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Introduktion till Big Data
Nivå: Foundation
Snittbetyg:
4,54/5 Based on 394 Reviews
Lär dig att använda analysverktyg och tekniker inom Big Data som hjälper er att ta bättre affärsbeslut genom denna introduktionskurs till Big Data. Under utbildningen får du lära dig sätt att lagra data som möjliggör effektiv bearbetning och analys, Du får kunskaperna du behöver för att lagra, hantera, bearbeta och analysera stora mängder ostrukturerade data för att skapa en lämplig data lake.
Nyckelfunktioner:
- Choose from blended on-demand and instructor-led learning options
- Learn Big Data Analytics
- After-course instructor coaching benefit
- Learning Tree end-of-course exam included
- After-course computing sandbox included
Du kommer lära dig att:
- Lagra, bearbeta och analysera ostrukturerade data
- Välja rätt sätt att lagra Big Data för skilda datauppsättningar
- Använda Hadoop för att bearbeta och få insikter från stora datamängder
- Ställa frågor till stora datauppsättningar med Pig och Hive
- Planera och implementera en Big Data-strategi i er verksamhet
Välj den utbildningsform som passar dig bäst
BLANDAT LÄRANDE
On-demand och online lärarträffar
Unlimited annual access to:
- 2 on-demand courses
- 5 eBooks
- 1-day instructor-led training course
LIVE, LÄRARLEDD
Klassrum och självstudier
- 3-day instructor-led training course
- One-on-one after-course instructor coaching
- After-course computing sandbox
PREMIUM UTBILDNING
Klassrum, On-demand och självstudier
Unlimited annual access to:
- 2 on-demand courses
- 5 eBooks
- 1-day instructor-led training course
- 3-day instructor-led training course
- One-on-one after-course instructor coaching
- Learning Tree end-of-course exam included
- After-course computing sandbox included
FÖRETAGSINTERN UTBILDNING
Teamträning
- Bring this or any training to your organization
- Full - scale program development
- Delivered when, where, and how you want it
- Blended learning models
- Tailored content
- Expert team coaching
Anpassa kurs och innehåll efter teamets behov
Kontakta ossUtveckla dig och ditt team med anpassade eller öppna kurser alternativt e-learning
Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .
On-demand och online lärarträffar
Big Data Blended utbildningsinformation
Unlimited annual access to:
- 2 on-demand courses
- 5 eBooks
- 1-day instructor-led training course
Utbildningsplan On-Demand
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On-Demand Courses
- From 0 to 1: Hive for Processing Big Data
- Building a Big Data Analytics Stack
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eBooks
- Hands-on Big Data Modelling
- Big Data Architect's Handbook
- Modern Big Data Processing with Hadoop
- Big Data Processing with Apache Spark
- Practical Big Data Analytics
Big Data Training FAQs
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What background do I need?
Working knowledge of the Microsoft Windows platform and basic database concepts.
Typical job roles include: Project and IT Managers, Database Administrators & Data Architects, Developers & SQL Developers, Data Scientists & Business Intelligence.
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Is the on-demand content the same as the 3-day instructor class?
No. While the content selected does map to the objectives of the instructor-led course, it does not include a recorded version of the instructor-led class. The objectives have been re-imagined to be presented in digital, self-guided formats. -
What on-demand content will I receive?
An outline of the content you will receive can be seen above. You will also get access to any new on-demand content that becomes available during your annual enrollment period. -
Does this include any practical, hands-on learning?
Yes! Each book and video begins with a step by step guide for you to set up a coding environment on your personal computer. The course content is full of examples and practical advice, followed up by the chance to embed your learning through real world tasks. All example code is available to download, copy and use - giving you the chance to work and practice as you read and watch. -
How will I access my course materials if I choose this method?
Once payment is received, you will receive an email from Learning Tree with all the links and information you need to get started. -
How can I sign up for a review session?
Once you are enrolled in the program, specific details and dates will be sent to you.
One Day Instructor-Led Review
You'll be able to register for a Training Review Session at any time after you've placed your order.
