Modern Big Data Services Providers
Building efficient and scalable platform for real-time and streaming ingestion and management for driving business outcomes and actionable insights.
XenonStack Recommends
Data-centric Innovation and Modernisation with Data Engineering
Big data services and strategy for enterprises to identify business use cases and analytics tools and unify all your information with Modern Data stack and Lakehouse for gaining actionable insights and analytics.
Modern Data Stack
Empower scalable Modern Architecture solutions to unleash the real value of automation
Catalog and Quality Implementation
Enable seamless technology integrations and Cloud Transformation capabilities.
Unified Security and Governance Capabilities
Run secure and compliant data operations with easy data access governance capabilities
Simplified Data Engineering and Architecture Services
Enable continuous performance improvement to create genuinely differentiated customer experiences and enable the growth of refined new applications
Big Data Services and Solutions to Unlock powerful business insights
Big Data Infrastructure Services
Enterprise solutions for building infrastructure strategy and effectively deploying, monitoring, and managing Infrastructure.
Explore Infrastructure Solutions and Services
Leverage Real-Time Analytics and Monitoring Solutions for empowering valuable insights and Large Scale Information Processing.
Hybrid cloud data security solutions for better visibility, real-time monitoring, and management of regulatory compliance.
XenonStack provides enterprise strategy and consulting for Enterprises to build analytical capabilities and next-generation analytics empowered applications.
Modernize the Warehouse and enable scalable Cloud Analytics and Real-Time Analytics capabilities.
Google Cloud Data Platform and Warehouse Solution
Enabling Real-Time Streaming Analytics services on Google Cloud Platform to meet today's analytics demand
AWS LakeHouse and Analytics Solutions
Enabling Lakehouse and Analytics Services and Consulting on AWS with Amazon Athena, Amazon EMR, and Amazon Kinesis.
Azure Data Factory and Warehouse Solutions
Enabling Analytics services on Azure Cloud with Azure Stream Analytics and HDInsight enabled security and compliance .
How Enterprise Big Data Services helps businesses to enhance their processes?
Enable Modern Strategy with Advanced Analytics and AI solutions
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Analytics Trends that you should know in 2022
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What are the challenges faced while implementing Big Data Strategy?
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What are the essential components of Big Data Platform?
Modern Infrastructure Stack and Big Data Platform
Automating Pipelines and adopting DataOps Principles for Intelligent Platforms.
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Enterprise AI
Big Data Engineering
Data Science
DevOps
Data Visualization
Serverless
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Generative AI Moving Towards Healthcare Generative AI, or generative adversarial networks (GANs), is artificial intelligence capable of creating new content, such as images, music, and text. It uses...
What is Generative ‘AI’ Generative AI, also known as Generative Adversarial Networks (GANs), is a subset of artificial intelligence (AI) that focuses on generating new and original data based on...
Introduction Generative Artificial Intelligence (AI) has revolutionized various fields, including art, music, and content generation. With the ability to create original and realistic outputs,...
Overview Azure Data Factory and Apache Airflow Data-driven decision-making allows organizations to take strategic decisions and actions that align with their objectives and goal at the right time....
How Angular compiles and its performance? The application can be compiled using two following commands:-
Introduction to Metadata Management The most crucial process for a successful digital initiative plan is metadata management. It is currently essential for managing the information assets in an...
Introduction to Azure Digital Twin Platform When we talk about the Internet of Things solutions, think of devices like a windmill, which consists of sensors that generate pressure or temperature...
Machine Learning Model Operationalization Today Businesses are searching for ways to put Machine Learning in their arsenal to improve their decision-making. But in reality, it has been seen while...
What is Log Analysis? Log analysis is the method of evaluating computer-generated event logs to proactively discover faults, security hazards, and other issues. Log analysis can also be applied more...
Getting Started with IaC Infrastructure as Code (IaC) tools that promote the best practices are necessary to make the process of building and configuring the infrastructure more competitive and...
Overview of Test Driven Development (TDD) Test Driven Development (TDD) is a great approach for software development. TDD is nothing but the development of tests before adding a feature in code....
What is Monolith? A monolith application is a deployment setup where a single deployment unit handles various business activities. Such applications are good to start with and develop features with,...
Introduction to Business Intelligence Today's businesses increasingly rely on software to perform at peak efficiency and maximize revenue. Business Intelligence (BI) plays a key role in helping...
Introduction to Graph Analytics and Knowledge Graph Graph analytics is a new field of data analytics that helps businesses leverage their model by adopting a variety of its algorithms to identify the...
Introduction to Streaming Data Visualization Streaming Data Visualization gives users Real-Time Data Analytics to see the trends and patterns in the data to take action rapidly. It is the control of...
Overview of Serverless Computing In the past, when developers wanted to host any of their websites, there was the need for a physical data center where their server would run, which is very bulky and...
Introduction to Edge Computing with 5G Thanks to the Internet of Things (IoT), more and more devices are connected, including homes, heating systems, fitness trackers, and vehicles. Edge computing...
What is Java and Kotlin? Java is the native language used by Android, applications that communicate with the operating system and directly use the hardware uses it. This language allows the creation...
Overview In the interlinked world of today, when digital technologies penetrate every part of our lives, trust has become a crucial element in determining how we experience the digital world. Users...
What is Zero trust cyber-security? Zero Trust is a cybersecurity strategy that secures an organization by removing implicit trust and continuously validating every stage of digital interaction to...
What is Machine Learning? Machine learning is an area of computer science that allows computers to learn without having to be programmed directly. Machine learning is one of the most fascinating...
Introduction to Cloud Native Applications Applications that are developed and deployed using cloud-based technologies are known as Cloud-Native Applications. They are hosted and managed by the cloud....
What is Cloud Native Observability? Control theory defines "observability" as the ability to determine the internal states and, accordingly, the behavior of a system only by examining its inputs and...
What is Cloud Governance? It is a set of rules. It applies specific policies or principles to the use of computing services. This model aims to secure applications and data even if located distantly....
Introduction to Functional Specification Document It's no secret that you need to have clearly defined processes with frequent checkpoints and checklists for a project to succeed. But what does this...
What is Incident Management? Incident management is a process that helps companies to understand, respond to, and recover from incidents. The software is designed to manage and monitor incidents that...
Introduction to Product Management Roadmap As a product manager, you might be asked to create a roadmap. This document can take many forms, but it's essentially a plan that details the various stages...
Overview of Storage Class in Kubernetes To understand the concept of storage class in kubernetes, first, we need to understand the volume concept in Kubernetes. In simple terms, kubernetes volume is...
Introduction to Kubernetes We are rapidly moving towards the age of cloud computing, where every organization, small or big, has or wants its resources and data to be available, no matter what region...
What is Kubernetes Operators? Kubernetes is growing day by day, and now every organization is keen to adopt the containerization technology and it's gone so for that it can quickly deploy the ...
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Analytics Uses-cases in Healthcare | Retail | Manufacturing
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ETL and ELT
Data Warehousing
Meta Data Management
Data Governance
ETL and ELT
Discover more about how Lineage helps to Streamline and facilitating effective Data Mapping
Data Warehousing
Data Governance is a collection of procedures/methods which involve Data Quality Management, Promoting Data Policies, Enabling Regulatory Compliance, and Mapping Risk Management.
Using Data Catalog Enterprises can obtain Data Intelligence, Manage business glossary and develop Operational efficiency
Data Governance
Enterprise Data Strategy shows the capabilities of an organization that how they can leverage their Data to enable their Reporting and Decision Systems efficiently which impacts the business Outcome.
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