Big Data Foundation
Whether you want to gain a competitive edge and real-time data for the right decision. Or make yourself known with a prestigious certificate in a field in which billions of € are invested
Virtual Training or e-Learning?
We offer flexibility. You can choose from our selection of in-class courses as well as online courses.
Try a live virtual courseTarget audience
We will show you what resources can be processed and how. What problems do companies face? We will show you the benefits of Data Mining and advanced processing.
Big Data Foundation is best suited to IT professionals who possess intermediate to advanced programming, system administration, or relational database skills and are looking to move into the area of Big Data. These include:
- IT Architects
- Software Engineers
- System administrators
- Application Developers
- Business analytics and research analytic
Aims of the course
- Be invaluable for employers, as data is turned into useful information
- Be able to provide the best Big Data solution for companies and business
- Use neutral Big Data knowledge to apply it with the best available technologies related
- Real-time monitoring and forecasting of events that impact either business performance
- Because of the global shortage of people with big data skills, you will enhance your career
Why Big Data
The Big Data foundation course provides you with an understanding of Big Data, potential data sources that can be used for solving real business problems, and an overview of data mining and the tools used in it.
This is a fundamental course with practical exercises designed to provide you with hands-on experience in using two of the most popular technologies in Big Data processing – Hadoop.
Agenda
Day 1Hide agendaOpen agenda
09:00 – 10:30
Introduction
- About BigData
- What is Hadoop
- Hadoop foundations
10:30 – 10:45
Coffee Break
10:45 – 12:15
Hadoop MapReduce
- D38 D8MapReduce
- MapReduce Programmming
- Hadoop for Data Warehousing Professionals
12:15 – 13:15
Lunch
13:15 – 15:00
Hadoop 2.0
- What is Hive
- Hive Data model
- Why Hive Apache Hive
- Hive commands in Apache Hadoop
15:00 – 15:15
Coffee Break
15:15 – 16:45
Concepts
- Demo Big Data application
- What is Hbase, why Hbase
- Advanced Hive, Hive Scripting, Apache Hive
Day 2Hide agendaOpen agenda
09:00 – 10:30
Hadoop, Ozzie
- What Oozie v Hadoop
- Hadoop vs. traditional systems
10:30 – 10:45
Coffee Break
10:45 – 12:15
- Hadoop & ETL
- Data Warehousing
- Hadoop Data Mining
- Hadoop Job Tracker
- Pig
- Demo Pig UDF
- Hadoop, Pig Excercise
12:15 – 13:15
Lunch
13:15 – 15:00
Introduction to HDFS
- Pig vs. Hive
- Hadoop Jobs
- Hadoop Ecosystem
- Hbase vs. Cassandra
- Big Data & Hadoop Developer
15:00 – 15:15
Coffee Break
15:15 – 16:45
Exam
- Certification Hadoop & Administration
With everybody being online all the time and registered in systems organizations and subscribed to services, human behavior is measured all the time. All this data is collected by organizations: Big Data.
The last few years enormous volumes of Big Data have been collected, enabled by new technologies that provides massive storage.
- Block duration 45 minutes
- Hours 2 hours
- Refreshments Yes
- Exam Yes
Prerequisites
None.
Certification
Big Data Foundation - Exam
Having the certification shows your experience in a cloud environment, and demonstrates the relevant skills and knowledge. Organizations that employ BDFs will have experts who can help maximize the business opportunities that cloud is creating.
- Number of questions: 75
- Pass mark: 65% (49 out of 75)
- Electronic equipment allowed: no
Prerequisites
This course does not require any entry prerequisites. However, a general overview of IT technologies is recommended. The final exam contains 5 topics:
- Big Data
- Data mining
- Big Data technologies—Hadoop
- Tools applicable to Big Data processing
- Big Data projects and the main players involved
Graduate ratings
Excellent review ☆☆☆☆☆ from 22 reviewers
What makes our references exceptional? They are not one-off events. Clients come back to us regularly.
- Pavel B.
- 05.03.21
- ☆☆☆☆☆
- Deepview
Děkuji p. Stufimu za výborné školení a názorné ukázky.
- Viliam M.
- 06.11.19
- ☆☆☆☆☆
- Ness Czech
Školitel má hluboké znalosti v obore. Školenie vnímám ako prínosné. Ďakujem.
- GDPR Anonymizováno
- 06.11.19
- ☆☆☆☆☆
- Ness Czech
Dobrý.
- GDPR Anonymizováno
- 06.11.19
- ☆☆☆☆☆
- Ness Czech
Výborný.
- Pavel Š.
- 25.06.18
- ☆☆☆☆☆
- ČZU v Praze
Školitel disponuje velmi rozsáhlými znalostmi i praktickými zkušenostmi. Velmi ochotně a fundovaně odpovídal na dotazy.
- GDPR Anonymizováno
- 22.06.18
- ☆☆☆☆☆
- ČZU v Praze
Výborný kurz.
- GDPR Anonymizováno
- 22.06.18
- ☆☆☆☆☆
- ČZU v Praze
Kurz je informativní, představujcí dobrý vstup do ekosystému big data.
- Jan T.
- 22.06.18
- ☆☆☆☆☆
- ČZU v Praze
Školení splnilo mé očekávání. Získal jsem základní představu o problematice Big Data. Ing. Štafi velice ochotně zodpovídal naše dotazy a reagoval na podněty.
- GDPR Anonymizováno
- 22.06.18
- ☆☆☆☆☆
- ČZU v Praze
Výborný kurz.
- Michal S.
- 22.06.18
- ☆☆☆☆☆
- ČZU v Praze
Dobrý náhled do ekosystému. Chtělo by to více dní. Doporučuji svým kolegům.
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View the full list of reference clients.
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