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Big Data Analytics using Apache Spark with Scala

In just 3 hours, the seminar Big Data Analytics using Apache Spark with Scala gives you a compact overview of the most efficient platform for Big Data Analysis.

The speaker Dr. Maryam Bagher Oskouei is an expert in data analysis, modeling, planning and implementation of complex analytical solutions. She has experience with the following technologies and methods: Big Data Analytics, Apache Spark, Azure HDInsight, Azure Data Lake, Databricks, AWS, Kafka, R, Python, Docker, R-bioconductor, Deep Learning, Machine Learning

The seminar language is English

BD-SPARK

Duration

0.5 days

goal

In this seminar the participants experience live

  • Big Data with Spark
  • Setting up a Spark Cluster in the Cloud
  • The use of three additional main libraries

On request this seminar is also available as a workshop for your company with a duration of 1 day. The practical part is over 50%.

target group

Data scientists, big data developers, data analysts

Contents (new)

Part1: Overview of Spark and Scala

  • Spark Core Concepts and Architecture
  • Brief coding with Scala

Part 2: Low-Level API

  • Resilient Distributed Datasets (RDDs)
  • RDD Operations

Part 3: Structured APIs

  • DataFrames
  • Spark SQL
  • DataSets

Part 4: Advanced Analytics and Machine Learning

  • Big Data Preprocessing with Spark
  • Spark ML:
  • Classification
  • Regression

Method

Presentation, demos and workshop

Prerequisites

Basic understanding of database technology and data management

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  • Solution Manager Trivadis Training
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