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DataOps as a Service: Introduction, Services and Benefits
Overview of benefits and Implementing DataOps as a Service in Enterprise to bring streamlined changes in data analytics throughout the life cycle
What is Real-Time Intelligence? Complete Guide
Real-time intelligence is the process of delivering business intelligence about business operations as they happen in near-to-zero latency.
Governed Data Lake | The Advanced Guide 2021
Building Governed Data Lake on-premises to stores data for reliable access, management and security of data.
Managed Analytics Services and Solutions - Modern Data Company
XenonStack enabling data centric culture in organisations with Managed Analytics Services for decision driven analytics and intelligence.
Augmented Data Quality Best Practices and its Features
Augmented Data Quality best practices and its features for profiling, matching data, poor quality warning, and merging are the data quality tasks.
Master Data Management in Supply Chain
Discover how Master Data Management in Supply Chain enhances data accuracy, compliance, and decision-making for improved operational efficiency.
Google Cloud Services for Real-Time Analytics
Google Cloud Services for real-time analytics to enable enterprises with actionable real-time insights on large-scale streaming data.
Understanding Time-series Databases in Real-Time Analytics
Guide to Time-series Databases in Real-Time Analytics and comparison with relational databases to store and retrieve data records.
Distributed Systems Observability | The Ultimate Guide
Distributed Systems Observability to diagnose and resolve issues in distributed systems quickly and resolve issues before they escalate.
Apache Fink 2.0 - Real-Time Data Processing
Apache Flink 2.0 enables real-time data processing with enhanced scalability, stream analytics, and AI-driven insights for faster decisions.
Apache Airflow Benefits and Best Practices | Quick Guide
Apache Airflow benefits, best practices, working and architecture, developing Workflow and Data Pipelines on AWS and azure Kubernetes
Overview of IoT Platform | Benefits and its Best Practices
IoT Platform benefits and best practices for managing the connectivity of the devices and helps to monitor and analyze the data
Data Discovery| Unlocking Value through Smarter Decision Making
Data discovery helps businesses explore, analyze, and visualize data, uncovering trends and insights for informed, data-driven decisions
Data Governance - Benefits and Best Practices
Explore Big Data Governance: best practices for ensuring data quality, security, privacy, and compliance in today's data-driven world
Google Cloud IoT Platform
Google Cloud IoT Platform enables secure, scalable IoT solutions with real-time data processing and seamless device management
Guide to Data Catalog Architecture | Components and Work Process
Structured data catalog architecture optimizes access, enhancing informed decisions and maximizing data value
DataOps - Principles, Tools and Best Practices
A Complete Guide for DataOps tools, Best practices and principles for consistent, automated, and secured data analytics and management.
Data Validation Testing | Tools and Techniques
Understanding Data Validation Testing Working Framework, Data Validation Testing Best Practices and Advantages
Data Denormalization - A New Way to Optimize Databases
Confused between Data Denormalization and Normalization? Let us give you a Walkthrough of this wonderful technique to organize your data.
Understanding Data Modeling: Concepts and Best Practices
Data Modelling is a process of conceptualizing and visualizing the data objects and their inter-relationships to create a simplified and logical ...
Apache Arrow and Distributed Compute with Kubernetes
Best Practices for Adopting Apache Arrow, Its Integration with Apache Spark and Parquet and Distributed compute with kubernetes
What are Differences Between Cookie, Local Storage and Session Storage
Learn the key Differences Between Cookie, Local Storage and Session Storage for managing data in web applications efficiently
Top 8 Big Data Challenges and Solutions in 2024
Big Data Challenges and risks that organizations face while implementation along with solutions.
Database Managed Services and Solutions
Database Managed Services for Security Audits and Database Monitoring to Maximize the agility of businesses and boost profitability
DevOps Best Practices for Data Engineers
DevOps best practices include agile project management, continuous deployment, automation, and monitoring
Modern Data Warehouse Architecture and its Best Practices
Modern Data Warehouse Architecture and Working, Benefits and Best Practices for adopting and implementation on AWS and Azure
Data Warehouse Modernization: Future towards Hybrid Cloud
Data warehouse modernization empowers the data warehouse environment to easily adapt to changing business requirements, accommodate additional data ...
Cloud Data Warehouse
Cloud Data Warehouse can become a competitive advantage. Learn how to establish a cloud data warehouse with best Practices, benefits, use cases and ...
