This 1-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, learners will get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility and power of big data solutions on Google Cloud Platform. Note: students should have basic proficiency with common query language such as SQL, experience with data modeling, extract, transform, load activities. Additionally, participants should also have experience with developing applications using a common programming language such Python, and also have familiarity with Machine Learning and/or statistics.
Target Audience
Data Analysts, Data Scientists or Business Analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports, and/or IT decision makers evaluating Google Cloud Platform for use by data scientists.
What You'll Learn
- Purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
- Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
- Employ BigQuery and Cloud Datalab to carry out interactive data analysis
- Train and use a neural network using TensorFlow
- Employ ML APIs
- Choose between different data processing products on the Google Cloud Platform
- Course Number AGCPFI
- Course Length 1 day
- Course Fee $895.00
- Delivery Format vILT (Instructor Led; Virtual LIVE Online; Remote Training)
- Course Topic Architecture and Design
- Vendor Google
- Technology Linux/Unix
Register for course: AGCPFI
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