The dynamics of analytics services are witnessing a paradigm shift with the launch of the Azure Synapse Analytics platform. Azure Synapse, built on Azure SQL Data warehouse, is an evolved analytics service, intended to bridge the gap between data warehouses and data lakes. It offers a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning applications.
According to Gartner’s prediction, “Through 2022, over 80% of data lake projects will fail to deliver value as finding, inventorying and curating data will prove to be the biggest inhibitor to analytics and data science success.” Moreover, businesses are struggling with manually classifying and inventorying distributed and heterogeneous data assets that deliver value. Considering all this, Azure Synapse might prove to be a game-changer with its varied features and functionalities. Azure machine learning, Power BI and SQL data warehouse form the basic building blocks of most of our Data & AI solutions. This gives us a first-hand advantage of utilizing the Synapse platform to reduce the time to insights.
Enterprise can now fire a query on their terms without much difficulty. With the options of serverless on-demand provisional resources at scale, the user can gather data as per their suitability.
Let’s take a look at the Features!
Azure Synapse offers features that provide a limitless scale, powerful insights, unified experience and unmatched security.
- Limitless Scale
Relational and Non-Relational Data can be queried at petabyte-scale using the familiar SQL language. With Azure, insights from all data across data warehouses and big data analytics systems are delivered with blazing speed. Mission-critical workloads can easily optimize the performance of all queries, owing to its intelligent workload management, workload isolation and limitless concurrency.
- Powerful Insights
With the deep integration of Power BI and Azure Machine Learning (ML), an expanded discovery of insights into the user’s data is something to talk about. With this insight, the user can apply machine learning models to all their intelligent apps, thus making machine learning and BI very feasible.
Besides, the limitless analytics service facilitates the seamless application of intelligence to the vast data, from Dynamics 365, Office 365 to SaaS services that support Open Data Initiative. This way, data is shared with the user in just a few clicks.
- Unified Experience
Unified experience with a unified workspace for data prep, data management warehouse, big data and is a value addition. Data Engineers, data. Unmatched Security, database engineers, data scientists, business analysts, all can be benefited for this.
- Unmatched security and privacy
Azure boasts about the most advanced and unmatched security and privacy features in the market. Automated data threat protection and always on-data encryption are the features built into the fabric of Azure Synapse. Data remains safe with and private with column-level security and native-row level security as well as automatic data masking to protect sensitive data in real-time.
Azure Synapse Capabilities:
- Enterprise Data Warehousing
- Deeply integrated Spark and SQL engines
- Data Lake Exploration
- Streaming ingestion and analytics
- Choice of Language
- Integrated AI and BI
- Code-free data orchestration
- Industry-lead management and security
Being a Microsoft certified Gold Partner in Data and Analytics we’re super excited by the roll-out of the Azure Synapse Analytics platform. Compass, our augmented analytics platform for Big Data is all set to further amplify the experience and ROI using Synapse as both share the common base of Azure Data lake, Azure Datawarehouse , Azure Data Factory , Azure Data Bricks , Azure machine learning and PowerBI.
This will help business users break down the data by different dimensions and variables to visualize the reason behind a high or low KPI. Gather insights from multiple data sources, warehouses, lakes, etc., at blazing speed at fraction of cost. Get in touch with us to talk about Compass and Azure Synapse analytics.