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Big Data Infrastructure Solutions and Services

Scalable and Robust Data Infrastructure for Streaming Analytics

Building Analytics workload infrastructure with progressive delivery and GitOps for hybrid cloud. With Data Mesh and Lakehouse Approach for scalable and real time analytics platform using Apache Flink and Apache Spark.

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Deploy, Manage and Automate Data Pipelines.

Deploy, Manage, Monitor  Data Infrastructure on Hybrid Cloud

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Streaming Analytics Workloads

Empower effective prediction and optimization of business outcomes, additionally scaling Data Intelligence and Discovery capabilities.

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Data Observability 

Build Real Time Integration Platform  with Data Governance and Data Quality with Observability Pipelines

Big Data Infrastructure Automation

Integrate Hadoop Cluster with OpenStack for faster cluster provision and easy configuration to enable enterprises to Scale Up and Scales Down on demand.

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Data Management Solutions to Embrace Scalability

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Big Data Analytics Solution

Empowers enterprises to automate the process of turning data into insights further facilitating your business achieve goals such as customer retention success and predict customer behaviour using predictive modelling, and 360 Degree Customer View for understanding customers.

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Take the measures and tools used to secure both the data and analytics methods from attacks, theft, or other malicious activities that could cause a problem or negatively affect them.

Migrate workload into Apache Hadoop and Apache Spark for scalable, secure, consistenet and reliable analytics.

Streaming data from disparate sources and turn them into insights to enable real-time decision making, fraud detection, personalized User Experience, and recommendations.

Reduces modern architecture's complexity, leverages modernization best practices, and automates operations.

Big Data Infrastructure Services

Servcies for enterprise for efficient and Scalable solutions to manage workloads at scale.

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Google Cloud Platform

Services to scale to thousands of servers while maintaining high performance and strong consistency.

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AWS Services

Build, secure, and deploy big data applications to leverage the latest technologies without making long-term investment commitments.

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Azure Services

Deliver new value to your business with Azure fully managed relational and NoSQL database services.

Big Data Infrastructure for Enterprises

Contro analytics workloads and accelerate more reliable business decisions

Big Data Infrastructure Solutions to Deliver Reliable Information as Required

Scale and automate the data transformation and complex analytical queries with cloud and serverless functions

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Key Enablers

Enablers for Accelerating Digital Transformation

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Introduction Over the past twenty years, Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) systems have evolved significantly. Initially characterized by manual data entry...

Introduction Generative AI (ARTIFICIAL INTELLIGENCE) is a set of machine learning techniques that can generate content such as images, music, and text that closely resembles human-created content. On...

Introduction: Understanding the Origins of Dangerous AI To effectively manage a dangerous AI system, it is crucial to understand the factors that led to its dangerous state. The portrayal of AI in...

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,...

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Big Data Architecture Layers, Patterns and its Features

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Big Data Architecture Layers, Patterns and its Features

Data Warehouse

Data Lakehouse

Data Fabric

Data Mesh

Data Warehouse

Integrate large amounts of input from multiple sources into suited modern architecture, thus breaking the silos for an organization's growth.

Data Lakehouse

Building Lakehouse based solutions for modernizing data lakes and ensuring simplified schema management and governance.

End-to-End Data Management capacities which work on automating data discovery, monitoring storage costs and performance.

Data Mesh

Data Mesh is a metadata-driven approach that facilitates agility, data accessibility and Standardized data observability.