Rajaniesh Kaushikk
Director Technology | Microsoft MVP | Databricks Champion | MCT | Author | Blogger
Dunellen, New Jersey, United States
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Meet Rajaniesh Kaushikk – a Microsoft MVP and TOGAF Certified Enterprise Architect with over 22 years of experience in delivering complex software architectures for Fortune 500 companies. Rajaniesh specializes in data integration, governance, and analysis, with a proven track record in defining technical architectures, designing analytic solutions, and developing agile frameworks. His expertise spans Hybrid Cloud, Azure Cloud, Power BI, Kubernetes, Databricks Lakehouse, Snowflake, and more, making him a trusted partner in solving intricate business challenges and driving market growth.
As a hands-on technical architect, Microsoft Certified Solution Architect, and Databricks Champion, Rajaniesh excels in translating complex concepts into actionable strategies, whether through pre-sales technical presentations or public speaking at Microsoft events. A Microsoft Certified Trainer, he is committed to sharing his knowledge and staying at the forefront of technological advancements, ensuring scalable and innovative solutions for modern software architecture needs.
Awards
Area of Expertise
Demystifying Azure Synapse Networking
In the vast realm of cloud computing, Azure Synapse stands tall as a game-changer, offering unmatched analytics service capabilities. But with great power comes great responsibility, especially when it comes to networking. To some, navigating Azure Synapse Networking might feel like deciphering a complex maze. But here's the good news! This session is designed to demystify the enigmas, streamline the complexities, and illuminate the core essence of Azure Synapse Networking. Whether you're an Azure aficionado or a newcomer exploring cloud analytics, this session is your ticket to a transformative experience.
Unleashing the Power of Azure OpenAI and Service Embedding for unstructured document search
Are you struggling to find the information you need buried deep within unstructured documents? It's time to unleash the power of Azure OpenAI and Service Embedding! In this session, we'll show you how to harness the latest advancements in AI and cloud-based services to transform your unstructured document search. With Azure OpenAI's advanced natural language processing and Service Embedding's powerful integration capabilities, you'll be able to extract meaningful insights from your documents and make informed decisions with ease. Whether you're in healthcare, legal, or any other industry that requires in-depth document analysis, this session will give you the tools you need to unlock the full potential of your data. So, join us on this exciting journey into the world of unstructured document search and see for yourself how Azure OpenAI and Service Embedding can revolutionize the way you work with information.
Mastering AKS Ingress Controller: A Live Session
Welcome to "Mastering AKS Ingress Controller: A Live Session". In this session, we will dive deep into the world of Kubernetes and explore the AKS Ingress Controller. If you're familiar with Kubernetes, you may already know that an Ingress Controller is a powerful tool that helps you expose your Kubernetes services to the outside world. But with so many options available, it can be overwhelming to choose the right one for your needs.
In this live session, I will guide you through the process of setting up and configuring the AKS Ingress Controller. We'll cover the basics of what an Ingress Controller is, how it works, and why it's so essential to your Kubernetes environment. We'll also cover the best practices for optimizing your Ingress Controller configuration, and explore some of the advanced features available in AKS Ingress Controller that can take your Kubernetes deployment to the next level.
By the end of this session, you'll have a comprehensive understanding of how to use AKS Ingress Controller to streamline your Kubernetes environment and optimize your application deployment. So join us today and take your Kubernetes skills to the next level!
Boosting Collaboration and Productivity with Azure DevOps and Databricks
In today's data-driven world, it's no secret that collaboration and productivity are key to success. However, when it comes to data engineering and machine learning projects, it can often be a challenge to find the right tools and processes to achieve this.
Fortunately, Azure DevOps and Databricks offer an unbeatable combination for boosting collaboration and productivity in your data science projects. With the seamless integration of Azure DevOps and Databricks, you can streamline your workflows and automate your processes to make your team's work more efficient and effective.
So, whether you're a data engineer, data scientist, or team manager, this session will provide you with valuable insights and practical tips on how to use Azure DevOps and Databricks to optimize collaboration and productivity in your data-driven projects. So, let's dive in and discover the power of this dynamic duo!
Unlocking the Human Side of Data with Azure OpenAI and Azure SQL
Are you tired of poring over endless spreadsheets and databases in search of the information you need? Imagine being able to simply ask a chatbot a question and get instant results from your database. It sounds like science fiction, but with Azure OpenAI and Azure SQL, it's a reality! In this session, we'll show you how to unlock the power of conversational AI to make data more accessible and user-friendly. With Azure OpenAI's natural language processing and Azure SQL's powerful data management capabilities, you'll be able to create a chatbot that can understand your questions and deliver the data you need in real-time. From streamlining customer service to optimizing business processes, the possibilities are endless. So, if you're ready to harness the human side of data and revolutionize the way you work with information, this session is not to be missed!
