GCP Data Engineering

  Main Features of Cloud Services: A Beginner's Guide Cloud services  have revolutionised how we use, store, and manage data and applications. They offer a wide range of features, making them an attractive option for businesses, developers, and users. Here's a beginner-friendly overview of the main features of cloud services:  Google Cloud Data Engineer Online Training 1. On-Demand Self-Service Definition : Users can provision computing resources as needed without human intervention from the service provider. Benefit : Immediate access to resources like storage, computing power, and networking, enabling quick deployment and scalability. 2. Broad Network Access Definition:  Through standard protocols that encourage use by several platforms (e.g., mobile phones, tablets, laptops, and workstations), cloud services are accessible over the network.  Google Cloud Data Engineer Training Benefit : Access your data and applications from anywhere in the world with an Inte...

  GCP Course: Best Concepts The  Google Cloud Data Engineering  Course is designed to equip professionals with the skills to design, build, and manage data processing systems on Google Cloud Platform (GCP). Here are the key concepts and components covered in the course:   GCP Data Engineer Training in Hyderabad 1. Introduction to Data Engineering on GCP Overview of Data Engineering:  Understanding the role of a data engineer, including tasks such as data ingestion, transformation, storage, and analysis. Google Cloud Platform Overview:  Introduction to GCP services relevant to data engineering, including their features and use cases. 2. Data Storage and Databases Cloud Storage:  Learn how to use Google Cloud Storage to store and manage unstructured data. Key concepts include buckets, objects, and access controls.  Google Cloud Data Engineer Training BigQuery:  An in-depth look at Google’s serverless, highly scalable, cost-effective multi-cloud...

  GCP Data Engineering and AWS Data Engineering?              Choosing between  Google Cloud Platform  (GCP) and  Amazon Web Services   (AWS) for data engineering depends on various factors including your project's specific needs, your organisation's existing ecosystem, and your team's skill sets. Both platforms offer robust data engineering tools and services, but they have unique strengths and weaknesses. Here’s a comparative analysis to help determine which might be better for your data engineering needs.   GCP Data Engineering Training Service Offerings Google Cloud Platform (GCP) 1.    BigQuery :  GCP’s  fully managed, serverless data warehouse is renowned for its ability to handle large-scale data analytics quickly. It supports SQL queries and offers built-in machine-learning capabilities, making it a powerful tool for data scientists and engineers alike. 2.  ...

GCP Data Engineering Online Recorded Demo Video Mode of Training: Online Contact +91-9989971070 Visit: https://visualpath.in/ WhatsApp: https://www.whatsapp.com/catalog/917032290546/ Subscribe  Visualpath channel  https://www.youtube.com/@VisualPath Watch demo video@ https://youtu.be/61bcOeoDauI?si=rG-Zpi9oXGgDGPcK

  What is a DLP API?       A  Data Loss Prevention  API (Application Programming Interface) is a programmatic tool offered by cloud service providers like  Google Cloud Platform  (GCP) to inspect and manage sensitive data within your systems. It acts as a bridge between your applications and the DLP service, allowing you to integrate data security directly into your workflows.  GCP Data Engineering Training How Does a DLP API Work? The DLP API functions in three key stages: 1.    Data Inspection:  You send your data (text, images, or stored files) to the DLP API. The API scans the data using pre-built detectors (like credit card number patterns) or custom detectors you create to identify sensitive information. 2.     Risk Analysis:  Once sensitive data is found, the API analyzes the risk of exposure. This might involve assessing the context of the data, the potential consequences of a leak, and the level of prote...

  What is Google Cloud SQL? Google Cloud SQL is a fully managed relational database service that  Google Cloud Platform  (GCP) provides. It supports MySQL, PostgreSQL, and SQL Server, taking care of database management tasks such as provisioning, backups, updates, and scaling. This service allows developers to focus on building applications rather than handling database infrastructure.  GCP Data Engineering Training Key Benefits: 1.   Managed Service:  Automates essential tasks like maintenance, backups, and updates. 2.       Scalability:  Easily adjust resources to match your needs. 3.   High Availability:  Offers built-in high availability with automatic failover and replication. 4.     Security:  Provides data encryption at rest and in transit, integrated with Google’s Identity and Access Management (IAM) for robust access control. Setting Up Google Cloud SQL Prerequisites: A Google Cloud Platfo...