Data Democratization Benefits and Best Practices for Enterprises
Introduction to Data Democratization As organizations grow and evolve, they generate vast amounts of data daily. This data is an asset that can be leveraged to make informed decisions, improve…
Enterprise Metadata Management Challenges and its Best Practices
Introduction to Enterprise Metadata Management Metadata helps your organization understand its data assets in today's data-driven world. And, as noted by top analysts, the more valuable the item, the more…
Quick Guide to Amazon Redshift and Amazon QuickSight
Introduction to Aws Data Warehouse Services In order to swiftly build an end-to-end analytics and data warehousing solution, AWS offers a wide range of managed services that easily interface with…
Real Time Streaming Application with Apache Spark
What is Apache Spark? Apache Spark is a fast, in-memory data processing engine with expressive development APIs to allow data workers to execute streaming conveniently. With Spark running on Apache…
Big Data Discovery using Blockchain and its Use Cases
Introduction Big Data Discovery is the logical combination of Big Data, Data Discovery, and Data Science. Each of these areas is in explosive growth. Big Data Discovery is a Hadoop-native end-to-end…
Data Ingestion Tools and its Architecture: The Advanced Guide
Introduction to Data Ingestion Data Ingestion is a part of the Big Data Architectural Layer in which components are decoupled so that analytics capabilities may begin. It is all about…
Internet of Things Testing vs Big Data Testing: Ultimate Guide
What is IoT Testing? In the product development life cycle, it assumes to be an urgent part. As a necessary piece of quality assurance (QA) administration, it guarantees that the…
Architecture of Data Processing in IoT for Smart Cities
Introduction to Data Processing in IoT With the enormous rise in urbanization, big cities have been drivers for economic growth and a magnet for talent. As urbanization is growing day…
