Google Data Engineer - Engineering - Data Analyse - Data management - Data Science - Datakwaliteit / Data Quality - Google Data Studio

Na inschrijving van de Award Winning E-learning training Google Data Engineer, ontvangt u per e-mail een link om in te loggen in uw leeromgeving waar u een persoonlijk wachtwoord aanmaakt. Eenmaal ingelogd in uw persoonlijke leeromgeving ziet u een overzicht van de cursusonderdelen. Via de inhoudsopgave schakelt u automatisch over naar elk gewenst onderdeel van de training. Er zit tevens een Voortgangsbewaking bij om eenvoudig te zien hoe ver u bent binnen uw training. U kunt daarbij 1 jaar lang (365 dagen), 24/7 (elke dag en nacht) inloggen om verder te gaan met de training. Deze Engelstalige training met ondertiteling heeft interactieve, eenvoudig te volgen video's in HD beeldkwaliteit met heldere audio kwaliteit. Daarnaast biedt de training Support en/of een Online Mentor aan als u problemen ondervindt. De training is beschikbaar in elke browser voor zowel PC, Mac, Tablet én Smartphone. Dus zelfs via uw mobiel kunt u handig de training volgen. De training is inclusief lees- en/of praktijkopdrachten met trainingstest, mits noodzakelijk voor de training. Na afronding van de training krijgt u een Certificaat van Deelname en sluit u zich aan bij de reeds duizenden tevreden cursisten. Cursusinhoud GCP Fundamentals Course: 24 Minutes Course Introduction Google Cloud Platform Concepts Navigating Google Cloud Platform Services Benefits of Google Cloud Platform Comparing GCP and Other Models GCP Account Management Course: 21 Minutes Creating a GCP Account Navigating the GCP Console Creating a Project Using GCP BigQuery Practice: Fundamentals of GCP Course: 4 Minutes Exercise: Using GCP Data Products and Services GCP Compute and Storage Fundamentals Course: 19 Minutes Course Introduction Compute and Storage Introduction CPUs on Demand with Google Compute Engine Cloud Storage Creating and Starting an Instance Transforming Data with GCP Course: 28 Minutes Google Cloud Shell Introduction Activating and Using Google Cloud Shell Creating and Starting a VM Instance in Cloud Shell Creating a Cloud Storage Bucket in Cloud Shell Exploring GCP Data Analytics Course: 21 Minutes Data Analysis with GCP Introduction to Cloud SQL Creating a MySQL Database with Cloud SQL Creating a PostgreSQL Database with Cloud SQL Practice: Navigating Google Cloud Platform Course: 6 Minutes Exercise: Use GCP Storage, Compute and Analytics Further Analysis Concepts Course: 7 Minutes Course Introduction Importing Data with Cloud SQL Hadoop and GCP Course: 10 Minutes Hadoop in GCP Spark on Dataproc SparkML Analysis at Scale Course: 23 Minutes Fast Random Access with GCP GCP Cloud Data Lab BigQuery Introduction Machine Learning and Building Datasets TensorFlow Framework and Machine Learning Practice: Analysis and Machine Learning Course: 6 Minutes Exercise: Combining Analysis with Machine Learning GCP Network Modeling Course: 10 Minutes Course Introduction Introduction to GCP Networks Using GCP Models to Create a Network Machine Learning with TensorFlow GPU Course: 8 Minutes Using TensorFlow for Machine Learning Using Common Machine Learning APIs Data Processing Architecture Course: 19 Minutes Processing Data with GCP Messaging Middleware Pub and Sub Working with GCP Pipelines Creating Dataflow Pipelines Using Real-time and Batch Data Processing Practice: Data Analysis and Processing Course: 6 Minutes Exercise: Analyzing Data Processing Cloud Dataproc Course: 19 Minutes Course Introduction Overview of Data Management in GCP Exploring Cloud Dataproc Accessing Cloud Dataproc Using the Cloud Dataproc Dashboard Cluster Management Course: 19 Minutes Creating Clusters in GCP Deleting Clusters in GCP Defining Cluster Master and Worker Nodes Using Custom Machine Types and Preemptible Workers Using Dataproc Identity and Access Management Practice: Cloud Data and Cluster Management Course: 6 Minutes Exercise: Cluster Management and Dataproc Continued Study of Cluster Management Course: 9 Minutes Course Introduction Clusters with the CLI Dataproc REST API Architecture and Machine Types Course: 15 Minutes Dataproc Architecture Machine Types Custom Machine Types Dataproc Jobs Course: 7 Minutes Dataproc Job Execution HDFS and GCS Pig and Hive Course: 8 Minutes Introduction to Pig and Hive Pig and Hive Jobs Practice: Dataproc Implementations Course: 8 Minutes Exercise: Concepts in Dataproc Implementations Implementation using Dataproc Course: 24 Minutes Course Introduction Spark and Hadoop Processes Benefits of Cloud Dataproc Job Monitoring and Logging SSH into Master and Worker Nodes Spark REPL Implementation using Cloud Shell Course: 24 Minutes Separation of Compute and Storage BigQuery Features and Capabilities MapReduce