Automated Data Pipelines for Analytics
Data pipeline automation tools enable automation driven data integration, processing and management utilizing different cloud platforms.
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Augmenting Master Data Management for creating Data capital
Effective Data Management with Platform strategy makes data accessible across the organization, greater accountability and provides 360 degree view of customer insights to make data informed decisions and improve business processes.
Augmented Data Quality
Analyze and Monitor Data with machine learning and AI helps to identify data quality issues and data fabric design enables dynamic and augmented data integration.
Open MetaData Management
Centralizing all the metadata to simplify the data discovery, collaboration and analytics to get Real insights with flexibility of push/pull and easy-to-use APIs.
Cloud Datawarehouse
Modernization of data warehouses with cloud provides flexibility and agility for data operations and analytics on scale for intelligent decisioning.
Role of DataOps in Building a Data-Centric Organization
Implementing Data Fabric and Data Mesh principles empowers enterprises to enable augmented data intelligence with open metadata management for augmented analytics and data observability and reliability platform to provide autonomous data experience.
DataOps Solutions for Management and Governance
Enterprise Data Strategy to Transform Business
Transform Data into Intelligence, and discover how to develop a Modern Enterprise Data Strategy.
Explore Key Capabilities of a Modern Enterprise Data Strategy
Improved Data Security
XenonStack offers solutions for enabling Big Data Compliance, Analytics Security, Hadoop Security, and Data Security Governance.
Streamlining Data Integration
Solutions for Operationalizing and Simplifying Real-Time Data Integration.
Enterprise-Grade Data Management
Enterprise Integrated data solutions for Master Data Management, Data Governance, and Data Security.
Intelligent DataOps platform
Building Intelligent DataOps Platform for enabling effective Data Integration and Data Drift Management.
Google Cloud for Big Data
Production-Ready Google Cloud Solutions with Cloud DataFlow, and Google BigQuery for Batch and Stream Processing Analytics.
AWS Big Data Analytics
Developing AWS Analytics and Big Data Solutions with Amazon EMR, Amazon Kinesis, Amazon Glue, Amazon Athena, Amazon DynamoDB and Amazon Aurora.
Azure Data Lake Solutions
Azure Stream Analytics and Data Lake Analytics with HDInsight for optimized IoT and Streaming Solutions and capabilities.
What are the Benefits of the DataOps Methodology?
DataOps Implementation and Adoption Best Practices
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Acknowledging Data Management Best Practices with DataOps
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DataOps as a Service: Introduction, Services and Benefits
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Implementing DataOps Architecture in AWS, Azure, and GCP
Modernizing and Automating Real Time Data Analytics Pipeline
Data operations and agile development for data analytics enable effective enterprise data management and Governance.
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Big Data Engineering
Data Science
DevOps
Data Visualization
Enterprise AI
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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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Overview of Data Management Best Practices with DataOps
Overview of Data Management Best Practices with DataOps
Get an Insight about Big Data Governance Tools, Benefits and Best Practices
Get an Insight about Big Data Governance Tools, Benefits and Best Practices
What are the Top Data Challenges and Solutions to Overcome them
What are the Top Data Challenges and Solutions to Overcome them
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Data Lineage
Data Governance
Data Catalog
Enterprise Data Strategy
Data Lineage
Discover more about how Data Lineage helps to Streamline and facilitate effective Data Mapping
Data Governance
Data Governance is a collection of procedures/methods which involve Data Quality Management, Promoting Data Policies, Enabling Regulatory Compliance, and Mapping Risk Management.
Data Catalog
Using Data Catalog Enterprises can obtain Data Intelligence, Manage business glossary and develop Operational efficiency
Enterprise Data Strategy
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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