Redshift Copy: How to use Redshift's COPY command
In this guide, we’ll go over the Redshift COPY command, how it can be used to import data into your Redshift database, its syntax, and a few troubles you may run into.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
CDP on Azure: Harnessing the Power of Data Flow and Event Processing
Data is being created at an ever increasing rate and generating insights through event streams has become a critical function for businesses. How can we process this data flowing in the enterprise, evaluate, enrich and transform it, all in real time to enable fast analytics to support intelligent decision making? Join us for this session where we will look at how we can use the elastic nature of Azure to scale Data Flows and perform SQL operations in realtime on streaming data from a variety of sources.
Channel global decoupling for region discovery
Ably is a platform for pub/sub messaging. Publishes are done on named channels, and clients subscribed to a given channel have all messages on that channel delivered to them. The Ably pub/sub backend is multi-region: we run the production cluster in 7 AWS regions, and channel pub/sub operates seamlessly between them.
Flutter CI/CD: GitHub Actions vs. Bitrise
In this article, we will talk about continuous integration and continuous delivery for Flutter apps and compare features in GitHub Actions and Bitrise.
AI and ML: No Longer the Stuff of Science Fiction
Artificial Intelligence (AI) has revolutionized how various industries operate in recent years. But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area.
Introducing Continual Integration for dbt
Today we’re pleased to announce Continual Integration for dbt. We believe this is a radical simplification of the machine learning (ML) process for users of dbt and presents a well-defined path that bridges the gap between data analytics and data science. Read on to learn more about this integration and how you can get started.
Getting Started with CI/CD and Continual
While CI/CD is synonymous with modern software development best practices, today’s machine learning (ML) practitioners still lack similar tools and workflows for operating the ML development lifecycle on a level on par with software engineers. For background, follow a brief history of transformational CI/CD concepts and how they’re missing from today’s ML development lifecycle.
Where's the CI/CD in ML?
It’s easy to take continuous integration (CI) and continuous delivery/deployment (CD) for granted these days, but these have been transformational concepts that have drastically changed the face of software development over the past thirty years.
What Is Snowflake?
As a company’s data assets grow, the need for cloud computing increases in tandem. For keeping pace with this growth, Snowflake stands above the rest. What makes Snowflake so special? This cloud-agnostic platform takes the best of traditional database technology and combines it with modern cloud computing to drive the agility and innovation companies need to remain competitive. It features on-the-fly scaling, flexible clustering options, and the capability to hold several petabytes of information.