Azure Synapse Analytics

Azure Synapse Analytics for unified experience to ingest, explore, prepare, transform, manage data. Prepare data for Insights, immediate BI and machine learning needs.

Azure Synapse Analytics

It is a limitless analytics service that brings together data integration, enterprise data warehousing and big data analytics. It gives you the freedom to query data on your terms, using either serverless or dedicated option at scale.  

Azure Synapse for Machine Learning

Azure Synapse brings worlds together with a unified experience to ingest, explore, prepare, transform, manage and serve data for immediate BI and machine learning needs.

Database Templates

DB templates in Azure Synapse are industry-specific schema definitions that provide a quick method of creating a database known as a lake database. With any database, it contains a well-defined schema for a business solution.

Azure Synapse for Data lake

This schema includes tables, columns, and relationships that represent transactional, operational, and business semantic data. Azure Synapse is used to perform big data operations on a lake database via either SQL or Spark compute pools.

Azure Synapse for CRM Tools

Data processing pipelines in Azure Synapse provide hundreds of connectors like SAP ECC, Dynamics CRM, Magento. The data in the lake database is stored in and creates the foundation of an enterprise data lake.

Why iBeris for Azure Synapse?  

Expertise on Inventory Data

IBeris team has a good experience on providing solutions on inventory data, data about stock and warehouse, Business Intelligence for leading System manufacturers, automobile manufacturers, retail chain and service networks. We have active clients who use our business intelligence solutions from various part of Asia and Europe.

IBeris team on Sales, Service Data

In our current projects we deal with study of data for Sales and Service networks for FMCG products for retail shops, sales counters and van sales. The analysis reveals surprise results on fast and slow moving goods, customers demanding frequent services, replacement of goods, spare parts and so on. The clients are from India and USA.

IBeris on Data Visualization

Data unification of different operational sources to deploy real-time exploratory solutions with the help of BI tools such as PowerBI and Tableau. Collaborating with Power-BI, Tableau or Excel for faster, quicker, insights in the form of graphical objects and elevates informal decision making.

Features of Azure Synapse Analytics

  • Intelligent workload management for data warehouses.
  • Serverless data lake exploration with T-SQL.
  • Fast exploration of log and telemetry data. 
  • Power BI performance accelerator for Azure Synapse Analytics.
  • Auto-pause/resume and autoscale for Apache Spark workloads.
  • Power BI integration. Streaming analytics.
  • Azure Machine Learning Integration.
  • Code Free ETL/ ELT Data Integration.  
  • Unified management and monitoring. 
Features of Azure Synapse Analytics
Benefits of Azure Synapse

Benefits of Azure Synapse

  • Synapse performs well, has easy integration with the Azure ecosystem, and offers a more diverse experience for data processing and database type.  
  • Azure Synapse has powerful features like CSV support, user-controlled file selection, machine learning capabilities, Integration with data lakes, Integration with IOT all in a single platform  
  • Azure synapse is 14 times faster with high performance and costs less than other cloud service providers. 
  • Real life usage of Azure Synapse Analytics is that it can perform very complex queries and aggregations. Using this, we can create a dashboard that is a combination of sheets or views that helps us to compare a vast amount of data  by providing excellent and user-friendly features through visualization by different types of graphs. 
iberis faq

FAQ for Azure Synapse Analytics

Yes! All Pipeline artifacts, notebooks, SQL scripts, and Spark job definitions will reside in Git. All pool definitions will be stored in Git as Azure Resource Manager (ARM) templates. Dedicated SQL pool objects (schemas, tables, views, etcetera.) will be managed with database projects with CI/CD support.

The number of compute nodes ranges from 1 to 60, and is determined by the service level for the dedicated SQL pool. Each Compute node has a node ID that is visible in system views

Although it is not an individual metrics to identify for a minimum recommended size, Azure Synapse is an appropriate fit for data size and workload for 1 TB and more.

Synapse stores data in a columnar format and enables distributed querying capabilities, which is better suited for the performance of OLAP workloads. SQL Pools have built-in support for data streaming

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