SCN GmbH

Google Cloud Data Engineering

Seminar / Training Google Cloud Data Engineering

Google Cloud Dataproc - Create and manage clusters - Custom machine types and preemptive worker nodes - Scale and delete clusters

Dataproc jobs - Running Pig and Hive jobs - Separating storage and compute power - Running Hadoop and Spark jobs with Dataproc - Sending and monitoring jobs

Integrate Dataproc with Google Cloud Platform - Customize clusters with initialization actions - BigQuery support - Use Google Cloud Platform services

Machine Learning APIs and unstructured data - Google APIs for machine learning - Common ML use cases - ML APIs - Machine learning features for Big Data analysis

Serverless data analysis with BigQuery - BigQuery overview - Queries and functions - Loading data into BigQuery - Exporting data from BigQuery - Nested and recurring fields - Querying multiple tables - Complex queries - Performance and pricing

Serverless, automatically scaled data pipelines with Dataflow - Beam programming model - Data pipelines in Beam Python - Data pipelines in Beam Java - Scalable Big Data processing with Beam - MapReduce in Dataflow - Adding additional data - Secondary inputs - Stream data - GCP reference architecture

Overview of Machine Learning (ML ) - Effective ML: Concepts, Types - ML Datasets: Generalization - Exploring and Creating ML Datasets

Creating ML models - Getting started with TensorFlow - tf.learn using TensorFlow graphs and loops - Low-level TensorFlow - Stopping early - Monitoring ML training - TensorFlow training graphs and charts

Scaling ML models with CloudML - Assembling a TensorFlow model - End-to-end training - Running ML model locally and in the cloud

Feature engineering - Creating features - Transforming inputs - Synthetic features - Preprocessing with Cloud ML

Streaming analytics pipeline architecture - Stream data processing - Process variable data setsProcess ordered/late data - Design streaming pipeline

Accommodate variable data volumes - Cloud Pub/Sub - Topics and Subscriptions Simulator

Implement streaming pipelines - Stream processing challenges - Process late data - Watermarking - Triggers - Accumulation

Streaming analytics and dashboards - from data to decisions - querying streaming data with BigQuery - Google Data Studio - creating real-time dashboards to visualize processed data

High throughput and low latency with Bigtable - Cloud Spanner - Bigtable schema - Recording into Bigtable - Streaming into Bigtable

We conduct this seminar online for you. You can book the training as a public seminar or as a company seminar. The practical exercises are carried out in our Remotelab and make up 40-50 percent of the seminar.

Your contacts

  • Promise Akachukwu Kelechi

    E-Mail:
    Phone: +234 1 227 9218

  • Peter Chidiebere Ugochukuw

    E-Mail:
    Phone: +234 1 227 9218

  • Raphael Chukuwgozie Ndubuisi

    E-Mail:
    Phone: +234 1 227 9218

We offer seminars with a high practical relevance. The contents and exercises are geared to your daily tasks in the company and completely dispense with advertising references to other products of the software manufacturer.

All our training courses are manufacturer-independent. This enables us to offer critical considerations of the products themselves and comparisons with competitors of the manufacturer in the seminar. The course contents are our own and derived from the practical experience of our trainers in projects.

Of course, the contents of company seminars can be individually adapted to your needs. Please do not hesitate to contact us.

Réservation


Das Seminar wurde auf die Merkliste gesetzt


Das von Ihnen gewählte Seminar wurde bereits auf die Merkliste gesetzt


Bitte wählen Sie einen freien Termin aus


Bitte geben Sie Ihren Wunschtermin im Format tt.mm.jjjj ein


Bitte wählen Sie einen freien Termin aus


Bitte geben Sie den gewünschten Termin im Format tt.mm.jjjj der Schulung ein

Duration 5 Days, approx. 6h/Day
1. Day: 10:00 Clock, more from 09:00 Clock
Price ₦ 1.179.610,00 plus VAT.
Seminar documents Original documentation of the manufacturer on data carrier / download / weblink
Certificate of attendance yes, of course
Barrier free access Available at most locations
Catering Cold / hot drinks, lunch (optional vegetarian) - not for company and online seminars
Support 3 calls included in the seminar price
Methods Lecture, demonstration, practical exercises on the system
Seminar types With trainer on site: Public or in-house - Alternatively orderable as webinar
Implementation guarantee yes, from 2 participants, max. 8 participants, Details

Choose a free date for Aba















Duration 5 Days, approx. 6h/Tag
1. Day: 10:00 Clock, more from 09:00 Clock
Price ₦ 3.262.751,00 plus VAT.
Seminar documents Original documentation of the manufacturer on data carrier / download / weblink
Certificate of attendance yes, of course
Barrier free access Available at most locations
Catering Cold / hot drinks, lunch (optional vegetarian) - not for company and online seminars
Support 3 calls included in the seminar price
Methods Lecture, demonstration, practical exercises on the system
Seminar types With trainer on site: Public or in-house - Alternatively orderable as webinar
Implementation guarantee yes, from 2 participants, max. 8 participants, Details

Enter your preferred date for Aba



Duration 5 Days, approx. 6h/Tag
1. Day: 10:00 Clock, more from 09:00 Clock
Price ₦ 1.179.610,00 plus VAT.
Seminar documents Original documentation of the manufacturer on data carrier / download / weblink
Certificate of attendance yes, of course
Barrier free access Available at most locations
Catering Cold / hot drinks, lunch (optional vegetarian) - not for company and online seminars
Support 3 calls included in the seminar price
Methods Lecture, demonstration, practical exercises on the system
Seminar types With trainer on site: Public or in-house - Alternatively orderable as webinar
Implementation guarantee yes, from 2 participants, max. 8 participants, Details

Please select a free date