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DataOps Consulting Services and Solutions - Modern Data Company

Creating Business Value With Big Data 

Effective DataOps Services with Platform Approach provide integration and automation workflows across the organization for making data accessible and providing a 360-degree view of customer insights to make data-informed decisions and improve business processes.

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Augmented Data Quality

Analyze and Monitor Data with machine learning and AI helps to identify data quality issues and data fabric design enables dynamic and augmented data integration.

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Open MetaData Management

Centralizing all the metadata to simplify the data discovery, collaboration and analytics to get Real insights with flexibility of push/pull and easy-to-use APIs.

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Augmented Analytics

Modernization of data warehouses with cloud provides flexibility and agility for data operations and analytics on scale for intelligent decisioning.

DataOps Services for Building Data-Centric Organizations.

Implementing Data Fabric and Data Mesh principles empowers enterprises to enable augmented data intelligence with open metadata management for augmented analytics and data observability and reliability platform to provide autonomous data experience.

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DataOps Services for Management and Governance

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Enterprise Data Strategy to Transform Business

Transform Data into Intelligence, and discover how to develop a Modern Enterprise Data Strategy.

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XenonStack offers solutions for enabling Big Data Compliance, Analytics Security, Hadoop Security, and Data Security Governance.

Solutions for Operationalizing and Simplifying Real-Time Data Integration.

Enterprise Integrated data solutions for Master Data Management, Data Governance, and Data Security.

Building Intelligent DataOps Platform for enabling effective Data Integration and Data Drift Management.

DataOps Services for Analytics

Data pipeline automation tools enable automation driven data integration, processing and management utilizing different cloud platforms.

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Google Cloud for Big Data

Production-Ready Google Cloud Solutions with Cloud DataFlow, and Google BigQuery for Batch and Stream Processing Analytics.

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AWS Big Data Analytics

Developing AWS Analytics and Big Data Solutions with Amazon EMR, Amazon Kinesis, Amazon Glue, Amazon Athena, Amazon DynamoDB and Amazon Aurora.

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Azure Data Lake Solutions

Azure Stream Analytics and Data Lake Analytics with HDInsight for optimized IoT and Streaming Solutions and capabilities.

DataOps Framework to Automate Real Time Data Analytics Pipeline

Data operations and agile development for data analytics enable effective enterprise data management and Governance.

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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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Enablers for Accelerating Digital Transformation

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Generative AI Moving Towards Healthcare Generative AI, or generative adversarial networks (GANs), is artificial intelligence capable of creating new content, such as images, music, and text. It uses...

What is Generative ‘AI’ Generative AI, also known as Generative Adversarial Networks (GANs), is a subset of artificial intelligence (AI) that focuses on generating new and original data based on...

Introduction Generative Artificial Intelligence (AI) has revolutionized various fields, including art, music, and content generation. With the ability to create original and realistic outputs,...

Overview Azure Data Factory and Apache Airflow Data-driven decision-making allows organizations to take strategic decisions and actions that align with their objectives and goal at the right time....

How Angular compiles and its performance? The application can be compiled using two following commands:-

Introduction to Metadata Management The most crucial process for a successful digital initiative plan is metadata management. It is currently essential for managing the information assets in an...

Introduction to Azure Digital Twin Platform When we talk about the Internet of Things solutions, think of devices like a windmill, which consists of sensors that generate pressure or temperature...

Machine Learning Model Operationalization Today Businesses are searching for ways to put Machine Learning in their arsenal to improve their decision-making. But in reality, it has been seen while...

What is Log Analysis? Log analysis is the method of evaluating computer-generated event logs to proactively discover faults, security hazards, and other issues. Log analysis can also be applied more...

Getting Started with IaC 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...

Overview of Test Driven Development (TDD) Test Driven Development (TDD) is a great approach for software development. TDD is nothing but the development of tests before adding a feature in code....

What is Monolith? A monolith application is a deployment setup where a single deployment unit handles various business activities. Such applications are good to start with and develop features with,...

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 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...

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...

Overview of Serverless Computing In the past, when developers wanted to host any of their websites, there was the need for a physical data center where their server would run, which is very bulky and...

Introduction to Edge Computing with 5G Thanks to the Internet of Things (IoT), more and more devices are connected, including homes, heating systems, fitness trackers, and vehicles. Edge computing...

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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....

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Big Data Governance Tools, Benefits and Best Practices

Big Data Governance Tools, Benefits and Best Practices

What are the Top Data Challenges and Solutions to Overcome them

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What are the Top Data Challenges and Solutions to Overcome them

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Data Lineage

Data Governance

Data Catalog

Enterprise Data Strategy

Data Lineage

Discover more about how Data Lineage helps to Streamline and facilitate effective Data Mapping

Data Governance

Data Governance is a collection of procedures/methods which involve Data Quality Management, Promoting Data Policies, Enabling Regulatory Compliance, and Mapping Risk Management.

Using Data Catalog Enterprises can obtain Data Intelligence, Manage business glossary and develop Operational efficiency

Enterprise Data Strategy

Enterprise Data Strategy shows the capabilities of an organization that how they can leverage their Data to enable their Reporting and Decision Systems efficiently which impacts the business Outcome.