Azure Data Architecture

1. Azure Data
Factory
• Azure Data Factory (ADF) is a cloud-
based data integration service that
allows you to create, manage, and
monitor data pipelines. It enables you to
collect data from on-premises and cloud
sources, transform and process it, and
load it into data warehouses, data lakes,
and other data destinations.

2. Azure Synapse
Analytics
• Azure Synapse Analytics is a unified
data platform that brings together data
warehousing and big data analytics. It
provides a comprehensive set of services
for ingesting, storing, managing, and
analysing data of all sizes and types.
Azure Synapse Analytics is built on Azure
Data Lake Storage, which provides a
scalable and cost-effective way to store
large amounts of data. It also integrates
with other Azure services, such as Azure
Data Factory, Azure Data Lake Analytics,
and Azure Machine Learning, to provide a
complete end-to-end data analytics
solution.

3. Azure Data Lake
Storage (ADLS)
Azure Data Lake Storage
(ADLS) is a highly scalable
cloud-based storage service
designed to store and manage
massive amounts of structured,
semi-structured, and
unstructured data. It is a key
component of Microsoft Azure's
Big Data platform and provides
a centralized repository for all
types of data, regardless of size
or format.
 Scalable and Cost-Effective: ADLS can store petabytes of
data and can scale elastically to meet the demands of your
data storage requirements. It also offers a variety of
storage tiers to optimize costs based on access patterns.
 Hierarchical File System: ADLS utilizes a hierarchical file
system structure, similar to traditional file systems, making
it easy to organize and manage large datasets.
 High Performance: ADLS is designed for high-performance
data access, with low latency and high throughput,
enabling efficient data processing and analytics.
 Security and Compliance: ADLS incorporates robust
security features, including role-based access control
(RBAC), encryption, and data protection policies, to ensure
the confidentiality, integrity, and availability of data.
 Integration with Azure Services: ADLS integrates
seamlessly with other Azure Big Data services, such as
Azure Databricks, Azure Synapse Analytics, and Azure
Data Factory, enabling a comprehensive data analytics
ecosystem.

4. Azure Cosmos DB
Azure Cosmos DB is a globally
distributed, multi-model
database service for managing
NoSQL and relational data. It
offers a unique set of features
that make it ideal for modern
applications that require low
latency, high availability, and
global scale.

5. Data redundancy is the storing of the same data in multiple
locations within a database or data storage system. It can occur
intentionally or accidentally.