Implementing DataOps Architecture in AWS, Azure, and GCP
Implement DataOps Architecture in AWS, Azure, and GCP with its benefits, challenges, and solutions to recognize the data and its interconnections.
What is Modern Data Infrastructure?
Brief study for Emerging Modern Data Infrastructure to lead running scalable data pipelines for making better decisions and build data-powered ...
Data Quality Management and its Best Practices
Data quality management tools, architecture and its best practices for accurate and timely insights to extract values from large and complex data ...
Data Lineage | Tools and Best Practices
Data Lineage benefits and implementations for businesses, trace errors, implement changes in the process, and system migration to save time and ...
8 Best Practices of Data Privacy for your Business
Data privacy concerns aspects of the control process involving data sharing with third parties. As the risk of data breaches increases, so is the ...
Graph Database Architecture and Use Cases
Graph Database Architecture to add new labels, new sub graphs and new nodes to an existing structure with Use Cases and Solution for Azure Cosmos DB
Continuous ETL and Serverless Solutions
Continuous ETL (Extract, Transform and Load) Architecture and Best Practices for Serverless to process Data with AWS Glue, Athena and Data warehouse
How to Enable Big Data on Kubernetes
Enabling Big Data on Kubernetes with Apache Hadoop, Apache Spark and Kafka with Best Practices and Tools for the transition of continuous data.
Scrum Testing Methodology | Comprehensive Guide
Scrum Testing Methodology, Phases, and its challenges for dealing with complicated problems while still delivering high-quality results.
Data Lakehouse Architecture and its Use Cases in Industries
Data lakehouse architecture combines the flexibility, cost-efficiency, and scale of data lakes with data management to enable business intelligence.
A complete guide to Data Privacy
Strengthen data privacy protection, build customer trust and grow your business with elixirData solutions. Know about major use cases.
Overview of Kafka and ZooKeeper Architecture
Overview of kafka and zookeeper architecture to solve the low-latency ingestion of large amounts of event data.
What is a Data Pipeline? Benefits and its Importance
Data pipeline benefits and its essential in organizations for moving towards data-driven decisions making and eliminating manual errors.
Azure Cosmos DB Key features and Use-Cases
Azure Cosmos DB is a NoSQL database used for modern app development. Ultimate Guide to its Key benefits features and Use cases.
Getting Started with Automated Data Processing
Automated Data Processing solutions to process data efficiently between computers and other communication systems without human interaction.
Service Mesh vs API Gateway | The Ultimate Guide
Application Programming Interface (API) and Service Mesh help an application respond to external requests, but the service mesh is designed to deal ...
Data Integration Platform Cloud | A Beginner's Guide
Data Integration Platform Cloud to eliminate redundant data, boost workplace communication, converge data stores for enterprises.
Top 9 Challenges of Big Data Architecture and its solutions | Overview
Big Data architecture risks, challenges, and solutions with existing workflows for ingesting, processing, and analyzing the data to make their ...
GCP Data Catalog - A Complete Guide to Metadata Management Service
GCP Data Catalog benefits and Usecase to provide Enterprises a completely centralized service for Cloud Metadata Management.
AresDB - GPU Accelerated Real Time Big Data Analytics Engine
AresDB, Uber's GPU-Powered New Engine for Real Time big Data Analytics to track real-time metrics and monitor for fraud detection and ad hoc ...
What is MDM Insurance and Why is it Needed in Finance Management?
Perplexed about employing MDM Insurance strategy for your business? Get to know how has it transformed the Insurance Industry strategically.
Amundsen Lyft - The New Revelation in DataOps
What is Amundsen Lyft? Get to know about the Architecture and Terminologies related to it and be a DataOps Engineer!
Data Center Migration: A Comprehensive Guide
Data Center Migration Strategy and Best Practices to deploy and relocating an existing data center from one operating environment to another.
Apache Hadoop 3.0 Features and Its Working | Quick Guide
Apache Hadoop 3.0 Tools, features, benefits and best practices that allows storing large Data in distributed mode and allows for distributed ...
Hadoop - Delta Lake Migration Challenges and its Architecture
Hadoop - Delta Lake migration has been a hot topic nowadays in IT Industry. Why? Is Hadoop no longer in use? Know the details here with us.
Data Mart in Data Warehouse and its Benefits | Complete Guide
Data Mart, a structure or specific pattern to data warehouse environments to retrieve client-facing data. Use ETL process in Data Warehouse.
