Systems | Development | Analytics | API | Testing

Is Windows your favorite development environment? Do you want to run Apache Kafka® on Windows? Thanks to the Windows Subsystem for Linux 2 (WSL 2), now you can, and with fewer tears than in the past. Windows still isn’t the recommended platform for running Kafka with production workloads, but for trying out Kafka, it works just fine. Let’s take a look at how it’s done.

API calls are requests made by one software application to another. There are various types of API calls. Different protocols and interfaces are available to designers who want applications to ‘talk’ to each other. In this guide, learn about the different types of API calls and how DreamFactory can improve API management in your organization. Here’s the key things to know about the different types of API Calls: Table of Contents.

At Cloudera, we’re known for making innovative technological solutions that drive change and impact the world. Our mission is to make data and analytics easy and accessible to everyone. And that doesn’t end with our customer base. We also aim to provide equitable access to career opportunities within data and analytics to the workforce of tomorrow.

While JSON-based APIs are ubiquitous in the API-centric world of today, many industries adapted internet-based protocols for automated information exchange way before REST and JSON became popular. One attempt to establish a standardized protocol suite for automated data interchange within and between enterprises was SOAP, originally an acronym for Simple Object Access Protocol.

Learn the crucial role of data governance and security in database replication.

Cigniti is a global digital assurance and engineering company that manages and implements enterprise digital transformation projects. One of its premier clients, a large cruise line headquartered in Florida, rolled out a fleet of the three most modern ships in the world. The cruise line commissioned Cigniti to develop web, mobile, and tablet automation supporting the back office, onboard staff, and customers.

According to research from Matillon and IDG, data volumes increase by 63 percent per month on average in an organization. Examining such substantial volumes of data without the right tools makes it impossible to make informed decisions, even in small businesses. The key to deriving useful and profit-driving insights from data is data visualization - which turns complex raw figures into meaningful visual representations of the data. Google Charts is a free data visualization library provided by Google.

Google BigQuery is a robust and scalable cloud-based data warehouse that allows storing and analyzing vast amounts of data. BigQuery is a natural choice if your data already exists on the Google Cloud Platform (GCP). But before you leverage the platform, you need to extract the source data, carry out transformations, and load the data into your data lake or warehouse. This is where the ETL process and the ETL tools play a significant role.