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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45courses

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Explore the Data Lakes Course Catalog

  • Status: Free Trial

    Skills you'll gain: AWS Kinesis, Real Time Data, Apache Spark, Apache Hive, Data Pipelines, Apache Hadoop, Data Processing, Extract, Transform, Load, Amazon Web Services, Serverless Computing, Data Lakes, Data Visualization, Amazon S3, Query Languages, Performance Tuning

  • Skills you'll gain: Data Lakes, Google Cloud Platform, Data Management, Cloud API, Data Infrastructure, Data Analysis

  • Status: Free Trial

    Illinois Tech

    Skills you'll gain: NoSQL, Big Data, Apache Hadoop, Apache Spark, Data Infrastructure, Real Time Data, Apache Kafka, Data Management, Apache Cassandra, Apache Hive, Data Lakes, Data Storage Technologies, MongoDB, Databases, Data Architecture, Database Management Systems, Distributed Computing, Data Processing, Informatics, Cloud Computing

  • Skills you'll gain: Data Lakes, Data Access, Cloud API, Google Cloud Platform, Metadata Management, Data Governance, Cloud Computing, Data Analysis

  • Google Cloud

    Skills you'll gain: Data Lakes, Data Access, Query Languages, Google Cloud Platform, Big Data, Identity and Access Management, Cloud Storage, Data Integration, Data Management, Database Development

  • Skills you'll gain: Command-Line Interface, Data Lakes, Google Cloud Platform, Cloud Management, File Management, Cloud API, Data Access, Data Analysis

  • 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

  • Skills you'll gain: Data Pipelines, Data Sharing, Data Migration, Google Cloud Platform, Cloud Storage, Metadata Management, Extract, Transform, Load, Data Processing, Apache Airflow, Data Integration, Data Storage, Data Lakes, Automation, Serverless Computing, SQL

  • Status: New
    Status: Free Trial

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Lakes, Big Data, Linux Commands, Linux, File Systems, Data Management, Command-Line Interface, Data Processing, Software Installation, Distributed Computing, System Configuration

  • Status: Free

    Skills you'll gain: Cloud Storage, Google Cloud Platform, Cloud Management, Data Lakes, Data Import/Export, Data Storage, Data Storage Technologies, Data Migration

  • Status: Preview

    Skills you'll gain: Google Cloud Platform, Data Lakes, Extract, Transform, Load, Cloud Storage, Data Pipelines, Data Migration, Data Processing, Data Integration, SQL, Data Transformation, Data Sharing, Automation, Data Management

  • Status: New
    Status: Free Trial

    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, Encryption, Scalability

Related roles

Gain the knowledge and skills you need to advance.

  • This role has a £85,988 median salary ¹.

    description:

    A Data Architect designs and oversees data systems, ensuring efficient storage, security, and accessibility to support business objectives.

    This role has a £85,988 median salary ¹.

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