Unleashing the Power of Azure OpenAI and Service Embedding for unstructured document search
Are you struggling to find the information you need buried deep within unstructured documents? It's time to unleash the power of Azure OpenAI and Service Embedding! In this session, we'll show you how to harness the latest advancements in AI and cloud-based services to transform your unstructured document search. With Azure OpenAI's advanced natural language processing and Service Embedding's powerful integration capabilities, you'll be able to extract meaningful insights from your documents and make informed decisions with ease. Whether you're in healthcare, legal, or any other industry that requires in-depth document analysis, this session will give you the tools you need to unlock the full potential of your data. So, join us on this exciting journey into the world of unstructured document search and see for yourself how Azure OpenAI and Service Embedding can revolutionize the way you work with information.
Unlocking the Full Potential of Your Azure DevOps CI/CD Pipelines with Azure Kubernetes Services
Are you looking to set up a CI/CD pipeline for AKS (Azure Kubernetes Service) but don’t know where to start? Look no further. In this session, we will cover the basics of setting up a CI/CD pipeline with Azure DevOps – from creating builds and releases, deploying resources, automating deployment processes with Azure Pipelines, and best practices for configuring pipelines. By the end of this session, you'll have everything you need to get your CI/CD pipeline up and running in no time! So let's dive right in!
Automate boring Service Now Tickets with Power Automate
Service now is a great tool for IT service management. But have you come across a situation where your most precious time is wasted in raising the service now tickets (Change Ticket, Incidents, and Service Tickets)? This becomes quite boring and inefficient. Especially when you must go through this ordeal very often because your work depends upon other teams. Did you always imagine that you could be happier if you could offload this boring stuff to somebody else? Sounds familiar?
Ok, do not worry. If you want to automate this monotonous stuff and live a happy productive life, then this session is for you.
In this session will learn how to automate ServiceNow tickets with Microsoft Power Automate and Power Virtual Agent and achieve 100% productivity in the most efficient way.
See you there!! :)
Deploying SQL server Always on Availability Group on Azure Kubernetes Services(AKS).
In this session we will learn how to deploy the SQL server Always on Availability Group on Azure Kubernetes Services (AKS). The advantage of setting up SQL always on availability on AKS is that if SQL server instance fails Kubernetes will automatically
re-creates it in new POD and attach it to the persistent volume. It will also provides protection from Node failure by recreating it again. It is very easy to setup and configure. We will start with the basics of Kubernetes and than implement these concepts on Azure AKS.
Developing Intelligent Bot in Azure
The conversational bot has become a way of life. Whether it is responding to customer queries, asking common FAQs, or creating tickets in SNOW tickets.
In this session, we will learn
-How to develop an intelligent Bot that will deploy an Azure infrastructure in Azure Environment?
-How to add natural language processing capability to make it more intelligent?
Unified data governance with Azure Purview
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. You can create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage with Azure Purview.
One of the critical features of Azure Purview is the ability to show the lineage between datasets created by data processes. Data lineage can help to show how data moves over time. This enables you to see how data is used and what changes to data have been made which helps you to understand, trace back, and correct data at the source of origin.
In this session, we will learn how to implement Data Lineage in Azure Purview.
Who is the target attendee?
Data Architect/ETL Developers/Consultants
Why would that person want to attend your session?
- To start your journey with Azure Purview to develop data Lineage
What can the attendee walk away with?
- What is Azure Purview?
- Data Lineage capability of Azure Purview
- How to implement Data Lineage in Azure Purview?
Deploying a multi-container application to Azure Kubernetes Services
Azure Kubernetes Service (AKS) is the quickest way to use Kubernetes on Azure. Azure Kubernetes Service (AKS) manages your hosted Kubernetes environment, making it straightforward to deploy and manage containerized applications without requiring container orchestration expertise. It also enhances agility, scalability, and availability of your containerized workloads. Azure DevOps further streamlines AKS operations by providing continuous build and deployment capabilities.
In this session, we will learn how to deploy a multi-container application to Azure Kubernetes Services
Who is the target attendee?
IT Developers/Consultants
Why would that person want to attend your session?
- To start your journey with AKS and build a multi-container application.
What can the attendee walk away with?
- What is a multi-container Application?
- How to deploy the multi-container application to Azure Kubernetes Services.?
- How to build automated pipelines using Azure DevOps to deploy Applications to AKS?
Building reliable data processing pipelines with Azure Databricks Delta live tables
Azure Databricks Delta Live Tables is a framework for building reliable, maintainable, and testable data processing pipelines.
You define the transformations to perform on your data, and Delta Live Tables manages task orchestration, cluster management, monitoring, data quality, and error handling on its own.
Instead of defining your data pipelines using a series of separate Apache Spark tasks, Delta Live Tables manages how your data is transformed based on a target schema you define for each processing step. You can also enforce data quality with Delta Live Tables with a feature called "expectations". "Expectations" allow you to define expected data quality and specify how to handle records that fail those expectations.
In this session, we will learn how to develop a data processing pipeline with Azure Databricks Delta live tables.
Who is the target attendee?
Data Architect/ETL Developers/Consultants
Why would that person want to attend your session?
- To learn the modern way to develop the data processing pipelines
What can the attendee walk away with?
- What is an Azure Databricks Delta live table?
- Delta Live Tables concepts.
- How to Develop Data processing pipelines with Delta Live Tables?
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