Data Lake vs Warehouse vs Data Lakehouse | Know the Difference
Know the difference between Data Lake, Data Warehouse and Data Lake house and choose the right solution for your organization. Get most out of your ...
Apache Calcite Architecture and Streaming SQL
Apache Calcite framework for building Streaming SQL with Apache spark and SQL query optimization
Test Data Management (TDM) | Tools and Working Architecture
Test Data Management strategy, tools and working architecture for Software Quality Test Processes to maximize ROI for the highest success and ...
Role of Graph Databases in Big Data Analytics
Graph Databases in Big Data Analytics with its various types and Tools for traditional data warehouse model as a framework for all types of data.
Azure Data Lake Capabilities and Architecture
Guide to Azure Data Lake Analytics Architecture, Types of Storage Formats, Lake Capabilities and Managed Cloud Storage Solutions
Apache Hive Security with Kerberos Authentication | A Quick Guide
Apache Hive security for storage and computing with Kerberos for smooth execution and processing of a large volume of data.
Guide to Modern Batch Processing Advantages and Tools
Modern Batch Processing Benefits, Tools and Best Practices for extraction, enrichment, transport, analysis and loading of data in the form of batches.
Uber Marmaray Features and its Best Practises
Uber Marmaray an open-sourced Hadoop Data Ingestion and Dispersal Framework for ingesting the raw data in a data lake with an appropriate source ...
Apache Hadoop Benefits and Working with GPU
Implementing deep learning on Hadoop with Graphics Processing Unit, Benefits and Best Practices of Adopting Apache Hadoop with GPU
Unified Data Ingestion Solution -Apache Gobblin
Big Data Ingestion Solutions with Apache Gobblin Working Architecture, Advantages, Tools and Implementation Procedure
Best Practices for Hadoop Storage Format
Apache Hadoop Storage Format Best Practices and its benefits in Big Data and Different Types of Data Storage Formats.
Apache Hudi Architecture Tools and Best Practices
What is Apache Hudi and What is the difference between Apache Hudi, Delta Lake, and Apache Iceberg
Data Catalog for Snowflake Benefits and Its Functions
Data catalog for Snowflake provides data warehouse as Software-as-a-Service with its various function, features and Use Cases to locate and manage ...
Database-as-a-Service: Meaning | Characteristics | Advantages
Database as a Service is a cloud computing managed service offering model that enables users to set up, manage and scale Database
Overview of Master Data Management in Manufacturing Industries
Get to know how MDM Manufacturing data management processes have helped and aided the manufacturing sector and transformed it in a whole.
Data Transformation using ETL - A Comprehensive Guide
Explore data transformation using ETL (Extract, Transform, Load) to optimize data management, enhance accuracy, and drive smarter decisions.
Google Protocol Buffer - Serializing Structured Data
Google Protocol buffers serializes structured data. Read Overview | Usage | Performance Benchmarks | Working | Limitation and more.
Guide to M3DB Benefits and its Implementations
M3DB is a distributed time series database released as open source by Uber to handles Big data and obtain incremental results for different Matrics
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Application Release Engineering - Best Practices and Tools
Release Management Process Flow lifecycle, tools and Best Practices to manage the development, testing, deployment, and maintenance of software ...
Agentic Process Automation in Logistics & Supply Chain Management
Agentic Process Automation in Logistics & Supply Chain Management optimizes workflows, improving efficiency and decision-making
The Ultimate Guide to Application Modernization Strategy
Learn effective strategies with The Ultimate Guide to Application Modernization Strategy for successfully upgrading your legacy systems.
DataOps as a Service: Introduction, Services and Benefits
Overview of benefits and Implementing DataOps as a Service in Enterprise to bring streamlined changes in data analytics throughout the life cycle
Guide to Conversational User Interface Best Practices and CUI Tools
CUI tools, frameworks, and their applications are needed for the best customer experience strategy and design to interact with humans or AI bots.
What is Real-Time Intelligence? Complete Guide
Real-time intelligence is the process of delivering business intelligence about business operations as they happen in near-to-zero latency.
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Comprehensive approach combines cost forecasting, resource optimization, and financial accountability
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Unleashing Data Agents Retrieval
Unleashing data agents empowers real-time insights, driving smarter decisions and transforming business operations effectively
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