Understanding Azure Synapse Analytics
What is Azure Synapse Analytics?
Image Source : Microsoft Azure
Data Warehouse is the central repository of integrated data from one or more disparate data sources aggregated as per business needs which is later used for reporting and data analysis. This is one of the core components of Business Intelligence.
Big Data analytics is a process to extract meaningful insights, hidden patterns, unknown correlations, market trends from data sets that are too large or complex to be dealt with by traditional data-processing application software.
Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing and big data analytics.
Azure Synapse Analytics facilitates to query data on your terms, using either serverless or dedicated resources—at scale. Azure Synapse brings these worlds together with a unified experience to ingest, explore, prepare, transform, manage and serve data for immediate Business Intelligence and machine learning needs.
Azure Synapse Analytics being an enterprise analytics service offered by Microsoft, consists of various key components like –
- the best of SQLtechnologies used in enterprise data warehousing,
- Sparktechnologies used for big data,
- Data Explorerfor log and time series analytics,
- Pipelinesfor data integration and ETL / ELT,
- Deep integration with other Azure services such as
- Power BI, CosmosDB, and AzureML.
Synapse SQL is a distributed query system for T-SQL that enables data warehousing and data virtualization scenarios and extends T-SQL to address streaming and machine learning scenarios.
Unlike an ordinary SQL Server database engine, Azure Synapse Analytics can receive data from a wide variety of sources. To do this, Azure Synapse Analytics uses a technology named PolyBase. PolyBase enables you to retrieve data from relational and non-relational Data sources DB without separately installing client connection software.
Apache Spark for Azure Synapse deeply and seamlessly integrates Apache Spark–the most popular open source big data engine used for data preparation, data engineering, ETL, and machine learning.
Azure Synapse removes the traditional technology barriers between using SQL and Spark together. You can seamlessly mix, and match based on your needs and expertise.
Azure Synapse contains the same Data Integration engine and experiences as Azure Data Factory, allowing you to create rich at-scale ETL pipelines without leaving Azure Synapse Analytics.
Azure Synapse Data Explorer provides customers with an interactive query experience to unlock insights from log and telemetry data. To complement existing SQL and Apache Spark analytics runtime engines, Data Explorer analytics runtime is optimized for efficient log analytics using powerful indexing technology to automatically index free-text and semi-structured data commonly found in the telemetry data.
Synapse Studio provides a single way for enterprises to build solutions, maintain, and secure all in a single user experience
- Perform key tasks: ingest, explore, prepare, orchestrate, visualize
- Monitor resources, usage, and users across SQL, Spark, and Data Explorer
- Use Role-based access control to simplify access to analytics resources
- Write SQL, Spark or KQL code and integrate with enterprise CI/CD processes
Image Source – Microsoft Azure
Azure Synapse is used for Run analytics at a massive scale by using a cloud-based enterprise data warehouse that takes advantage of massively parallel processing to run complex queries quickly across petabytes of data.
Traditional data warehouses and reports can’t scale to provide the intelligence and insight that business executives demand in today’s world. To make good strategic decisions, businesses need to find new insights quickly and effectively in their data. This can only come through more advanced tools and an improved understanding of how to get the most from them.
Azure Synapse has an intelligent architecture that makes it industry-leading in unifying big data workloads with traditional data warehousing.
Limitless analytics at incredible value is Simply unmatched. Analytics in Azure is up to 380 percent faster and costs up to 49 % less than other cloud providers.
Azure Synapse has been found to offer a significantly better price-to-performance ratio when compared with similar services from other cloud providers.
Image Source – Microsoft Azure
Make insights accessible to all your teams, using analytics solutions compatible with your existing development, business intelligence, and data science tools. Bring petabyte-scale analytics to Power BI using Azure Synapse Analytics.
Power BI users can easily access and analyze enterprise data using a common data schema without needing complex data transformation. Customers looking for petabyte-scale analytics can leverage Power BI Aggregations with Azure SQL Data Warehouse for rapid query.
Get a comprehensive set of security capabilities with data protection, access control, and built-in threat detection. Make the comparison and you will see Azure is the most trusted cloud in the market.
In a nutshell, the Azure Analysis Services provide a platform where you do not have to worry about managing virtual machines but only think about seeking better insights from your data and managing its accuracy.
Intellify has been a Microsoft partner for more than 7 years now. Our experts know Microsoft’s systems and services inside out, and this expertise has helped us in cultivating efficient data analysis cultures across enterprises.
Allow us to evaluate and transform your existing services too. Contact representatives at Intellify today.