Learning Path: Data Science With Apache Spark 2

Leider sind die Kurse von Simpliv LLC nicht mehr auf Springest vertreten.

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Python Basics (in English)

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This live online seminar teaches compact, basic knowledge of programming with Python and selected libraries for reading, processing and sav…

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Building Batch Data Analytics Solutions on AWS [GK7378]

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OVERVIEW In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apac…

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Artificial Intelligence Essentials (AI) eLearning + Exam [AIE-EL]

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OVERVIEW Step into the wonderful world of Artificial Intelligence (AI). This learning journey takes you through the technology and techniqu…

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Implementing a Lakehouse with Microsoft Fabric (DP-601) [M-DP601]

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OVERVIEW This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse conce…

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What is Natural Language Processing (NLP)? [W7108G]

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OVERVIEW This course introduces key concepts and methods in Natural Language Processing (NLP), the subfield of data science and artificial …

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Masterclass: Secure Data Engineering in the Azure Cloud [DAC]

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OVERVIEW In the modern world, every organization relies on data more every day. Businesses tend to deal with large amount of data which cou…

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Rising From The Ashes

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With this video course you will learn how to pull yourself up by your bootstraps to succeed! This is an upgrade to Rising From The Ashes eb…

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Microsoft Azure Data Fundamentals (DP-900) [M-DP900]

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OVERVIEW In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data serv…

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Implementing a Data Analytics Solution with Azure Synapse Analytics [M-DP3012]

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OVERVIEW This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark po…

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Data Engineering on Google Cloud Platform (DEGCP) Online

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Kursinhalt Module 1: Introduction to Data Engineering Module 2: Building a Data Lake Module 3: Building a Data Warehouse Module 4: Introduc…