Systems | Development | Analytics | API | Testing

%term

Measuring and minimizing latency in a Kafka Sink Connector

Kafka is often chosen as a solution for realtime data streaming because it is highly scalable, fault-tolerant, and can operate with low latency even under high load. This has made it popular for companies in the fan engagement space, and where transactional data is used (e.g. betting) as low latency ensures that actions and responses happen quickly, maintaining the fluidity and immediacy of the experience.

Understanding API Endpoint: A Beginner's Guide

An API endpoint, often referred to as an endpoint URL, is a specific URL that allows access to a particular resource on a server, facilitating communication between different systems. It’s crucial for developers as it enables them to integrate and utilize functionalities from other systems, like payment gateways or social media platforms, streamlining their development process.

Introduction to WSO2 Identity Server 7.0 | an Overview

Welcome to the Introduction to WSO2 Identity Server 7! In this video, we'll guide you through the essential features and functionalities of WSO2 Identity Server, an open-source identity and access management (IAM) solution designed to help enterprises manage their digital identities securely and efficiently. Join us as we explore application integration, authentication options, user management, API authorization, and the powerful B2B capabilities offered by Identity Server 7.

How Speedscale's Traffic Viewer Complements Your Production Monitoring System

Speedscale's Traffic Viewer is the perfect complement to your production monitoring or observability system because it provides detailed information (like request and response payloads, headers, cookies, and more) that actually helps developers debug any issues and requires zero developer intervention--all of the data is provided from traffic.

Introducing Qlik Talend Cloud - Data products - SaaS in 60

Data products are highly trusted, reusable, and consumable data assets. They’re curated collections of high-quality datasets and business-approved metadata, designed to solve domain-specific business outcomes. They foster effective communication and accountability. Our Quality and Profiling Overview provides detailed quality metrics at both the data product and dataset levels.

Demo Of The Snowflake Connector For MySQL And PostgreSQL

The Snowflake Connector for MySQL and PostgreSQL provides instant access to your data within Snowflake, making it easy to correlate your data with data from other sources, ultimately driving new insights into business operations. The Connector also leverages Snowflake’s built-in security and reliability capabilities and provides IT departments with significant cost and speed advantages. During this demo, you will see how you can set-up, configure, and utilize the Connector with a few clicks via Snowflake Marketplace.

How is the Scope of Wellness Industry in Future lookalike?

The most apparent shift that the 21st century has witnessed is the perception of the health and wellness industry. In the not-so-distant past, staying fit and living a wellness-focused lifestyle often meant relying on those old workout tapes or fitness DVDs. Well, been there, done that! However, as we fast forward to today, look at how the wellness industry has changed! We've witnessed a digital transformation in a way that is sure to make an impact on the scope of wellness industry in future and beyond.

3 Ways Analyst Relations Professionals Can Leverage AI

How to leverage artificial intelligence to enhance the value and impact of analyst relations. Analyst relations (AR) is a strategic function that aims to build and maintain positive relationships with industry analysts, influencers, and experts who provide insights, guidance, and recommendations to technology buyers and vendors.

Business Intelligence vs. Data Analytics: Key Differences

Both business intelligence (BI) and data analytics help businesses make the most of their data through insights. While the two terms are related, they’re not the same and cannot be used interchangeably. The biggest difference is that business intelligence requires data analytics to generate results, but data analytics works well even independently of business data. Let’s do an in-depth comparison of the two and see if the business intelligence vs. data analytics debate is justified.