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6 jan
(1 dag)
9:00 - 4:30 EST Online (AnyWare) -
28 jan
(1 dag)
9:00 - 4:30 GMT London / Online (AnyWare) -
28 apr
(1 dag)
9:00 - 4:30 BST London / Online (AnyWare) -
28 apr
(1 dag)
9:00 - 4:30 EDT Online (AnyWare) -
9 jul
(1 dag)
9:00 - 4:30 EDT Online (AnyWare) -
11 aug
(1 dag)
9:00 - 4:30 BST London / Online (AnyWare) -
5 okt
(1 dag)
9:00 - 4:30 EDT Online (AnyWare) -
27 okt
(1 dag)
9:00 - 4:30 GMT London / Online (AnyWare)
Klassrum och självstudier
Note: This course runs for 3 dagar
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29 - 31 jan 9:00 - 4:30 GMT London / Online (AnyWare) Boka Din Kursplats
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7 - 9 apr 9:00 - 4:30 BST London / Online (AnyWare) Boka Din Kursplats
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10 - 12 jun 9:00 - 4:30 BST London / Online (AnyWare) Boka Din Kursplats
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2 - 4 sep 9:00 - 4:30 BST London / Online (AnyWare) Boka Din Kursplats
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11 - 13 nov 9:00 - 4:30 GMT London / Online (AnyWare) Boka Din Kursplats
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15 - 17 jan 9:00 - 4:30 EST Ottawa / Online (AnyWare) Boka Din Kursplats
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19 - 21 feb 9:00 - 4:30 EST New York / Online (AnyWare) Boka Din Kursplats
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15 - 17 apr 9:00 - 4:30 EDT Toronto / Online (AnyWare) Boka Din Kursplats
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20 - 22 maj 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare) Boka Din Kursplats
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15 - 17 jul 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Boka Din Kursplats
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19 - 21 aug 9:00 - 4:30 EDT New York / Online (AnyWare) Boka Din Kursplats
Kurs med startgaranti
När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.Important Intro to Big Data Lärarledd kursinformation
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Big Data Training Course Description
In this hands-on Introduction to Big Data Course, learn to leverage big data analysis tools and techniques to foster better business decision-making – before you get into specific products like Hadoop training (just to name one). Learn ways of storing data that allow for efficient processing and analysis, and gain the skills you need to store, manage, process, and analyze massive amounts of unstructured data to create an appropriate data lake.
View this Big Data training course as part of a learning path defined by job roles ›
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Recommended Experience
- Working knowledge of the Microsoft Windows platform and basic database concepts
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Who Should Attend
- Anyone needing to implement, enhance your big data environment and looking to advance their analytics career by ensuring foundational knowledge
- Typical job roles include: Project Managers and IT Managers, Database Administrators & Data Architects, Developers & SQL Developers, Data Scientists & Business Intelligence
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All-Inclusive: After-Course Coaching for Real-World Application
Learning Tree is with you from the beginning of your planning until you return to your job ready to apply your new skills – with instructor coaching to answer real-world big data implementation challenges. -
Take Your Big Data Course Online or In-person:
Schedules are busy, but big data training online makes it easy to level-up your career. If you need Big Data online training, we’ve got you covered. Our AnyWare course delivery option gives you the advantages of a live classroom right from the comfort of your computer screen – no matter where you are.
Into to Big Data Lärarledd Utbildningsplan
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Introduktion till Big Data
Definiera Big Data
- De fyra dimensionerna av Big Data: volym, hastighet, variation, trovärdighet
- Introduktion av Storage, MapReduce och Query Stack
Leverera affärsfördelar med Big Data
- Etablera hur viktigt Big Data är för verksamheten
- Klara utmaningen med att extrahera användbar data
- Integrera Big Data med traditionell data
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Lagra Big Data
Analysera kännetecken för din data
- Välja datakällor för analys
- Eliminera överflödig data
- Etablera vilken roll NoSQL ska ha
Översikt över Big Data–lager
- Datamodeller: nyckelvärde, diagram, dokument, spaltfamilj
- Hadoop Distributed File System
- HBase
- Hive
- Cassandra
- Hypertable
- Amazon S3
- BigTable
- DynamoDB
- MongoDB
- Redis
- Riak
- Neo4J
Välja Big Data–lager
- Välja rätt datalager baserat på kännetecken för din data
- Överföra kod till data
- Implementera flerspråkiga datalösningar
- Anpassa affärsmål till rätt datalager
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Bearbeta Big Data
Integrera olika datalager
- Mappa data till programmeringsramverket
- Anluta till och extrahera data från lager
- Omvandla data för bearbetning
- Dela upp data i underavdelningar som en förberedelse för Hadoop MapReduce
Använda Hadoop MapReduce
- Skapa komponenterna i Hadoop MapReduce–jobb
- Distribuera databearbetning över serverfarmar
- Genomföra Hadoop MapReduce–jobb
- Övervaka framstegen för arbetsflöden
Byggstenarna i Hadoop MapReduce
- Skilja ut Hadoop–bakgrundsprogram
- Utforska Hadoop Distributed File System
- Välja en lämplig modell för genomförande: lokal, pseudodistribuerad och helt distribuerad
Hantera strömmande data
- Jämföra modeller för bearbetning i realtid
- Använda Storm för att extrahera livehändelser
- Blixtsnabb bearbetning med Spark & Shark
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Verktyg och tekniker för att analysera Big Data
Utvinna Hadoop MapReduce–jobb med Pig
- Kommunicera med Hadoop på Pig Latin
- Utföra kommandon med hjälp av Grunt Shell
- Förenkla bearbetning på hög nivå
Ställa ad hoc–frågor till Big Data med Hive
- Spara data i Hive MegaStore
- Ställa frågor med HiveQL
- Utforska Hive–filformat
Skapa affärsvärde utifrån extraherad data
- Utvinna data med Mahout
- Visualisera bearbetade resultat med rapporteringsverktyg
- Ställa frågor i realtid med Impala
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Utveckla en Big Data–strategi
Definiera en Big Data–strategi för din organisation
- Etablera Big Data–behoven
- Uppnå affärsmål med rätt data i rätt tid
- Utvärdera kommersiella Big Data–verktyg
- Hantera förväntningar i organisationen
Möjliggöra analytisk innovation
- Fokusera på betydelsen för verksamheten
- Ringa in problemet
- Välja rätt verktyg
- Uppnå resultat i tid
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Implementera en Big Data–lösning
- Välja lämpliga återförsäljar– och värdlösningar
- Balansera kostnader mot affärsvärde
- Ligga före kurvan
Intro to Big Data FAQs
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What is big data?
