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.
23credentials
45courses

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Explore the Data Lakes Course Catalog

  • Status: Free Trial

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing

  • Status: Free Trial

    Skills you'll gain: Data Lakes, Data Governance, Data Architecture, Data Management, Cloud Storage, Database Management, Data Warehousing, Data Access, Metadata Management, NoSQL, Star Schema, Data Quality, Big Data, Query Languages, Data Integration, Application Programming Interface (API), Performance Tuning

  • Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Dashboard, PySpark, SQL, Apache Spark, Data Management, Data Transformation, Version Control

  • Status: Free Trial

    Skills you'll gain: Databricks, Data Governance, Microsoft Azure, Data Lakes, Real Time Data, Data Management, Data Integration, Data Pipelines, Data Quality, User Provisioning, Performance Tuning

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

  • Skills you'll gain: Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Sharing, Metadata Management, Data Processing, Data Lakes, Data Pipelines, Data Integration, Data Warehousing, Cloud Storage, Big Data, Data Storage, Data Transformation

  • Skills you'll gain: Data Lakes, File Management, Microsoft Azure, Information Management, Data Management, Data Storage Technologies

  • Status: Free Trial

    Tableau Learning Partner

    Skills you'll gain: Data Governance, Data Ethics, Data Warehousing, Extract, Transform, Load, Data Quality, Data Management, Tableau Software, Data Lakes, Data Architecture, Data Literacy, Data Storage, Data Modeling, Data Infrastructure, Databases, Business Intelligence, Data Integrity, Spreadsheet Software, Database Management, Relational Databases

  • Status: Free Trial

    Arizona State University

    Skills you'll gain: Data Transformation, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Storytelling, Data Integration, Capacity Management, Data Analysis, Data Warehousing, Data Strategy, Data Management, Data Lakes, Unstructured Data, Business Intelligence, Data Governance, Data Access, Data Literacy, Solution Design, Data Quality

  • Skills you'll gain: Looker (Software), Data Transformation, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Analysis, Dashboard, Data Cleansing, Analytics, Data Processing, Google Cloud Platform, Data Visualization Software, Big Data, Data Lakes, Data Warehousing, SQL, Data Storage, Solution Architecture

  • Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Analysis, Analytics, Big Data, Business Analytics, Data Lakes, Google Cloud Platform, Data Visualization Software, Data Transformation, Data Manipulation, Dashboard, Data Cleansing, Data Processing, Cloud Storage, Data Warehousing, Data Storage, SQL

  • Status: Preview

    Coursera Instructor Network

    Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Data Lakes, Data Warehousing, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Distributed Computing