Modern Data Warehousing
What is data lake? what is synapse? how can i use it?
A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. The data can be stored in its raw format and can be used for multiple purposes such as reporting, analytics, and machine learning.
Azure Synapse Analytics (formerly SQL Data Warehouse) is a cloud-based analytics platform that allows you to analyze data from various sources, including data lakes. It is a fully managed service that allows you to perform big data integration, analytics, and data integration.
You can use Azure Synapse to connect to your data lake and perform various tasks such as data integration, data transformation, and data visualization. You can also use it to perform advanced analytics and machine learning on your data lake data. Additionally, you can use it to build and deploy data pipelines to automate your data integration and transformation tasks.
What is modern data warehousing?
Modern data warehousing refers to a new generation of data warehousing technologies and practices that are designed to handle the vast amounts of data being generated by today’s digital systems and devices. It includes features such as:
Scalability: The ability to handle large amounts of data, both structured and unstructured, and to scale up or down as needed.
Flexibility: The ability to handle a wide variety of data types and sources, including data from social media, IoT devices, and cloud services.
Speed: The ability to process and analyze data in real-time or near-real-time, rather than relying on batch processing.
Self-service: The ability for business users to access and analyze data without the need for IT support, using tools such as data visualization and exploration.
Cloud-based: The ability to run on cloud-based infrastructure, providing cost savings, scalability and ease of management.
Advanced analytics: The ability to perform advanced analytics, including machine learning and artificial intelligence, on data warehoused.
Modern data warehousing solutions often use cloud-based platforms and technologies, such as Azure Synapse Analytics, Amazon Redshift, and Google BigQuery, and may also incorporate technologies like Hadoop and Spark to enable distributed data processing and analytics.