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Data Management and Analytics Services - DataOps

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.

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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.

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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.

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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.

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DataOps Solutions for Management and Governance

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Enterprise Data Strategy to Transform Business

Transform Data into Intelligence, and discover how to develop a Modern Enterprise Data Strategy.

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Improved Data Security

XenonStack offers solutions for enabling Big Data Compliance, Analytics Security, Hadoop Security, and Data Security Governance.

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Streamlining Data Integration

Solutions for Operationalizing and Simplifying Real-Time Data Integration.

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Enterprise-Grade Data Management

Enterprise Integrated data solutions for Master Data Management, Data Governance, and Data Security.

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Intelligent DataOps platform

Building Intelligent DataOps Platform for enabling effective Data Integration and Data Drift Management.

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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Google Cloud for Big Data

Production-Ready Google Cloud Solutions with Cloud DataFlow, and Google BigQuery for Batch and Stream Processing Analytics.

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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.

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Azure Data Lake Solutions

Azure Stream Analytics and Data Lake Analytics with HDInsight for optimized IoT and Streaming Solutions and capabilities.

Modernizing and Automating Real Time Data Analytics Pipeline

Data operations and agile development for data analytics enable effective enterprise data management and Governance.

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Enterprise Technology

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Banking and Finance Sector

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Healthcare

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Education

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Transportation

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Retail

Key Enablers

Enablers for Accelerating Digital Transformation

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Big Data Engineering

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Data Science

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DevOps

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Data Visualization

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Enterprise AI

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Here are our Recommendations...

Introduction to Big Data Visualization For analyzing big data efficiently, the most important thing is to choose perfect visualization tools. A perfect visualization tool will generate an efficient...

Introduction to Data Ingestion Data Ingestion is a part of the Big Data Architectural Layer in which components are decoupled so that analytic capabilities may begin. It is all about data storage and...

Introduction to Big Data Architecture Big Data Architecture helps design theData Pipelinewith the various requirements of either the Batch Processing System or Stream Processing System. This...

Augmented Analytics- The Next Wave of Disruption In the field of data and analytics, the next big wave is to enable businesses to accomplish business values faster, more profound, and at a much...

Evolution of Analytics in the last decade Around ten years ago, the tools for analytics or the available resources were excel, SQL databases, and similar relatively simple ones when compared to the...

Why Continuous Integration and Deployment? Like in Modern Web Applications, it needs Agile systems because of the ever-changing requirements of the clients and consumers. In Machine Learning the...

Introduction to Blue-Green Deployment Blue/Green deployment is an application or service release technique that shifts the incoming traffic from an older version of the application or microservice to...

What is Infrastructure as Code? Infrastructure as Code is a higher-level abstraction to write code/login in a high-level language that utilizes modules to perform tasks on the machine level....

Introduction to Wasm Wasm, officially called Web-Assembly, is an Optimized code format and API for the web. It can significantly enhance the performance of websites. Its version 1.0 was released in...

Overview of Data Visualization  Data Viz or Data Visualization is the graphical representation of data and information. By using best Big Data Visualization tools or visual parts like layouts,...

What is Data Visualization? Data Visualization Techniques uses charts and graphs to visualize large amounts of complex data. Visualization provides a quick, easy way to convey concepts and summarize...

Introduction to Data Visualization A picture is worth a million words – especially when you are trying to understand and discover insights from data. Visuals are especially helpful when you’re trying...

Introduction to Robotic Process Automation (RPA) Humans are again entering into the new era of automation. Robotic Process Automation is one transformation that is automating our daily repetitive...

Introduction to ModelOps and CloudOps In the last few years, there has been an increase in AI and machine learning (ML) technology. These technologies are getting implemented in hundreds of use cases...

Introduction to Test Automation Test automation is the utilization of specialized software to control the execution of tests and the comparison of actual outcomes with predicted results. In the past,...

Introduction to Agile Methodology Agile is a methodology that allows continuous iteration of development and testing all through the software development life cycle. Iteration is described as a small...

Agile User Story Principles and its Benefits | The Complete Guide

Overview of Agile User Story User Story is the High-level definition of the requirement of project demands, that involves enough information that the developer has to give an estimate of the effort...

What is a Testing Pipeline? An Automated Testing Pipeline is a group of jobs or tasks that are executed in stages also called batches. Pipelines comprise - Jobs that define what to run. For example,...

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 Digital Transformation? Have you ever thought of using technologies to modify existing or creating new business processes? Thinking of customer experiences to meet changing business and...

Overview of Deploying Rocket Chat on Kubernetes In this Blog, We will Cover How to Build Slack like Online Chat using Rocket Chat and Deploy on Containers using Docker and Kubernetes. Before This, We...

What is Kubernetes? Kubernetes is an open-source container orchestration engine and also an abstraction layer for managing full-stack operations of hosts and containers. From deployment, Scaling,...

Overview of Event-Driven Architecture Event-Driven Architecture (EDA) is a model or an architectural paradigm for software that supports the production, detection, consumption of, and reaction to...

Introducing Azure Security Services Azure is a hybrid cloud service platform. It supports a wide variety of operating systems, computing languages, architectures, resources, applications, and...

What is Secure Coding? Secure coding is the practice of writing code in any programming language to prevent any known vulnerability in our code. Vulnerabilities that could expose any data and cause...

Introduction to Adaptive Security Adaptive Security is a real-time security model or approach that continuously investigates behaviors and events to protect against the threat and adapt to the...

Introduction 2020 will be remembered as the most difficult, significant, and eventful year of their lives for many people. Then came the year 2021. When we thought the worst was over, the second...

What is Technology SuperStar? Everyone wants to be a superstar, be it acting, dancing, coding, marketing, or from whatever field they are. But, in XenonStack Glassdoor , Best Place to Work , we make...

How the 2020 Calendar Started? The 2020 Calendar of XenonStack kicked off with a basket of achievements. We became “ Silver Member of Cloud Native Computing Foundation,” “ Silver Member of The Linux...

Digital Transformation Enablers

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Banking and Finance Sector

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Healthcare

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Education

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Transportation

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Retail

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Media

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Insurance

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Manufacturing

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Consumer Technology

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Oil and Gas

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Travel

Related DataOps Insights

Overview of Data Management Best Practices with DataOps

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Overview of Data Management Best Practices with DataOps

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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

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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.