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Big_data_onlinekursus
Nyt
365 dages online kursus

Online kursus: Big Data

For dig, der arbejder med Big Data, får du her en kursuspakke, der giver dig opdateret viden om relevante programmer og teknologier. Kurserne er på engelsk og foregår online, når det passer dig. Du har adgang til online kurserne i 365 dage.

online kurser

Big Data – from buzzword to useful tool

A number of tools are available for working with Big Data. Many of the tools are open source and Linux distribution based. Big Data requires a holistic approach and a change to regular working practices. This course package covers fundamentals of Big Data, including positioning it in a historical IT context, the tools available for working with Big Data, the way teams work in Big Data organizations, some projects and use cases for Big Data, and challenges and opportunities that Big Data presents.

You will learn how to use some of the key tools for working with Big Data, such as Apache Spark, Apache Hadoop, Mapreduce, Apache Kafka, and finally the course package covers different perspectives on Big Data, among others leadership, engineering, legal, marketing, and sales perspective.

Video

 

Target audience

IT engineers, programmers, and DBAs working with or interested in Big Data, as well as business decision makers interested in implementing or managing Big Data systems.

Benefits

Among other things, you will learn:

  • The latest big data technologies from experts
  • Big Data into the perspective of supercomputing
  • Big Data in context of technology waves and put it into the perspective by Comparing to previous technology waves
  • The factors impacting Big Data teams
  • How big data products are economic engines
  • Compare building vs. buying approaches to big data skill
  • Compare the pros and cons of building an in house big data infrastructure
  • The privacy concerns over big data
  • How big data is used in marketing

Collection content

Big Data Fundamentals (2 courses)
These courses covers the fundamentals of Big Data, including positioning it in a historical IT context, the tools available for working with Big Data, the Big Data stack, and finally an overview of Big Data opportunities and challenges.
Apache Spark Fundamentals (1 course)
In this course, you will learn how to develop Spark applications using Scala, Java, or Python. You will also learn how to test and deploy applications to a cluster, monitor clusters and applications, and schedule resources for clusters and individual applications.
Apache Hadoop and MapReduce Essentials (2 courses)
These courses will introduce the basic concepts of cloud computing using Apache Hadoop, cloud computing, Big Data, and the development tools applied, and explore MapReduce programming and explain the basics of programming in MapReduce and Hive.
Hadoop Ecosystem (10 courses)
These courses examine the Hadoop ecosystem by demonstrating all of the commonly used open source software components. You will explore installation of Hadoop, and various data repositories, data refinery, data factories, and finally the data flow for the Hadoop ecosystem.
Hadoop Operations (10 courses)
In these courses you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. Furthermore you will explore the use of clusters.
Big Data - The Corporate Leadership Perspective (1 course)
In this course, you will learn how to create a governance strategy, examine security concerns, and realize how this will impact human resources.
Big Data - The Engineering Perspective (1 course)
This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.
Big Data - The Legal Perspective (1 course)
In this course, you will examine privacy concerns, how data can be used ethically, and what to do about social media.
Big Data - The Marketing Perspective (1 course)
In this course we will examine the impacts of big data from the marketing perspective. We will look at how the mobile effect has changed marketing, how purchasing habits have changed and what impact datafying consumer behavior has done.
Big Data - The Strategic Planning Perspective (1 courses)
In this course, you will compare scaling up to scaling out, identify different analytical models, and learn how to secure funding for data initiatives.
Big Data - The Sales Perspective (1 course)
In this course, you will learn the difference between big data and data science. You will take a look at different algorithms and technology accelerators.
Apache Spark Advanced Topics (3 courses)
In these courses, you will learn how to improve Spark's performance and work with Data Frames, Spark SQL, Spark Core, Spark Streaming, and MLlib, GraphX, and R.
Apache Kafka (2 courses)
These courses covers the basic concepts of Apache Kafka, and considerations for deploying Kafka and managing servers, as well as Apache Kafka Development.

Tidsforbrug

Kursuspakken består af 36 kurser, hvor hvert kursus gennemsnitligt varer to timer. Hele kursuspakken kan således gennemføres på ca. 72 timer.

Form

Denne online kursuspakke består af flere forskellige kurser, som du ved tilmelding har adgang til i 365 dage. Hvert enkelt kursus er opdelt i flere kursusmoduler, som du via en oversigtsmenu kan tage i den rækkefølge, du ønsker. Modulerne indeholder lyd, billeder og tekst, der gennemgår kursusindholdet. Nogle moduler indeholder små videofilm med scenarier og cases. Ved hvert kursus har du mulighed for at teste din forståelse af indholdet med tests, som du kan tage både før, under og efter kurset. Du gennemfører kursusmodulerne via din computer eller tablet med lyd og adgang til Internettet. Du kan selv styre, hvornår du vil tage modulerne – og de kan sættes på pause undervejs. Der bliver indsat bogmærker, der hvor du er nået til, så du altid har mulighed for at fortsætte, hvor du sidst kom til.

Læs mere om vores online kurser og se svar på dine spørgsmål (FAQ)

Søgte du et andet online kursus?

Vi tilbyder over 7.000 forskellige online kurser inden for mange forskellige områder. Kontakt os på tlf. 72203000 eller kurser@teknologisk.dk, så vi kan hjælpe med at imødekomme dit behov.

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