Azure Data Analytics Overview

​Enterprise analytics must work at massive scale on any kind of data, whether raw, refined, or highly curated. This typically requires enterprises to stitch together big data and data warehousing technologies into complex data pipelines that work across data in relational stores and data lakes. These kinds of solutions are difficult to build, maintain, and secure. Their complexity delays delivering the insight enterprises need.

 
 

Azure Synapse is an integrated analytics service that accelerates time to insight across data warehouses and big data systems. Azure Synapse brings together the best of SQL technologies used in enterprise data warehousing, Spark technologies used for big data, and Pipelines for data integration and ETL/ELT. Synapse Studio provides a unified experience for management, monitoring, coding, and security. Synapse has deep integration with other Azure services such as Power BI, CosmosDB, and AzureML.

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Key Features & Benefits

  • Synapse SQL is a distributed query system that enables enterprises to implement data warehousing and data virtualization scenarios using standard and familiar T-SQL experiences. It also expands the capabilities of SQL to address streaming and machine learning scenarios. 
  • Synapse SQL offers both serverless and dedicated resource models, offering consumption and billing options to fit your needs. For predictable performance and cost, create dedicated SQL pools to reserve processing power for data stored in SQL tables. For unplanned or bursty workloads, use the always-available, serverless SQL endpoint. 
  • Use built-in streaming capabilities to land data from cloud data sources into SQL tables 
  • Integrate AI with SQL by using machine learning models to score data using the T-SQL PREDICT function 

​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.

  • ML models with SparkML algorithms and AzureML integration for Apache Spark 2.4 with built-in support for Linux Foundation Delta Lake. 
  • Simplified resource model that frees you from having to worry about managing clusters. 
  • Fast Spark start-up and aggressive autoscaling. 
  • Built-in support for .NET for Spark allowing you to reuse your C# expertise and existing .NET code within a Spark application. 

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.

  • A shared Hive-compatible metadata system allows tables defined on files in the data lake to be seamlessly consumed by either Spark or Hive. 
  • SQL and Spark can directly explore and analyze Parquet, CSV, TSV, and JSON files stored in the data lake. 
  • Fast scalable load and unload for data going between SQL and Spark databases

Azure Synapse comes built-in with 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.

  • Ingest data from 90+ data sources 
  • Code-Free ETL with Data flow activities 
  • Orchestrate Notebooks, Spark jobs, Stored procedures, SQL scripts, and more

Azure Synapse provides a single way for enterprises to manage analytics resources, monitor usage and activity, and enforce security.

  • Assign users to Role to simplify access to analytics resources 
  • Fine-grained access control on data and code 
  • A single dashboard to monitor resources, usage, and users across SQL and Spark 

Synapse Studio is the web-native experience that ties everything together for data engineers, allowing them in one location to do every task they need to build a complete solution.

  • Build an end-to-end analytics solution in one place: ingest, explore, prepare, orchestrate, visualize 
  • Industry-leading productivity for data engineers writing SQL or Spark code: authoring, debugging, and performance optimization 
  • Integrate with enterprise CI/CD processes 
  • across SQL and Spark 

How it Works

The result of employees, over 115 detailers and engineers, all coming together to solve problem before they arise. the teamwork it demonstrates both internally and externally is outstanding in the creation of landmark buildings the legacy of the financial crisis has meant a few tricky years for many banks.

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Done well, communication and marketing helps get strategy delivered. That’s a higher order outcome than simply changing perceptions work builds

Done well, communication and marketing helps get strategy delivered. That’s a higher order outcome than simply changing perceptions work builds

Done well, communication and marketing helps get strategy delivered. That’s a higher order outcome than simply changing perceptions work builds