Google Data Engineer E-Learning Ausbildung

Bestellen Sie dieses erstaunliche, preisgekrönte E-Learning Google Data Engineer decken wir alle Facetten des Zertifikats ab: Professional Data Engineer. Ein professioneller Dateningenieur ermöglicht datengesteuerte Entscheidungen durch Sammeln, Transformieren und Visualisieren von Daten.

Der Data Engineer analysiert Daten, um die Geschäftsergebnisse zu verstehen, erstellt statistische Modelle zur Unterstützung der Entscheidungsfindung und erstellt Modelle für maschinelles Lernen, um wichtige Geschäftsprozesse zu automeinieren und zesse.

Kursinhalt

De training demonstreert het volgende:

Bouw en onderhoud datastructuren en databases;Ontwerp gegevensverwerkingssystemen;Analyseer gegevens en maak machine learning mogelijk;Bedrijfsprocessen modelleren voor analyse en optimalisatie;Ontwerpen op het gebied van betrouwbaarheid;Visualiseer gegevens/ data ter onderbouwing van beleid;Ontwerp voor beveiliging en compliance.

Uw resultaat

Je bent bekend met de werkzaamheden van een Data Engineer op het Google Cloud Platform. Tevens ben je voorbereidt op het examen van Google: Professional Data Engineer.

Doelgroep

Data-analist

Google Cloud Platform Fundamentals

Course: 49 Minutes

• Course Introduction
• Google Cloud Platform Concepts
• Navigating Google Cloud Platform Services
• Benefits of Google Cloud Platform
• Comparing GCP and Other Models

Google Cloud Platform Storage and Analytics

Course: 1 Hour, 14 Minutes

• Course Introduction
• Compute and Storage Introduction
• CPUs on Demand with Google Compute Engine
• Cloud Storage
• Creating and Starting an Instance

Deeper through GCP Analytics and Scaling

Course: 45 Minutes

• Course Introduction
• Importing Data with Cloud SQL

GCP Network Data Processing Models

Course: 43 Minutes

• Course Introduction
• Introduction to GCP Networks
• Using GCP Models to Create a Network

Google Cloud Dataproc

Course: 44 Minutes

• Course Introduction
• Overview of Data Management in GCP
• Exploring Cloud Dataproc
• Accessing Cloud Dataproc
• Using the Cloud Dataproc Dashboard

Dataproc Architecture

Course: 47 Minutes

• Course Introduction
• Clusters with the CLI
• Dataproc REST API

Continued Dataproc Operations

Course: 59 Minutes

• Course Introduction
• Spark and Hadoop Processes
• Benefits of Cloud Dataproc
• Job Monitoring and Logging
• SSH into Master and Worker Nodes
• Spark REPL

Implementations with BigQuery for Big Data

Course: 1 Hour, 19 Minutes

• Course Introduction
• Implementing Initialization Actions with GCP
• Using Functions and Operators with BigQuery
• Configuring Connectors with BigQuery
• Loading Data with BigQuery
• Updating and Extracting Data with BigQuery

Fundamentals of Big Query

Course: 1 Hour, 20 Minutes

• Course Introduction
• Introduction to BigQuery
• BigQuery Exploring Datasets, Tables, and Views
• Writing Queries with BigQuery
• Big Query - Loading Data
• Exporting with BigQuery

APIs and Machine Learning

Course: 1 Hour, 5 Minutes

• Course Introduction
• GCP Machine Learning Engine
• Machine Learning APIs

Dataflow Autoscaling Pipelines

Course: 47 Minutes

• Course Introduction
• Apache Beam SDK
• Data Pipelines Using Beam Python SDK
• Data Pipelines Using Beam Java SDK
• Cloud Dataprep Initialization
• Ingestion of Data into a Pipeline
• Recipe Configuration with Cloud Dataprep
• Import/Export Flows and Dataflow Jobs

Machine Learning with TensorFlow and Cloud ML

Course: 1 Hour, 28 Minutes

• Course Introduction
• Exploring Machine Learning
• Machine Learning Datasets
• Loading Datasets for Cloud ML in GCP

GCP Engineering and Streaming Architecture

Course: 1 Hour, 17 Minutes

• Course Introduction
• Exploring Features
• Benefits of Quality Features
• Input Operations

Streaming Pipelines and Analytics

Course: 1 Hour, 11 Minutes

• Course Introduction
• Handling Late Data Recap
• Understanding Watermarks, Triggers, and Accumulation
• Configuring Storage, BigQuery Data, and Pub/Sub
• Configuring Cloud Functions
• Building a Streaming Data Pipeline
• Understanding Batch and Stream Operations

GCP Big Data and Security

Course: 1 Hour, 14 Minutes

• Course Introduction
• Introduction to Cloud Spanner
• Cloud Spanner Replication and Instances
• Cloud Spanner Schema, Datatypes and Best Practices
• Bigtable Operations
• Designing a Schema using Bigtable
• Creating a Bigtable Instance