DataOps Services for Analytics
Data pipeline automation tools enable automation driven data integration, processing and management utilizing different cloud platforms.
XenonStack Recommends
Creating Business Value With Big Data
Effective DataOps Services with Platform Approach provide integration and automation workflows across the organization for making data accessible and providing a 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.
Augmented Analytics
Modernization of data warehouses with cloud provides flexibility and agility for data operations and analytics on scale for intelligent decisioning.
DataOps Services for Building Data-Centric Organizations.
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 Services 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
XenonStack offers solutions for enabling Big Data Compliance, Analytics Security, Hadoop Security, and Data Security Governance.
Solutions for Operationalizing and Simplifying Real-Time Data Integration.
Enterprise Integrated data solutions for Master Data Management, Data Governance, and Data Security.
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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Top 12 Enterprise Data Strategy to Transform Business
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DataOps as a Service: Introduction, Services and Benefits
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Implementing DataOps Architecture in AWS, Azure, and GCP
DataOps Framework to Automate 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
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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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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:-
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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...
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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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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.
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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