Data Analytics Project: Key Reasons Why Azure Synapse Analytics Makes Sense

by Tech Geekk writer
As the cloud computing market across the globe continues to evolve at a rapid pace, there is always a growing focus on new solutions that can tend to the varied needs of modern businesses. Now, one such new solution that has recently emerged in the market is Azure Synapse — a unified cloud analytics platform.

Synapse is Microsoft's new unified cloud analytics platform. It is a limitless analytics service that brings together data integration, enterprise data warehousing & big data analytics. It offers the freedom to query data on your terms, using either serverless or dedicated options—at scale. This Microsoft tool is quickly becoming popular owing to a variety of reasons: for starters, it allows companies to achieve significantly better cost control quotas. This nifty offering from the stables of the technology behemoth also offers enhanced role-based controls and ensures robust collaboration too.

What else can Azure Synapse do for data analytics? Well, here are some of its top features to help you understand:

  1. Use SQL: SQL is, of course, crucial to run queries on a broad range of data formats and sources. However, Azure Synapse seeks to improve the experience further, allowing companies the option to run workloads on-demand or through provisioned capacity, i.e. SQL Pools. There is also the new SQL Serverless option which facilitates queries to be run on data in data lakes or storage accounts albeit sans necessitating any clusters or compute resources.
  2. Unified data: The Microsoft Azure platform offers customers worldwide access to an extensive range of data services and while they are all robust offerings, the fact remains that identifying the relevant service and then integrating them can prove to be quite a challenge. Well, Azure Synapse seeks to ease some of these issues by not only offering the top Azure data services along and a whole lot of powerful new features but also making sure that they are all well integrated to ensure a seamless user experience for companies using the solution.
  3. Managed Spark environment: Yet another compelling feature that Azure Synapse brings to the table is its own managed Spark environment based on Apache Spark 2.4 with Python 3.6. What that means is that teams can start being productive right away instead of spending time on just the configuration. Not only that, but the Spark environment also offers top-notch security, ensures fuss-free sign-on, and seamless connections to storage accounts.
  4. Business intelligence: As you know by now, Azure Synapse is highly conducive to integrations with a variety of extremely high-value tools and solutions, including Power BI. What this means is that companies cannot only be able to access existing datasets, reports, etc. within Synapse but are also able to build new reports and datasets based on the data collated within Azure Synapse. Furthermore, it offers all popular data connectors to further ease the task at hand.

It is clear as day to see that data has come to and will continue to play a critical role in helping companies across the broad spectrum of industries not only keep up with the many, many changes in the market but also ensure they evolve right along with these shifts and successfully serve the market and their varied needs. So, it makes sense that more and more companies are now turning to top-grade AI-driven analytics and business intelligence solution such as Azure Synapse. Now, if you too want to leverage the countless benefits of this mighty Microsoft offering, it would be a good idea to start looking for a trusted Microsoft Azure analytics services company to help you do exactly that.

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About Tech Geekk Advanced   writer

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Joined APSense since, March 9th, 2016, From San Jose, United States.

Created on Oct 20th 2022 09:10. Viewed 307 times.


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