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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.
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.
Functional data architecture with data security helps to structure and secure the operational environment in which the data will be integrated, stored and processed.
Transforming input data into a suitable format for creating reliable insights. Enabling business users with insights to make intelligent and data-driven business decisions.
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
MDM solutions are driven around reducing redundant, inconsistent data and providing a unified view of insights and information.
Data Management Strategy
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.
Manage, Transform, govern, control, improve and exploit data for beneficial business outcome.
Google Cloud's Database Solution
Deliver the best experience to customers with Reliable, global scale, and open standards GCP solutions.
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.
Azure End-to-End EDM Services
Manage Data Assets with Business Glossary, Dictionary, Data modeling, and discovery, Source connectivity, and more with Azure.
Data Integration architecture solutions empower enterprises with end-to-end lifecycle management
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
Enterprise AI
Big Data Engineering
Generative AI
DevOps
Data Science
Data Visualization
RESET
Today’s customer demands that he get his desired services or products with minimal waiting time in this global village. It has evolved from a value addition of providing perceived user convenience...
Overview of Edge AI System Artificial Intelligence (AI) and Machine Learning (ML) have become revolutionary across many fields, such as healthcare and manufacturing. One of the most viable forms of...
Agriculture is considered the birthplace of humanity, and it provides products to support sustenance in the community. However, conventional farming techniques still do not meet up with today’s...
Real-time visibility into infrastructure and application failures is essential for ensuring high availability in today’s digital environment. Traditional monitoring solutions often struggle to detect...
With the current technological developments, it is common for organizations to have access to tons of information from different angles. The structures might include structured databases,...
Introduction to Apache Kafka In a data-driven approach, business decisions are based on data, not intuitions. Hence, data-driven organizations use this strategic process to leverage insights from...
In the last few years, LLMs have emerged as some of the most influential technologies shaping several industries, ranging from customer support to analytics. Such AI-grounded systems allow for highly...
Empowering Security Operations with Agentic AI and Agents Technological advancements in the digital sphere are growing rapidly, and as a result, organizations are beset with an increasing number of...
Gen AI in Customer Success In less than a year, generative AI has significantly improved, changing how we think about creativity and productivity. It has transformed various fields, from image to...
What is Application Release Orchestration? Application release orchestration is the coordination of the tasks associated with the deployment of software updates over different release environments,...
What is Release Engineering? Release engineering is a new and rapidly growing subject of software engineering. It derives the standards for application development and is seriously followed to ensure...
Overview of Persistent Storage Persistent Storage is critical for running stateful containers. Kubernetes is an open-source system for automating the deployment and management of containerized...
Security Operations Centres (SOCs) are central to an organization’s cybersecurity function because they are responsible for analyzing, researching and mitigating security threats. But, as threats...
Introduction to Real-Time Analytics Data without context is worthless. All our efforts will be in vain if we hesitate to act, pivot, or modify. We can examine every rock and draw every potential...
Introduction to Amazon SageMaker Regarding Machine Learning (ML) and giving it as a service, it requires Data Engineering, ML, and DevOps expertise. While deploying a production model, several issues...
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...
Importance of Data Visualization Data visualization is a powerful tool that transforms complex datasets into visual formats, making it easier to understand trends, patterns, and insights. In an age...
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...
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...
In supercomputing, the distribution of network traffic has an overwhelming impact on a system's overall effectiveness and reliability. With increasing application usage, more traffic has to be dealt...
In today's fast-paced digital world, large-scale application management is important. As companies more readily embrace microservices frameworks, the dilemma of deployment, scaling, and maintenance...
Introduction SLO-Based Multi-Stage Delivery The software development industry is very dynamic, and there is always a demand for delivering quality applications. Developed software is required to be...
In today's global environment, organizations find themselves vulnerable to ever-more-subtle cyber threats, and simple methods of guarding against cyber threats prove ineffective. As attackers...
In today’s cyberspace perspective, threats are frequent and growing sophisticated in their modes of operations to harm an organization, hence the need for better methods and mechanisms. Many of the...
In the context of globalization, the supply chains are lengthening and involving many partners, multiple geographical areas, and many products. These networks pose inherent advantages such as cost...
Introduction Generative AI is revolutionizing urban landscapes, catapulting cities into a future where technology complements and enhances every aspect of urban living. This digital transformation...
The landscape of financial markets and wealth management is rapidly evolving, driven by advances in technology and data science. Among the most promising developments is applying Reinforcement...
Find out more about levaraging the true potential of AI
Streaming Analytics
Data Catalog
Data Lineage
Data Denormalization
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 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.
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.
