Professional Certificate in Cloud Data Architecture
-- ViewingNowThe Professional Certificate in Cloud Data Architecture is a crucial course designed to meet the increasing industry demand for data professionals who can design, implement, and manage secure cloud-based data solutions. This program equips learners with essential skills in cloud data architecture, big data, and data engineering, using industry-leading tools such as AWS, Microsoft Azure, and Google Cloud Platform.
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⢠Cloud Data Architecture Fundamentals: Understanding cloud data architecture and its components such as data storage, data processing, and data integration.
⢠Data Modeling in the Cloud: Learning how to design and implement data models in the cloud using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
⢠Data Security and Compliance in the Cloud: Understanding data security and compliance best practices in the cloud, such as encryption, access control, and data masking.
⢠Big Data Processing in the Cloud: Learning how to process big data using cloud-based technologies like Apache Hadoop, Apache Spark, or Google BigQuery.
⢠Cloud Data Warehousing: Understanding how to design, build, and manage cloud-based data warehouses using tools like Amazon Redshift, Azure Synapse Analytics, or Google Bigtable.
⢠Cloud Data Lake Design and Implementation: Learning how to design and implement data lakes in the cloud using services like Amazon S3, Azure Data Lake Storage, or Google Cloud Storage.
⢠Cloud Data Integration: Understanding how to integrate data from various sources into the cloud using tools like AWS Data Pipeline, Azure Data Factory, or Google Cloud Dataflow.
⢠Cloud Data Governance: Learning how to establish and maintain data governance in the cloud, including data quality, data lineage, and metadata management.
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