Data Lakes

Data Lakes are centralized repositories that allow you to store all your structured and unstructured data at any scale. Coursera's Data Lakes catalogue teaches you the principles of creating, managing and utilizing data lakes for big data analytics. You'll learn how to design and implement data lake infrastructure, manage data ingestion, storage, and consumption, and optimize data lake architecture for various analytics needs. You'll also understand data privacy, security, and governance in data lakes. This skill is valuable whether you are a data scientist, data engineer, IT manager, or someone interested in handling big data analytics.
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Explore the Data Lakes Course Catalog

  • Coursera Project Network

    Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Data Lakes, Cloud-Based Integration, Microsoft SQL Servers, Transact-SQL, Data Integration, Cloud Storage, File Management

    4.6
    Rating, 4.6 out of 5 stars
    96 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Google Cloud

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Big Data, Data Processing, Data Lakes, Apache Airflow, Analytics, Data Storage, Data Transformation, Metadata Management, Apache Spark, Automation, Real Time Data, Serverless Computing

    Beginner · Course · 1 - 3 Months

  • Coursera Project Network

    Skills you'll gain: Data Pipelines, Big Data, Data Lakes, Microsoft Azure, Data Processing, Data Integration, Cloud Management, Cloud Services

    4.6
    Rating, 4.6 out of 5 stars
    21 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Google Cloud

    Skills you'll gain: Google Cloud Platform, Data Lakes, Metadata Management, Taxonomy, MLOps (Machine Learning Operations)

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    Whizlabs

    Skills you'll gain: Microsoft Azure, Azure Synapse Analytics, Data Integration, Cloud Storage, Data Lakes, Data Pipelines, Data Storage, Databricks, Microsoft SQL Servers, NoSQL, .NET Framework, Data Security, Real Time Data, Encryption, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Identity and Access Management, Cloud Security, Google Cloud Platform, Data Lakes, Cloud Storage, Data Security, Data Access, Role-Based Access Control (RBAC), Cloud Computing, Big Data, Data Analysis

    Beginner · Project · Less Than 2 Hours

  • Google Cloud

    Skills you'll gain: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Big Data, Data Integration, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Transformation, Apache Spark, Serverless Computing

    Beginner · Course · 1 - 3 Months

  • Google Cloud

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Data Lakes, Data Integration, Data Transformation, Exploratory Data Analysis, Cloud Management, Data Management, DevOps

    Advanced · Project · Less Than 2 Hours

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Kubernetes, Google Cloud Platform, Microsoft Azure, Cloud Storage, Data Lakes, Containerization, Hybrid Cloud Computing, Multi-Cloud, Cloud Computing Architecture, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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