Big data is a term used to define data sets that have the potential to rapidly grow so large that they become unmanageable. The Big Data movement includes new tools and ways of storing information that allow efficient processing and analysis for informed business decision-making. -
What is the difference between big data and machine learning?
Big data refers to the data set that has huge, and growing, volume that can quickly become unwieldy. Machine learning is a subsection of Artificial Intelligence (AI) that can help you extract value from big data to solve problems. -
How does big data help businesses?
Understanding how to work with big data can help you glean useful insights from large amounts of data, which can help you and your organization make better business decisions. -
Does Learning Tree offer Big data online training?
Schedules are busy, but big data training online makes it easy to level-up your career. If you need Big Data online training, we’ve got you covered. Our AnyWare course delivery option gives you the advantages of a live classroom right from the comfort of your computer screen – no matter where you are.
Klassrum, On-demand och självstudier
Note: This course runs for 3 dagar
-
29 - 31 jan 9:00 - 4:30 GMT London / Online (AnyWare)
-
7 - 9 apr 9:00 - 4:30 BST London / Online (AnyWare)
-
10 - 12 jun 9:00 - 4:30 BST London / Online (AnyWare)
-
2 - 4 sep 9:00 - 4:30 BST London / Online (AnyWare)
-
11 - 13 nov 9:00 - 4:30 GMT London / Online (AnyWare)
-
15 - 17 jan 9:00 - 4:30 EST Ottawa / Online (AnyWare)
-
19 - 21 feb 9:00 - 4:30 EST New York / Online (AnyWare)
-
15 - 17 apr 9:00 - 4:30 EDT Toronto / Online (AnyWare)
-
20 - 22 maj 9:00 - 4:30 EDT Herndon, VA / Online (AnyWare)
-
15 - 17 jul 9:00 - 4:30 EDT Ottawa / Online (AnyWare)
-
19 - 21 aug 9:00 - 4:30 EDT New York / Online (AnyWare)
Kurs med startgaranti
När du ser symbolen för “Guaranteed to Run” vid ett kurstillfälle vet du att kursen blir av. Garanterat.Big Data Obegränsad åtkomst kursinformation
Unlimited annual access to:
- 2 on-demand courses
- 5 eBooks
- 1-day instructor-led training course
- 3-day instructor-led training course
- One-on-one after-course instructor coaching
- Learning Tree end-of-course exam included
- After-course computing sandbox included
Utbildningsplan On-Demand
This product offers access to 2 on-demand courses and 5 eBooks that have been mapped directly to the objectives of the 3-day course. At any time during your annual access to this offering, you may attend one of our 1-day course events focused specifically on Big Data Insights, Technologies & Trends (4500). Enrolling in this bundle also grants you access to any of our multi-day Introduction to Big Data (1250) course events.
Big Data Training FAQs
-
On-Demand Courses
- From 0 to 1: Hive for Processing Big Data
- Building a Big Data Analytics Stack
-
eBooks
- Hands-on Big Data Modelling
- Big Data Architect's Handbook
- Modern Big Data Processing with Hadoop
- Big Data Processing with Apache Spark
- Practical Big Data Analytics
One Day Instructor-Led Review
You'll be able to register for a Training Review Session at any time after you've placed your order.
-
6 jan
(1 dag)
9:00 - 4:30 EST Online (AnyWare) -
28 jan
(1 dag)
9:00 - 4:30 GMT London / Online (AnyWare) -
28 apr
(1 dag)
9:00 - 4:30 BST London / Online (AnyWare) -
28 apr
(1 dag)
9:00 - 4:30 EDT Online (AnyWare) -
9 jul
(1 dag)
9:00 - 4:30 EDT Online (AnyWare) -
11 aug
(1 dag)
9:00 - 4:30 BST London / Online (AnyWare) -
5 okt
(1 dag)
9:00 - 4:30 EDT Online (AnyWare) -
27 okt
(1 dag)
9:00 - 4:30 GMT London / Online (AnyWare)
Teamträning
Your Training Comes with a 100% Satisfaction Guarantee!*
- If you are not 100% satisfied, you pay no tuition!
- No advance payment required for most products.
- Tuition can be paid later by invoice - OR - at the time of checkout by credit card.
*Partner-delivered courses may have different terms that apply. Ask for details.