Bernard Marr defines Big Data as the digital trace that we are generating in this digital era. In this course, you will learn about the characteristics of Big Data and its application in Big Data Analytics. You will gain an understanding about the features, benefits, limitations, and applications of some of the Big Data processing tools. You’ll explore how Hadoop and Hive help leverage the benefits of Big Data while overcoming some of the challenges it poses.
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7 weeks of study, 1-2 hours / week
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Explainthe impact of Big Data including use cases, tools, and processing methods.
ExplainApache Hadoop architecture, ecosystem, and practices, and userelatedapplications including HDFS, HBase, Spark, and MapReduce.
Apply Spark programming basics, including parallel programming basics forDataFrames, data sets, and Spark SQL.
UseSpark’s RDDsanddata sets, optimizingSparkSQLusing Catalyst and Tungsten, anduseSpark’s development and runtime environment options.
Kompetenzen, die Sie erwerben
- Apache Hadoop
- SparkSQL
- SparkML
- Big Data
- Apache Spark
7 weeks of study, 1-2 hours / week
Könnte Ihr Unternehmen von Mitarbeiterweiterbildungen für gefragte Kompetenzen profitieren?
Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
What is Big Data?
Introduction to the Hadoop Ecosystem
Apache Spark
DataFrames and SparkSQL
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- 5 stars62,64 %
- 4 stars20,11 %
- 3 stars10,34 %
- 2 stars2,87 %
- 1 star4,02 %
Top-Bewertungen von INTRODUCTION TO BIG DATA WITH SPARK AND HADOOP
the lecture was clearly understandible and I feel very gratefull to have this lecture
thank you it was phenomenal😊
hands on lab and quizzes at the end of each session was very helpful
Fantastic blend of theory and practical (labs). The labs are short and have concise material.
This is really helpful for me to understand Big Data and Apache Spark!
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