Automated Data Pipelines for Analytics
Data pipeline automation tools enable automation driven data integration, processing and management utilizing different cloud platforms.
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XenonStack Recommends
Augmenting Master Data Management for creating Data capital
Effective Data Management with Platform strategy makes data accessible across the organization, greater accountability and provides 360 degree view of customer insights to make data informed decisions and improve business processes.
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.
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.
Cloud Datawarehouse
Modernization of data warehouses with cloud provides flexibility and agility for data operations and analytics on scale for intelligent decisioning.
Role of DataOps in Building a Data-Centric Organization
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.
DataOps Solutions for Management and Governance
Enterprise Data Strategy to Transform Business
Transform Data into Intelligence, and discover how to develop a Modern Enterprise Data Strategy.
Explore Key Capabilities of a Modern Enterprise Data Strategy
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.
Google Cloud for Big Data
Production-Ready Google Cloud Solutions with Cloud DataFlow, and Google BigQuery for Batch and Stream Processing Analytics.
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.
Azure Data Lake Solutions
Azure Stream Analytics and Data Lake Analytics with HDInsight for optimized IoT and Streaming Solutions and capabilities.
What are the Benefits of the DataOps Methodology?
DataOps Implementation and Adoption Best Practices
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Top 12 Enterprise Data Strategy to Transform Business
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DataOps as a Service: Introduction, Services and Benefits
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Implementing DataOps Architecture in AWS, Azure, and GCP
Modernizing and Automating Real Time Data Analytics Pipeline
Data operations and agile development for data analytics enable effective enterprise data management and Governance.
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Big Data Engineering
Enterprise AI
Data Science
DevOps
Data Visualization
Serverless
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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 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...
Introduction to Automated ML 50% of respondents said their companies had embraced AI in at least one of their business functions. 1/3 of IT leaders are preparing to use ML for business analytics. 25%...
Introduction to Artificial Intelligence Artificial intelligence (AI) plays an essential role in maintaining the future of work. In an increasingly complex and continuously accessible marketplace,...
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...
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 The importance of cybersecurity increase with the adoption and reliance on digital products and services. The technological landscape is a vast battleground where threats look for...
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...
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Overview of Data Management Best Practices with DataOps
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Big Data Governance Tools, Benefits and Best Practices
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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.
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