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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.
This course is now available as part of a multi-course, blended learning premium training bundle for a limited time! Take your Data Science skills and career to the next level with multi-modal learning path bundles that lead to certification.
BLANDAT LÄRANDE
Unlimited annual access to:
LIVE, LÄRARLEDD
PREMIUM UTBILDNING
Unlimited annual access to:
FÖRETAGSINTERN UTBILDNING
Anpassa kurs och innehåll efter teamets behov
Kontakta ossLearning 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 .
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).
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.
Data science is about obtaining insights from data using methods from several disciplines like statistics, linear algebra, differential equations, machine learning, etc. Many of the activities in data science involve large amounts of data, especially for training models. Some will use data that cannot be efficiently stored in a relational fashion; unstructured data. Often data needs to be processed and conclusions reached extremely quickly. These requirements for large volume, variety and velocity create an overlap between big data, how to store, secure, manage and access the data, and data science, how best to utilise the data in order to draw conclusions and gain insights from it.
You'll be able to register for a Training Review Session at any time after you've placed your order.
21 - 23 jun
9:00 - 4:30 CEST
Stockholm / Online (AnyWare)
27 - 29 okt
9:00 - 4:30 CEST
Stockholm / Online (AnyWare)
30 mar - 1 apr
9:00 - 4:30 CEST
Stockholm / Online (AnyWare)
7 - 9 sep
9:00 - 4:30 BST
Online (AnyWare)
23 - 25 nov
9:00 - 4:30 GMT
Online (AnyWare)
5 - 7 maj
9:00 - 4:30 EDT
Online (AnyWare)
18 - 20 aug
9:00 - 4:30 EDT
New York / Online (AnyWare)
5 - 7 jan
9:00 - 4:30 EST
Toronto / Online (AnyWare)
9 - 11 feb
9:00 - 4:30 EST
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.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 ›
Defining Big Data
Delivering business benefit from Big Data
Analysing your data characteristics
Overview of Big Data stores
Selecting Big Data stores
Integrating disparate data stores
Employing Hadoop MapReduce
The building blocks of Hadoop MapReduce
Handling streaming data
Abstracting Hadoop MapReduce jobs with Pig
Performing ad hoc Big Data querying with Hive
Creating business value from extracted data
Defining a Big Data strategy for your organisation
Enabling analytic innovation
Data science is about obtaining insights from data using methods from several disciplines like statistics, linear algebra, differential equations, machine learning, etc. Many of the activities in data science involve large amounts of data, especially for training models. Some will use data that cannot be efficiently stored in a relational fashion; unstructured data. Often data needs to be processed and conclusions reached extremely quickly. These requirements for large volume, variety and velocity create an overlap between big data, how to store, secure, manage and access the data, and data science, how best to utilise the data in order to draw conclusions and gain insights from it.
21 - 23 jun 9:00 - 4:30 CEST Stockholm / Online (AnyWare)
27 - 29 okt 9:00 - 4:30 CEST Stockholm / Online (AnyWare)
30 mar - 1 apr 9:00 - 4:30 CEST Stockholm / Online (AnyWare)
7 - 9 sep 9:00 - 4:30 BST Online (AnyWare)
23 - 25 nov 9:00 - 4:30 GMT Online (AnyWare)
5 - 7 maj 9:00 - 4:30 EDT Online (AnyWare)
18 - 20 aug 9:00 - 4:30 EDT New York / Online (AnyWare)
5 - 7 jan 9:00 - 4:30 EST Toronto / Online (AnyWare)
9 - 11 feb 9:00 - 4:30 EST 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.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.
Once payment is received, you will receive details for your Unlimited Access Training Bundle via email. At that time, you may call or email our customer service team for assistance in enrolling in the event date of your choice.
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.
Data science is about obtaining insights from data using methods from several disciplines like statistics, linear algebra, differential equations, machine learning, etc. Many of the activities in data science involve large amounts of data, especially for training models. Some will use data that cannot be efficiently stored in a relational fashion; unstructured data. Often data needs to be processed and conclusions reached extremely quickly. These requirements for large volume, variety and velocity create an overlap between big data, how to store, secure, manage and access the data, and data science, how best to utilise the data in order to draw conclusions and gain insights from it.
Once payment is received, you will receive details for your Unlimited Access Training Bundle via email. At that time, you may call or email our customer service team for assistance in enrolling in the event date of your choice.
You'll be able to register for a Training Review Session at any time after you've placed your order.
Data Science
Bundled Training
Extend learning beyond a single event with bundled content designed for real-world application.
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