Cloud Based Big Data Analytics Services
Building efficient and Scalable solutions for huge workloads with Analytical Capabilities.
Explore All
Fuel Better and Faster Decision-Making
Intelligent solutions for empowering enterprises to discover deep & actionable insights and enable businesses to scale to the next level.
Data Discovery
Prevent the loss or exposure of sensitive information enables the organization to implement security measures and allow teams to look deeper and reveal insights
Advanced Intelligence
Automating the transformation and presenting information in a meaningful and easily interpretable way to decision-makers for business outcomes.
Augmented Analytics
Applying Machine learning, NLP and Deep learning for Data preparation, processing and management for Intelligent Insights.
Big Data Analytics Services for Enterprises
Organizations automate the processes of the technology stack by outsourcing and focusing on the new capabilities to improve insights and services.
Advanced Big Data Analytics Solutions to Deliver Real Business Insights
Enterprise Big Data Infrastructure
Enabling Infrastructure to help enterprises to build Information Engineering competencies. Align Technology Team with Business Perspectives and Facilitate Advanced Analytical Solution.
Explore more about Building Infrastructure Strategy
Leverage Real-Time Monitoring Solutions for empowering Valuable Insights and large Scale Processing.
Enable Real-Time Ingestion, Predictive Maintenance, and User behavior Analytical Solutions.
XenonStack provides enterprise strategy and consulting for Enterprises to build analytical capabilities and next-generation deep insights-empowered applications.
Integrate large amounts of input from multiple sources into suited modern architecture, thus breaking the silos for an organization's growth.
Solution for Google Cloud Platform
Enable data-driven decisions with Google Cloud Datalab and Google Studio.
AWS Fully Managed Solution
Leverage real-time business insights with Amazon Athena, Amazon EMR and Amazon Kinesis.
Solution for Microsoft Azure Datalake
Building focused solutions with Azure Cloud with Azure Stream Analytics and HDInsight.
How Enterprises can Adopt Big Data Analytics Solutions?
Align real-time insights with business goals and streamline operational processes.
-
D&A Trends That You Should Know in 2022
-
Top 12 Enterprise Data Strategy to Transform Business
-
Automating Intelligent based Video Analytics Platform
Advanced Big Data Analytics Services with Predictive and Prescriptive Capabilities for Intelligent Decision-Making
Progressive organizations are ingraining advanced analytics into enterprise strategy and transformation
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
View All
Key Enablers
Enablers for Accelerating Digital Transformation
Big Data Engineering
Enterprise AI
Data Science
DevOps
Data Visualization
Serverless
View All
RESET
Here are our Recommendations...
Companies can effortlessly access and analyze data that helps improve decisions with the help of business intelligence and data analytics tools and practices. Having the right information at the...
What is Apache Solr? Apache Solr is an open source search platform developed upon a Java library described Lucene. Solr is a kind of full-text search server that uses the Lucene Java search library...
What is Serverless Applications? Serverless does not mean that there is no server. It means you don’t have that server in which you are going to be managing and putting your entire application....
Introduction to Edge AI in Automotive Industry When we think about Edge AI in the automotive industry, most of us have thought about cars' functionality that can be remotely controlled via smart...
Introduction to Responsible AI for Customer Services As Artificial Intelligence technologies become more pervasive, solutions such as recommending products, risk assessment, behavior assessment,...
Introduction Edge AI Processing data near the edge of the network, where the data is generated, instead of a centralized data-processing warehouse. Edge computing enables mobile computing and IoT...
Introduction to Machine Learning For many years, developers and businesses have understood how important it is to test the software before deployment. Before it can interface with the customers, the...
Why do we need to streamline the Machine Learning Projects? During a machine learning project, the phases to be implemented are defined by machine learning workflows. Data collection, preprocessing,...
Introduction to NLP in AI In today's digital world, businesses are overpowered with unstructured data. So without the right technology, businesses can't process and analyze a huge volume of...
What is an API? The API stands for Application Programming Interface. It is a software interface that allows you to communicate with more than two applications. In other words, an API is a messenger...
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 to AIOps and DevOps While orchestration and monitoring play key roles in DevOps, the emerging practice of using artificial intelligence (AI) to support and automate operational roles by...
Introduction to Open Telemetry Open Telemetry is an open-source project hosted by CNCF that provides a standard way to generate telemetry data. It provides a set of APIs, libraries, agents, and...
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...
Overview of Data Visualization Data Visualization is the graphical representation of information. By using best Visualization tools or visual parts like layouts, outlines, and maps, data perception...
What is 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 required to...
What is Infrastructure Management? Infrastructure management is the process of overseeing and maintaining the hardware, software, and related systems that support an organization's operations. This...
Introduction to AWS Serverless Computing Before we introduce AWS Serverless Computing let's talk about it. Basically in layman language usage of serverless computing will result in No efforts...
Introduction to Threat Intelligence Threat intelligence is the process of gathering and analyzing information about potential security threats to an organization, with the aim of preventing or...
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...
What is Security Testing? A testing type of software testing that reveals vulnerabilities, pitfalls, and pitfalls in a software operation prevents vicious attacks from interfering. The purpose of...
Introduction to Product Development With new products hitting the market daily, the need to develop better products is increasing daily. Factors like industry, product type, features, and others come...
Introduction to Incident Management Tools Incident management tools are software applications that help organizations manage incidents, track and monitor incident response progress, and measure the...
Introduction to BizOps for Digital Transformation It is a constant mantra in today’s business world. It’s not just about creating digital products, services, and experiences. To succeed in the...
Introduction to Digital Business Automation Business Process automation comes with many advantages, including increased customer satisfaction, service consistency, managed workflow, etc. With the...
What is Digital Transformation? Have you ever thought of using technologies to modify existing or create new business processes? Thinking of customer experiences to meet changing business and market...
What is Big Data in Cloud Computing? The efficient operation of large data applications in cloud-native environments is a difficult problem with both theoretical and practical value.
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 ...
Introduction to Kubernetes Security In recent years, the digital world has seen a transition of application architecture from monolithic to microservice. Containerization & container orchestration...
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...
Digital Transformation Enablers
Request for Services
Find out more about levaraging the true potential of AI
Connect to a Technology Specialist
×
Thanks for submitting the form.
×
Thanks for submitting the form.
Helping Enterprises develop Cloud Native and AI-First Capabilities
Enablers for Accelerating Digital Transformation
Featured Big Data Analytics Insights
Apache NiFi Services for Real-Time and Streaming Analytics
Apache NiFi Services for Real-Time and Streaming Analytics
What is Big Data: Characteristics, Challenges, Tools & Use Cases
What is Big Data: Characteristics, Challenges, Tools & Use Cases
Thanks for submitting the form.
AI Driven Analytical Solution
Search Driven Analytical Solution
Augmented Intelligence
Predictive Analytics
AI Driven Analytical Solution
Customer Analytics Consulting Services for building Customer Segmentation Strategy, Churn Management, and Prediction.
Search Driven Analytical Solution
Cloud-Based development solutions which works on providing unified search experience, and building NLP Enabled content Analysis.
Augmented Analytics enable firms to accomplish business values faster, more profound, and larger scale.
Predictive Analytics
Predictive Analytics analyses historical data and finds trends and patterns using statistics.
Transform your
Enterprise With XS
Capabilities
-
Adapt to new evolving tech stack solutions to ensure informed business decisions.
-
Achieve Unified Customer Experience with efficient and intelligent insight-driven solutions.
-
Leverage the True potential of AI-driven implementation to streamline the development of applications.
Facebook
Twitter
LinkedIn
Email