1. Machine Learning Terminologies Google Cloud Platform (GCP) and the context of a data engineer working with machine learning, there are several key terminologies and concepts to be familiar with. - Google Cloud Data Engineer Training Here's a list of important terms: 1. Google Cloud Platform (GCP): Google's suite of cloud computing services, which includes a variety of tools and services for data storage, processing, analytics, and machine learning. 2. BigQuery: Google's fully-managed, serverless data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure. It's commonly used for analytics and business intelligence. 3. Cloud Storage: GCP's object storage service, providing scalable and durable storage for data. - GCP Data Engineer Training in Ameerpet 4. Dataflow: A fully-managed service for stream and batch processing. It's based on Apache Beam and allows for the building of data pipelines. 5. Dataprep: A cloud-based data preparation service for cleaning, enriching, and transforming raw data into a more usable format for analysis. 6. Dataproc: A fully-managed cloud service for running Apache Spark and Apache Hadoop clusters. - Google Cloud Training Institute in Hyderabad 7. AI Platform (formerly known as ML Engine): A managed service for building, deploying, and scaling machine learning models using TensorFlow.

2. 8. TensorFlow: An open-source machine learning framework developed by the Google Brain team. It is widely used for building and training deep learning models. 9. Bigtable: A fully-managed, scalable NoSQL database service for large analytical and operational workloads. - GCP Data Engineer Online Course 10. Pub/Sub (Cloud Pub/Sub): A messaging service that allows communication between independent applications. 11. AutoML: A suite of machine learning products that enables developers with limited machine learning expertise to train high-quality custom machine learning models. 12. Kubernetes Engine (GKE): A managed Kubernetes service for deploying, managing, and scaling containerized applications. 13. Cloud Composer: A fully-managed workflow orchestration service that allows you to create, schedule, and monitor pipelines that span across multiple GCP services. - GCP Training in Hyderabad 14. Datalab: An interactive tool for exploring, analyzing, and visualizing data using Python, SQL, and TensorFlow. 15. Cloud SQL: A fully-managed relational database service for MySQL, PostgreSQL, and SQL Server. 16. Cloud Datastore: A NoSQL document database built for automatic scaling, high performance, and ease of application development. 17. Cloud Spanner: A globally-distributed, strongly consistent, and horizontally scalable database service. Contact us +91-9989971070 Register now for GCP Data Engineer Online Training Visit: https://www.visualpath.in/GCP-Data-Engineer-online-traning.html