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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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Introduction to Generative AI Code Assistants In software development, developers often face challenges that hinder their productivity and efficiency. They struggle to find code snippets, debug...

Introduction to Generative AI and Synthetic Data The Synthetic Data Generation Market is expected to experience a significant growth of 43.13% between 2023 and 2027, with the market size projected...

Introduction to Generative AI in Telecom The telecom industry has undergone a rapid transformation in recent years, and with the advent of generative AI, it is set to change even more dramatically....

Introduction to Data Catalog and Discovery Platform In today's data-driven world, companies are increasingly recognizing the value of data and investing more in harnessing its power to drive...

What is AWS Data Catalog? AWS Data Catalog is a prospering metadata management service nowadays. It offers two forms:

Introduction to Data Catalog for Hadoop Data Catalog is the complete collection of metadata, with various data management tools combined with it. The Data Catalog for Hadoop helps users and analysts...

Introduction to Enterprise Data Catalog In today's data-driven world, enterprises generate vast amounts of data daily. Managing and utilizing this data efficiently can significantly challenge many...

Best Practices for implementing AI 1. Understanding the AI Applications Landscape Developers must understand the AI landscape, including machine learning, deep learning, and natural language...

Artificial Intelligence Overview AI refers to ‘Artificial Intelligence’ which means making machines capable of performing quick tasks like human beings. In simple words, artificial intelligence (AI)...

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 The two most critical methodologies are integral to software development's efficiency and reliability. Despite the fact that both strive to simplify end-user access to code, they...

Introduction In the ever-evolving landscape of modern applications, ensuring seamless user experiences and optimal performance has become paramount. As applications span across complex distributed...

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...

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 Today's business world is witnessing groundbreaking innovations reshaping industries, and 5G technology, coupled with Automated Ground Vehicles (AGVs), is at the forefront of this...

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 by the cloud....

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 Cloud Native Application Before reading about Cloud Native Applications, we must be aware of the term pattern, so in layman, the term pattern is the art of figuring out a good...

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...

Overview of Storage Class in Kubernetes To understand the concept of storage class in kubernetes, first, we need to understand the volume concept in Kubernetes. In simple terms, kubernetes volume is...

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,...

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 ...

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Big Data Architecture Layers, Patterns and its Features

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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.