Azure Synapse
Webinar

From Business Hindsight to Foresight with Azure Synapse Analytics

Bring together the utility of Advanced Cloud Analytics with BI tools, to bring speed, security, and accelerated time-to-insight to your business.

Transform Data into Key Insights and Embrace a New Age of Business Intelligence with Azure Synapse Analytics.

Virtually every industry is starting to feel the disruptive power of Advanced Analytics. Many businesses are looking to put decision automation systems in place to help them leverage the predictive and prescriptive analytics. Azure Synapse delivers on the promise of bringing together all the elements needed, to ingest, prepare, manage, analyze and transform data into actionable insights. Azure Synapse and Power BI uniquely bring the capabilities of data unification and limitless analytics together, enriched with the power of AI and ML, all in a single management workspace with common security and governance.

ON DEMAND WEBINAR

From Business Hindsight to Foresight with

Azure Synapse Analytics

Korcomptenz presented a webinar titled “From Business Hindsight to Foresight with Azure Synapse Analytics” The webinar was conducted on June 3rd, 2021, and the main objectives were as follows:

Reporting of the Past and Analytics of the Future.

  • Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics.
  • We showed how an increasing number of organizations are transitioning, from the kind of decision systems that analyze past events, to newer systems that predict future events and recommend actions for the best possible outcomes.

The Industrial Applications of Insights

  • We shared some examples of how these technologies can be potentially used across industries such as manufacturing and retail.
  • In manufacturing, we can build these solutions using a multi-step process, across three distinct horizons – Connected, Predictive and Cognitive horizon.
  • The most successful retailers are the ones who embrace tech intensity today to plan for their future. Tech intensity requires organizations to stop not at just adopting the latest technology to support their business model transformation, but to go a step further to build their own digital capabilities on top of that technology.

Features of Azure Synapse

  • Azure Synapse provides a unified experience that brings together data ingestion, big data analytics, and data warehousing at cloud scale. Azure Synapse offers both serverless and dedicated resource models, giving you more flexibility and more control over cloud spend.
  • Azure Synapse studio provides a unified workspace for your team to work in for data prep, data management, data warehousing, big data, and AI tasks. Synapse Studio is the web-native experience that ties everything together in one location so you can do every task you need to build a complete solution.

How can Korcomptenz help you in this Analytics journey?

  • Korcomptenz can help you embark on your Analytics Journey with our solution delivery methodology. Our Solution Delivery Methodology is similar to the Microsoft recommended sequence of activities for Data science initiatives.
  • In the webinar, we showcased the Azure Synapse lifecycle. Shifting to Azure Synapse is a limitless analytics journey but at Korcomptenz we can help you explore the options available for a transition to Synapse. We also provide you with a strategic assessment for a proof of concept to define scope, schedule and efforts, helping you to embark on your analytics journey. Watch our webinar video for further details.

Demonstration

  • The webinar demonstrated the Synapse functionality. We covered the components of the synapse which are Synapse Studio as an Orchestrator, Azure data factory and Data lake for inputs storage, Azure ML for building and tuning models, Power BI for visualization
  • We spoke about the whole process on how to bring in data from various sources and store in Data lake and showed how to Explore and pre-process data.

Key takeaways

  • Azure Synapse unifies your data, your data tasks, and your data teams with a limitless analytics service, instead of stitching together services or creating siloed solutions.

  • Azure Purview is a unified data governance service that helps you manage and govern your on-premises, multi-cloud, and software-as-a-service (SaaS) data. With Azure Purview Data Map, you can set the foundation for data discovery and effective data governance.

  • Azure Synapse has a rich partner ecosystem that is constantly growing. No matter what system you may be using today, Synapse will probably integrate seamlessly with it. With almost 100 data connectors built into Synapse, your data is available almost everywhere.

To know more and follow the webinar in detail, watch the video above. Here is the Webinar SlideShare for you:

Key questions that were answered

Q1. What steps do we need to take to put a Data Culture in our Organization?

A Data Driven Culture starts from the top of an organization. The executive team champions the change. It is important that the organization starts measuring everything that can be quantified. The data from these measurements need to be retained and that’s really where the data warehouse comes in and then its important to provide self-service analytics which can be accomplished by providing access to Synapse analytics and Power BI and of course the Executive Team needs to communicate to the rest of the organization that this is the type of culture that they are trying to implement.

Q2. Our data warehouse solution currently helps us with the operational reporting. How do we embark on a project which would be a value add over our current set up? What is the journey you recommend undertaking so that we are able to reap the benefits of a cloud solution without putting too much burden on our current team and ecosystem?

We all know now that we can derive more intelligence and insights from our data. So, beyond operational reporting we can extend your current system, using the Azure Synapse, with impactful analytics to help you gain competitive advantage, without burdening your current setup.

Q3. Are there any prebuilt algorithms and tools available in Azure Synapse that would help us quickly reap the benefits of an Azure implementation quickly?

Yes. Azure Synapse comes Azure Machine Learning that has over 15+ algorithms in the areas of regression, classification, and clustering. These out of box algorithms help give a jump start to your analytics journey.

Q4. What are the advantages of Azure Synapse over other competing products like Snowflake and why should one pick Azure over them?

There are many worthy competitors in this field including offerings from Google, Amazon etc. but one recurring theme that keeps coming up as we speak with various clients, is that organizations that are already using Microsoft technologies, really prefer staying on the same stack, due to the familiar user experience and tight native integration offered between Power BI and Synapse, with the underlying Common Data Model, now called Dataverse. Other customers prefer an Azure Synapse solution because of its ability to reduce complexity, by bringing together all the needed elements for an end-to-end analytics solution, into one neat package, with market leading price/performance.

Q5. Can the Azure Data Lake and Azure Synapse take care of all our data warehousing needs?

Synapse analytics is designed from the ground up to work with structured, semi-structured and un-structured data so by using azure data lake and synapse analytics you can meet all your warehousing needs by using SQL OR Power BI against the Warehouse or by running spark by using different data lake or by using a different data language.

Q6. How much time does it take to implement Azure Synapse and what is the cost of implementing Azure Synapse Solution?

There is no one-size-fits-all answer here. The elements of the Azure Synapse service such as storage, SQL pools etc. are very much predictable and controllable. So, the costs really depend on the target variable, that we are trying to predict, and the effort needed to prepare your data. At a very high level, these projects could take anywhere between 3 to 6 months.

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