Big Data Analytics Using Spark

Academy
edX
Kurzbeschreibung
Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform.
Kursarten
E-Learning
Fachbereiche

Informatik, Data Science

Kurslevel
Professionel

Dieser Kurs ist neu hier. 0 User folgen diesem Kurs und erhalten Bescheid, wenn es Neues gibt - Kurs jetzt folgen.

Du hast den Kurs besucht? Kurs jetzt bewerten.

Hier kannst du der Eggheads Community deine Fragen zu diesem Kurs stellen. Auch Kursleiter können mitdiskutieren.


Frage stellen

Du must angemeldet sein um zu antworten

Kursinhalt
In data science, data is called “big” if it cannot fit into the memory of a single standard laptop or workstation. The analysis of big datasets requires using a cluster of tens, hundreds or thousands of computers. Effectively using such clusters requires the use of distributed files systems, such as the Hadoop Distributed File System (HDFS) and corresponding computational models, such as Hadoop, MapReduce and Spark. In this course, part of the Data Science MicroMasters program, you will learn what the bottlenecks are in massive parallel computation and how to use spark to minimize these bottlenecks. You will learn how to perform supervised an unsupervised machine learning on massive datasets using the Machine Learning Library (MLlib). In this course, as in the other ones in this MicroMasters program, you will gain hands-on experience using PySpark within the Jupyter notebooks environment.
Kurssprache
Englisch
Kursgebühr
USD 350