Big Data Intro™
Managerial-technological introduction to Big Data and Hadoop under the guidance of a certified trainer. We will show you real simulations and benefits on the examples of the most popular technologies for processing large amounts of data.
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 group
Anyone who wishes to practically understand Big Data & Hadoop
You can read the theory on the Internet. The ever-growing number of technologies is a confusing jungle for many beginners. If you are looking for answers to key questions about Big Data, Hadoop and more, this course is for you.
- Analysts
- Head of SW development
- IT & Enterprise Architects
- Business and Marketing Management
Course objectives
- What is the magic word Hadoop and what makes it so special and powerful
- You will master the issue of Big Data on simple practical examples
- What impact Big Data has on large companies, small companies and managers like you
Why Big Data
Big Data is a new buzz word in the field of advanced analytics and processing of large volumes of data. Data management has completely changed in recent years due to the advent of new technologies. And today, this way of thinking and managing decides who will be more successful in the market.
If you want to keep up with one of the fastest growing industries, try this course. It will help you understand the basics of Big Data, but will also show you the direction you can / must proceed.
- Real Time response and elimination of risks from unexpected events
- Quickly and efficiently search, analyze huge amounts of data
- Management of data sources (servers, networks, internet, databases, social media)
Agenda
09:00 – 10:30
Introduction
- Big Data Foundations
- Hadoop Foundations
- Ekosystem
10:30 – 10:45
Coffee Break
10:45 – 12:15
Platforms
- Big Data Platform
- Apache Spark Platform
- Key components
- HDFS, MapReduce, YEAR and others
12:15 – 12:30
Conclustion
- Discussion, questions
An intensive Intro course for managers and IT professionals will introduce you to the issue of processing large amounts of data.
- Block duration 90 minutes
- Hours 4 hours
- Refreshments Yes
- Exam No
Prerequisites
None.
Certification
Big Data Intro Leaving Awards
Big Data® Intro Lea (Leaving Awards) published by spol. TAYLLORCOX confirms completion of a basic management course under the guidance of a certified trainer from the Accredited Training Organization (ATO) TAYLLORCOX.
- Your first Big Data certificate
- Declare knowledge of an area in which billions are being invested
- Managerial technical introduction to Big Data, Hadoop and components
Graduate ratings
Excellent review ☆☆☆☆☆ from 22 reviewers
What makes our references exceptional? They are not one-off events. Clients come back to us regularly.
- GDPR Anonymizováno
- 24.07.20
- ☆☆☆☆☆
- Freelancer
Velmi pěkné.
- GDPR Anonymizováno
- 02.07.20
- ☆☆☆☆☆
- Freelancer
Moc se mi líbil!
- GDPR Anonymizováno
- 02.07.20
- ☆☆☆☆☆
- Home Credit
Velmi přínosný a pěkně zpracovaný kurz.
- GDPR Anonymizováno
- 11.02.20
- ☆☆☆☆☆
- Generali
Skvělé bavila mě hodně druhá technická část.
- GDPR Anonymizováno
- 11.02.20
- ☆☆☆☆☆
- Anect
Vysoká znalost školitele. Dobře prodané zkušenosti.
- GDPR Anonymizováno
- 11.02.20
- ☆☆☆☆☆
- Freelancer
Skvělý kurz pro ty, kteří chtějí získat ponětí o tom co Big Data je. Spousta užitečných informací podaných jednoduchým jazykem s příklady z praxe.
- GDPR Anonymizováno
- 02.08.19
- ☆☆☆☆☆
- Komix
Ucelený přehled, splnilo účel.
- Karel P.
- 02.08.19
- ☆☆☆☆☆
- Freelancer
Srozumitelné, obsažné, OK.
- Tomáš H.
- 26.03.18
- ☆☆☆☆☆
- Adler Czech
Skvělý lektor, úžasné téma s velkým potenciálem.
- Bohumil L.
- 26.03.18
- ☆☆☆☆☆
- Adler Czech
Naprosto předčilo mé očekávání. Doporučuji všem.
View the next 10 reviews of our graduates
View the full list of reference clients.
Not sure if this is the right courese for you? Get in touch!
For assistance please give us a call.
We are available at +420 222 553 101 Always Monday to Friday: 9am - 5pm.
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