with Big Data Job Submission with Cloud Shell Practice: Dataproc Implementations Course: 11 Minutes Exercise: Dataproc and Cloud Shell Implementations Complex GCP Implementations with Dataproc Course: 34 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 Jupyter and Datalab Course: 35 Minutes Programming Notebooks with Jupyter and Datalab Using Jupyter Notebooks with Apache Spark Using Google Cloud Storage and SQL Querying Data with Google Bigtable Using Google APIs Practice: Complex GCP with Big Data Course: 11 Minutes Exercise: Using Dataproc with Bigtable and Datalab Exploring BigQuery Course: 34 Minutes Course Introduction Introduction to BigQuery BigQuery Exploring Datasets, Tables, and Views Writing Queries with BigQuery Big Query - Loading Data Exporting with BigQuery BigQuery Operations Course: 33 Minutes Using Nested and Repeated Fields Using Complex Queries Multiple Table Queries Building BigQuery Queries Practice: BigQuery Fundamentals Course: 13 Minutes Exercise: BigQuery Concepts and Operations Cloud Machine Learning Engine Course: 15 Minutes Course Introduction GCP Machine Learning Engine Machine Learning APIs Exploring ML APIs Course: 29 Minutes Using the Vision API Using the Natural Language API Using the Translation and Speech API Invoking ML APIs Using ML REST APIs Implementing Vision API Course: 10 Minutes Cloud Vision API and Kubernetes Cluster Practice: Overview of GCP ML APIs Course: 12 Minutes Exercise: Implementing ML APIs with GCP Expressing Data Pipelines Course: 32 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 Big Data Processing Course: 7 Minutes MapReduce Process versus Cloud Dataflow Serverless Architecture and Data Analytics Practice: Create and Manage Pipelines Course: 8 Minutes Exercise: Using Beam, Dataflow, and Dataprep Machine Learning Fundamentals Course: 15 Minutes Course Introduction Exploring Machine Learning Machine Learning Datasets Loading Datasets for Cloud ML in GCP Machine Learning and TensorFlow Course: 50 Minutes Understanding TensorFlow Running a TensorFlow Python Program Using TensorFlow to Run a Local Trainer Using TensorBoard to Inspect Logs Running Local Trainers in Distributed Mode Running a Single-instance Trainer in the Cloud Inspecting Stackdriver Logs Scaling with Cloud ML Course: 14 Minutes Understanding Cloud ML Scaling Running Distributed Training in the Cloud Using Hyperparameter Tuning Practice: TensorFlow and Cloud ML Course: 10 Minutes Exercise: Using TensorFlow and Cloud ML GCP Feature Engineering Course: 19 Minutes Course Introduction Exploring Features Benefits of Quality Features Input Operations Feature Engineering Operations Streaming Architecture Course: 52 Minutes Exploring Stream Data Exploring Dataflow Triggers and Late Data Installing Java JDK on Windows 10 Installing Apache Maven on Windows 10 Installing Google Cloud SDK on Windows 10 Implementing Streaming Pipelines with Java Implementing Streaming Pipelines with Python Practice: Feature Engineering and Streaming Course: 6 Minutes Exercise: Features and Streaming Data Models Data Stream Operations Course: 36 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 Streaming Analytics Course: 9 Minutes Understanding Streaming Analytics Working with Big Data Streaming and BigQuery Streaming Dashboard Course: 13 Minutes Using Google Data Studio Building a Dashboard with Google Data Studio Stream Processing Pipelines Course: 6 Minutes Using Pipelines, PCollections, and Transforms Practice: Exploring Streams and Analytics Course: 7 Minutes Exercise: Using Streaming and Analytics Operations Handling Throughput Operations Course: 42 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 Security Considerations Course: 25 Minutes Secure Data with Security Control Identify and Access Management GCP Security Layers Data and Security Compliance on GCP Practice: Big Data and Security Course: 7 Minutes Exercise: Overview of Big Data and Security Specificaties Taal: EngelsKwalificaties van de Instructeur: GecertificeerdCursusformaat en Lengte: Lesvideo's met ondertiteling, interactieve elementen en opdrachten en testenLesduur: 15:42 uurVoortgangsbewaking: JaToegang tot Materiaal: 365 dagenTechnische Vereisten: Computer of mobiel apparaat, Stabiele internetverbindingen Webbrowserzoals Chrome, Firefox, Safari of Edge.Support of Ondersteuning: Helpdesk en online kennisbank 24/7Certificering: Certificaat van deelname in PDF formaatPrijs en Kosten: Cursusprijs zonder extra kostenAnnuleringsbeleid en Geld-Terug-Garantie: Wij beoordelen dit per situatieAward Winning E-learning: Ja Tip! Zorg voor een rustige leeromgeving, tijd en motivatie, audioapparatuur zoals een koptelefoon of luidsprekers voor audio, accountinformatie zoals inloggegevens voor toegang tot het e-learning platform.