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Category: How To

Snowflake CDC: Publishing Data Using Amazon S3 and YugabyteDB

Snowflake CDC: Publishing Data Using Amazon S3 and YugabyteDB

In this blog, we explore how to stream data from YugabyteDB’s Change Data Capture (CDC) feature to Snowflake through Amazon S3

We’ll use YugabyteDB’s CDC SDK server, an open source project that provides a streaming platform for CDC. We’ll also use Snowpipe to automate data loading to files as soon as they are available in a S3 bucket.

Before you begin

Before getting started,

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How to Run Debezium Server with Kafka as a Sink

How to Run Debezium Server with Kafka as a Sink

Change data capture (CDC) captures changes made to data in a database and streams those changes to external processes, applications or other databases. In other words, the CDC process identifies whenever there are changes in a database or a table and records those changes to be processed by other downstream applications.

Debezium Server provides a ready-to-use application that streams change events from a source database to messaging infrastructure like Amazon Kinesis or Google Cloud.

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Using GORM with YugabyteDB

Using GORM with YugabyteDB

GORM is an Object Relational Mapping (ORM) library for Golang. ORM converts data between incompatible type systems using object-oriented programming languages. An ORM library is a library that implements this technique and provides an object-oriented layer between relational databases and object-oriented programming languages.

In this blog post, we’ll show you how to:

  • Start a YugabyteDB cluster on your local Engine.
  • Download GORM and configure the sample project.
  • Create a simple Go application to run GORM with YugabyteDB.

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Retail Application Migration: Lessons Learned Moving from On-Prem to Cloud Native

Retail Application Migration: Lessons Learned Moving from On-Prem to Cloud Native

Recently, I came across a sample e-commerce application that demonstrates how to use Next.js, GraphQL engine, PostgreSQL, and a few other frameworks to build a modern web application. The application supports basic e-commerce capabilities such as product inventory and order management, recommendation system, and checkout function. This made me curious as to how much effort it would take to complete a retail application migration from an on-premise to cloud native solution. So I decided to try.

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Using Ebean ORM with YugabyteDB

Using Ebean ORM with YugabyteDB

Ebean is a Java-based Object–Relational Mapping (ORM) application. It is more user-friendly and understandable than traditional ORM tools, such as Hibernate. It achieves this by employing a session-less design that eliminates the concepts of detached/attached beans as well as the difficulties related with flushing/clearing.

Even better, Ebean supports YugabyteDB, a 100% open source, distributed SQL database built to accelerate cloud native agility, lower costs, and reduce risks without vendor lock-in.

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Automation Workflows: Using GitOps for YugabyteDB with Argo CD and Helm

Automation Workflows: Using GitOps for YugabyteDB with Argo CD and Helm

GitOps is an operational framework for declarative-driven systems such as Kubernetes. More specifically, it provides a set of best practices that converge the runtime state of the services with the declarative state defined in Git. On the other hand, Argo CD is a declarative, continuous delivery tool for Kubernetes. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state. Both tools can be used for automation workflows.

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Distributed SQL Tips and Tricks – November 2nd, 2021

Distributed SQL Tips and Tricks – November 2nd, 2021

Welcome back to our tips and tricks blog! With October officially a wrap, I have the pleasure of recapping some distributed SQL questions from around the Internet. There was no Tips and Tricks edition for September as the Yugabyte team was focused on our 2021 Distributed SQL Summit. If you did not have a chance to check it out, you can view the sessions on-demand here.

As always, this blog series would not be possible without all of the behind the scenes and community work done by YugabyteDB members such as Dorian Hoxha,

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