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Building efficient and scalable platform for real-time and streaming ingestion and management for driving business outcomes and actionable insights.
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Streamlining the data ingestion and management for the Agile Enterprise
Enterprise Strategy, identifying business-relevant analytical tools and unifying all your information, analytics, and AI workloads with modern Cloud Platform and gaining actionable insights.
Automation and AI
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
Enable seamless Technology integrations and Cloud Transformation capabilities.
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Enable continuous performance improvement to create genuinely differentiated customer experiences and enable the growth of refined new applications
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Big Data Infrastructure Services
Enterprise solutions for building infrastructure strategy and effectively deploying, monitoring, and managing Infrastructure.
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Real-Time and Predictive Analytics Solutions
Leverage Real-Time Analytics and Monitoring Solutions for empowering valuable insights and Large Scale Information Processing.
IoT Analytics Solutions
IoT Analytics Platform for enabling Real-Time Ingestion, User behavior Analytics and Predictive Maintenance Solutions.
Enterprise Analytics Strategy
XenonStack provides enterprise strategy and consulting for Enterprises to build analytical capabilities and next-generation analytics empowered applications.
Warehouse Modernization Services
Modernize 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 Big Data Solutions 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 essential components of Big Data Platform?
Modern Infrastructure Stack and Composable Data Platform
Automating Pipelines and adopting DataOps Principles for Intelligent Platforms.
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Introduction to Data Analytics in Insurance The technological landscape changes, and so the industries do. In today a worldwide variety of insurance exists. Still, it is challenging for clients to...
Introduction to Graph Analytics for Big Data As the data volume is growing and the world is shifting towards big data, there comes a need to derive the business value from that data to get the best...
Overview of Azure Platform Azure is a platform or service of cloud computingbasically, it was created or built by Microsoft for various purposes like building Serverless applications on Azure...
Introduction to MLOps and ModelOps Artificial Intelligence has grown exponentially in the last decade, and enterprises and organizations have adopted it to scale their business and make smart...
What are the Best RPA Tools? The humans are again entering into the new era of automation. It is one transformation which is automating our daily repetitive tasks. Just like chatbots and AI, RPA...
Introduction to Machine Vision It has become a superior technology for automated visual inspection in manufacturing worldwide. Due to increasing system integration competence and awareness of the...
Introduction to Governance as a Code Governance as a Code is defining how applications and infrastructure should run. Governance as a Code acts as an overall managing hand that helps users stick...
Introduction DevSecOps pipeline ensures that security is monitored throughout the life cycle of software development. Here, we describe each DevSecOps category and suggest useful DevSecOps tools that...
Introduction Practices like Continuous Integration, Continuous Delivery, and Continuous Deployment automate phases of software delivery. Development teams are empowered to release new features and...
Introduction to Data Visualization “The greatest cost of a picture is when it arms us to notice what we have never waited to see.”
What do we mean by the main thread? The main thread is where the browser handles most of the work involved in page loadings, such as rendering/painting content and handling user interaction.On the...
A Brief Introduction to Tableau Tableau is a Data Visualization apparatus that is generally utilized for Business Intelligence; however, it is not constrained. It makes common diagrams and graphs as...
Introduction to Robotic Process Automation Before understanding Automation Anywhere, we will first know about Robotic Process Automation. RPA is a technology which enables us to create software...
Introduction to Vision Analytics Businesses often need human intervention for many things, where sometimes it can be automated in one way or the other. Like in a manufacturing business, they often...
Introduction to AI in Video Analytics The automotive market is on its way to a new face with video analysis's birth. The latest AI and production combination promise a stronger, more efficient, and...
Introduction to Google Cloud Platform Serverless Computing Google Cloud Serverless computing makes scalability of the server to infinity, i.e., there will be no load management, it has to run code...
Introduction to AWS Serverless Computing Before we introduce AWS Serverless Computing let's talk about the Serverless Computing. What is Serverless Computing and Why do you need it? Serverless is a...
Introduction to Automated Performance Testing Performance Automation Testing continues to evolve to meet modern enterprise's growing demands. It's no secret that the industry has upgraded to a world...
Introduction to Monitoring as a Service (MaaS) As the tech world is expanding rapidly with new technologies and new possibilities, these are the security issues and preventive measures to assure a...
What is Cloud Governance? Cloud Governance is a set of rules. It applies specific policies or principles to the use of cloud computing services.This model aims to secure applications and data even if...
Introduction to Functional and Class-Components Developing a single page application, developers have to write more than thousands of lines of code that follow the traditional DOM structure. If any...
What is Dynamic Application Security Testing (DAST)? It is a test that is done from an end-user perspective to detect malicious activities and attacks. In this, security test cases are performed...
Introduction The importance of cybersecurity increase with the adoption and reliance on digital products and services. The technological landscape is a vast battleground where threats look for...
Overview of AI in Cybersecurity Current Technologies put the organization's cyber security at risk. Even with the new advancements in the defense strategies, security professional fails at some...
Overview of Kubernetes-Based Event Driven Autoscaling Implement event-driven processing on Kubernetes using Kubernetes-Based Event-Driven Autoscaling (KEDA). The IT industry is now moving towards...
Introduction to Kubernetes, IaC and Helm What is Kubernetes? Kubernetes is one of the best platforms to deploy and manage containerized applications. But deploying such containerized applications...
What is Container Storage Interface(CSI)? CSI stands for Container Storage Interface. It is an initiative to combine the storage interface of Container Orchestrator Systems(COS) such as Mesos,...
Introduction to Requirements Management Requirement management is the process of ensuring that the needs of customers and other stakeholders are met. The requirements typically referred to as needs...
Introduction to Project Management Project management isn't a child's play but requires analytic and management skills.
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...
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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.
Meta Data 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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