Dinesh Kumar Prabakaran
Microsoft MVP - Data Platform; Product @ Kissflow;
Chennai, India
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Product Manager at Kissflow for the Reports & Analytics Squad
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Area of Expertise
When to use Azure SQL database and/or Azure Synapse Analytics and/or Azure Databricks?
"What will be covered?"
- Demystify – Database, Data warehouse, Data Lake and Data Lakehouse.
- What are common but different in Synapse and Databricks – Notebooks, Apache Spark, Delta Lake, Storage and Compute separated architecture, Autoscaling.
- Use case/problem statement-based discussion to infer which one to choose with architecture diagrams.
- When to use SQL database / Synapse / Databricks?.
"What will you learn?"
- Technology democratization has led to features, open-source frameworks included in almost all products in a line. Making it difficult for choosing one. In this session, I will share my experiences over-analyzing different frameworks for use cases, hoping it would help the other folks to choose the right data analytics tool for the right need.
"Who should attend?"
- Data Product Managers.
- Data engineers.
What’s New for Visual Studio 2019 Integrations with Azure Boards
In this session I am going to give a quick walk through about new experience of Visual Studio 2019.
1. Overview of all new features in Visual Studio 2019
2. Overview + demo about "Azure DevOps" and its services. Out of that 'Azure Boards' will be in detail.
3. And finally "Azure Boards integration demo with Visual Studio 2019"
In previous versions of Visual Studio, the work item experience was centred around queries, which need to be created and managed to find the right work items. In Visual Studio 2019, we have removed queries and added a new view for work items cantered at the developer. This allows the developer to quickly find the work they need and associate them to their pending changes.
Please send us your queries about this topic and technologies you wish for my future webinars at dinesarun@hotmail.com
Workshop: BigData and Business Intelligence using Azure
This HandsOn would cover the theme: "Bigdata, BI and Cloud + What Azure has for Bigdata?"
1. Deploy Apache Hadoop + Apache Spark single node cluster in windows.
2. Play with NASA logs data using scala to churn out useful information out of it .
3. Store the result to Azure Blob.
4. Connect to Azure Blob in "Syncfusion Dashboards”, a SaaS based BI tool and design a business dashboard.
BigData and Business Intelligence using Azure
Presentation (1 hour)
1. Where does 'BigData' fit in 'Data Science' world?
2. What would be a day to day routine work of a Data Scientist?
3. Database options in Azure.
4. Importance of Business Intelligence and Visualization.
Hands-on: (2 hours)
1. Deploy Apache Hadoop + Apache Spark single node cluster in windows.
2. Play with NASA logs data using scala to churn out useful information out of it .
3. Store the result back to Azure Blob.
Connect to Azure Blob in "Syncfusion Dashboards”, a SaaS based BI tool and design a business dashboard.
Azure Serverless Saturday User group Sessionize Event
Dinesh Kumar Prabakaran
Microsoft MVP - Data Platform; Product @ Kissflow;
Chennai, India
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