XenonStack Recommends

Data Management Services and Solutions

Driving innovation through Enterprise Data Management

EDM implementation services assist organizations in managing and handling many types of data and formats, from legacy data to the most recent forms of internal and external sources. Build an effective enterprise data management transformation strategy that reduces modern architecture's complexity and automates operations by providing easy access to business users.

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Data Governance

The main Fundamental purpose is to define policies, procedures, roles, tasks and ownership in the whole organisation. Defining the key business metrics for data consistency, quality, and trustworthiness. 

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Data Architecture and Security

Functional data architecture with data security helps to structure and secure the operational environment in which the data will be integrated, stored and processed.

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Data Warehousing and BI

Transforming input data into a suitable format for creating reliable insights. Enabling business users with insights to make intelligent and data-driven business decisions.

Consolidate Business data with Data Management Strategy

Every enterprise has to define the data strategy based on its needs and business objectives. Ensuring the Data reliability and lineage to produce precise insights

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Enterprise Data Management (EDM) offerings for an agile and data-centric organization 

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Master data management (MDM)

MDM solutions are driven around reducing redundant, inconsistent data and providing a unified view of insights and information.

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AI-driven automated discovery, classification, and metadata management solutions for businesses.

Real-Time Ingestion and Processing has driven capabilities to reduce downtime and latency, and gain visibility into the infrastructure health.

Create governance and security models for stewards to build a single source of truth to keep the organization agile.

Empowering AI and Intelligence-driven businesses. End-to-End BI Implementation and Consulting Solutions to facilitate data-driven decision-making.

Enterprise Data Management Services Platforms

Manage, Transform, govern, control, improve and exploit data for beneficial business outcome.

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AWS Analytics Services

Reinvent business with data from its movement, storage, creation of modern architecture, analytics, log and streaming analytics, BI, and ML; AWS offers all services.

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Azure End-to-End EDM Services

Manage Data Assets with Business Glossary, Dictionary, Data modeling, and discovery, Source connectivity, and more with Azure.

Rapid access to High-Quality and Business-ready Pipelines and Insights

Data Integration architecture solutions empower enterprises with end-to-end lifecycle management

Adapt and respond to change faster and effectively by managing enterprise data

XenonStack provides assessments, strategy and implementation for effective and flexible Enterprise Data Management .

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Enterprise Technology

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Key Enablers

Enablers for Accelerating Digital Transformation

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Enterprise AI

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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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Here are our Recommendations...

Introduction In the era of AI, the importance of data annotation for training machine learning models cannot be overstated. Yet, traditional methods of data labelling are plagued by inefficiencies,...

Introduction In contemporary agricultural practices, data has emerged as a valuable tool for making well-informed decisions regarding crop production and risk mitigation. Known as data-driven...

Current State of Infrastructure as Code (IaC) IaC treats physical network, infrastructure, compute like software. This means provisioning and managing the cloud resources happen through code,...

Introduction to Intelligent Document Processing In today's digital age, document processing is critical for businesses. Organizations often need help with data entry errors, lack of scalability, and...

Introduction To Test Driven Development for Java using JUnit Before we get started, let us understand some basics. Software testing plays an essential role in the life cycle of software development....

What is IoT Analytics Platform? IoT analytics is a valuable application designed to decipher the extensive data generated by interconnected IoT devices. Coined by Kevin Ashton, a cofounder of the...

Introduction To Generative AI in Log Analytics Log data is a goldmine of information, constituting a significant aspect of big data. The sheer volume and diversity of logs generated by systems,...

The Future of Augmented Analytics and Its Advantages In the year 2022, the global augmented analytics market achieved a valuation milestone, reaching USD 15.84 billion. Projections indicate a notable...

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...

Introduction to Microservices Testing Microservices testing is a strategy used to ensure the functionality and performance of individual services within a microservices architecture. This approach...

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 effective, reducing the costs...

Introduction In the ever-evolving world of software development, DevOps teams are always looking for innovative ways to make their work more efficient and deliver top-notch software faster. In this...

Introduction to Data Visualization Data Visualization is a method of translating raw data into visual forms like charts, graphs, and maps. It has quickly become famous for publishing information on...

What is user Experience Testing? User experience testing is having actual people engage with a website, app, or other product you've created and analyzing their behaviours and reactions. It is a...

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...

Clutch Review for Big Data and Cloud Consulting XenonStack Joins Clutch’s Research of Best Big Data and Cloud Consulting Companies. Read more about the review XenonStack Big Data Analytics Consulting...

Introduction The transition to 5G is not just a small step forward; it's a groundbreaking move that revolutionizes the entire spectrum of wireless communication. While much has been said about public...

Introduction In today's digital age, the need for faster and more reliable network connectivity is more crucial than ever. Whether you're streaming video content, playing online games, or running a...

Introduction Large Language Models, or LLMs, have emerged as powerful tools for the industry that have the potential to transform a variety of sectors. They can make inventive create text, interpret...

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...

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 in the cloud....

Introduction to Cloud Native Storage Solutions: Efficient Data Management Cloud native is a new paradigm for developing and running software applications that incorporates technological trends such...

Introduction to Cloud Native Network Functions A cloud-native network function (CNF) is a service that executes network functions in software rather than dedicated hardware. Because of the huge and...

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...

Kubernetes Operators - Streamline Cluster Management 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...

Discover the Potential of Kubernetes, IaC and Helm Kubernetes is one of the best platforms to deploy and manage containerized applications. But deploying such containerized applications to it can be...

Kubernetes - A Container Orchestration Platform In today's rapidly evolving digital landscape, the demand for cloud computing is skyrocketing. Whether it's a small startup or a large enterprise,...

Digital Transformation Enablers

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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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Retail

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Media

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Enablers for Accelerating Digital Transformation

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  • DataOps Services_19 Line-Icon-Insurance

    Enterprise AI

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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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    Cloud Native Applications

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    Kubernetes

Related Insights

Overcome the challenges posed by complex mass-scale enterprise IT

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Overcome the challenges posed by complex mass-scale enterprise IT

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Leveraging DevOps Principles for Better Analytics

Leveraging DevOps Principles for Better Analytics

Security Management and best practices

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Security Management and best practices

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Streaming Analytics

Data Catalog

Data Lineage

Data Denormalization

Streaming Analytics

Streaming analytics is continuously processing and analyzing data records rather than in batches. Streaming analytics is helpful for data sources that send data in small sizes in a steady flow as the data is generated.

Data Catalog

Data Catalog provides a single self-service environment to the users, helping them find, understand, and trust the data source.

Data lineage is the process of understanding, documenting, and visualizing the data from its origin to its consumption.

Data Denormalization

Denormalization is a technique in which we add the duplicate data to one or more table. With the help of this, we can avoid costly joins in a relational database.