Get acquainted with powerful streams API and lambda expressions
Overview The addition of the Stream was one of the major features added to Java 8. This in-depth tutorial is an introduction […]
Application Engineering
29 March 2022
Application Engineering
BigQuery: Querying nested arrays
In a previous blog, we had seen BigQuery facilitate efficient data warehouse schema design. BigQuery supports the nested & repeated columns.
Application Engineering
Swagger Integration In Akka Http Services.
This blog will help you that how Swagger UI can be generated with Akka HTTP. Swagger allows developers to effectively
Intro to Spring Reactor: Part 1
The world is a stage where all of us are artists and Constant learning is the foundation of success.In order
Application Engineering
A sneak peek into Java8 Stream Transformation and Terminal Operations
Stream API was introduced in Java 8. It is used to process the collections of objects. With the help of
Application Engineering
Grafana vs Prometheus
The open-source Prometheus monitoring tool offers a built-in instrument panel functionality. It considers Grafana its monitoring solution. Both the tools allow
Grafana and Metrics for Monitoring
What is Grafana? Grafana is a database analysis and monitoring tool. It allows you to create dashboard visualizations of key
Application Engineering
Docker: Basic understanding and terminology
History: how did it is originated? Solomon Hykes originated from Paris founded the docker as DotCloud in 2008. And initially,
Application Engineering
BigQuery: Efficient Data Warehouse Schema Design
Conventional data warehouses support data models based on star schema and snowflake schema. In these models, there are a number of fact tables
Application Engineering
Implementing Spring Cloud Gateway Filters
Spring Cloud provides a different type of built in filters .So, they are many different type of Spring cloud Gateway
Application Engineering
Akka Actors: Introduction and its Functionality
Here in this blog i am going to explain what is an Akka Actor and how we actually work with
Application Engineering
Introduction to Machine Learning Lifecycle
Building a machine learning model is an iterative process. For a successful deployment, most of the steps are replicated several