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. In this three (optionally, four) days course, attendees will learn about the business benefits and use cases for Hadoop and its ecosystem, how to plan cluster deployment and growth, how to install, maintain, monitor, troubleshoot and optimize Hadoop. They will also practice cluster bulk data load, get familiar with various Hadoop distributions, and practice installing and managing Hadoop ecosystem tools. The course finishes off with discussion of securing cluster with Kerberos.
“…The materials were very well prepared and covered thoroughly. The Lab was very helpful and well organized”
— Andrew Nguyen, Principal Integration DW Engineer, Microsoft Online Advertising
Audience
Hadoop administrators
Format
Lectures and hands-on labs, approximate balance 60% lectures, 40% labs.
Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. This course will introduce a developer to various components (HDFS, MapReduce, Pig, Hive and HBase) Hadoop ecosystem.
Apache Hadoop is one of the most popular frameworks for processing Big Data on clusters of servers. This course delves into data management in HDFS, advanced Pig, Hive, and HBase. These advanced programming techniques will be beneficial to experienced Hadoop developers.
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.
This course introduces HBase – a NoSQL store on top of Hadoop. The course is intended for developers who will be using HBase to develop applications, and administrators who will manage HBase clusters.
We will walk a developer through HBase architecture and data modelling and application development on HBase. It will also discuss using MapReduce with HBase, and some administration topics, related to performance optimization. The course is very hands-on with lots of lab exercises.
Informatica with Big Data (BDM) is a course designed to empower data professionals to develop, manage and analyze large data sets, leveraging the latest technologies and architectures in the Big Data space. The course focuses on the full life cycle from data ingestion, integration, cleansing and curation, to data analytics and the exposure and consumption of big data services.
In this course, learners will explore the solutions that process large datasets using Big Data technologies and architectures like Apache Hive, Apache Hadoop, and Apache Spark. The course also provides practical experience in using Informatica tools like Bloombox, Big Data Management, and iData Fabric to understand big data technologies like Map Reduce and Hadoop. By the end of this course, the learner will be able to create end-to-end data solutions using Informatica and its associated Big Data solutions.
In this instructor-led, live training in Cairo (onsite or remote), participants will learn how to deploy and manage Apache NiFi in a live lab environment.
By the end of this training, participants will be able to:
Install and configure Apachi NiFi.
Source, transform and manage data from disparate, distributed data sources, including databases and big data lakes.
In this instructor-led, live training in Cairo, participants will learn the fundamentals of flow-based programming as they develop a number of demo extensions, components and processors using Apache NiFi.
By the end of this training, participants will be able to:
Understand NiFi's architecture and dataflow concepts.
Develop extensions using NiFi and third-party APIs.
Custom develop their own Apache Nifi processor.
Ingest and process real-time data from disparate and uncommon file formats and data sources.
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Testimonials (6)
The live examples
Ahmet Bolat - Accenture Industrial SS
Course - Python, Spark, and Hadoop for Big Data
During the exercises, James explained me every step whereever I was getting stuck in more detail. I was completely new to NIFI. He explained the actual purpose of NIFI, even the basics such as open source. He covered every concept of Nifi starting from Beginner Level to Developer Level.
Firdous Hashim Ali - MOD A BLOCK
Course - Apache NiFi for Administrators
That I had it in the first place.
Peter Scales - CACI Ltd
Course - Apache NiFi for Developers
practical things of doing, also theory was served good by Ajay
Dominik Mazur - Capgemini Polska Sp. z o.o.
Course - Hadoop Administration on MapR
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
I mostly liked the trainer giving real live Examples.
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