Systems | Development | Analytics | API | Testing

How to Set Up Amazon Redshift on AWS

In a digitally powered economy, having access to data can help companies navigate market changes, perform customer analytics and adjust their strategy to meet demand. Unfortunately, most of the data company’s generate are unstructured and siloed across various departments in the organization. According to Forbes, 95 percent of businesses cite the need to manage unstructured data as a problem for their business.

Preventing Customer Churn with Continual, Snowflake, and dbt

In this article, we’ll take a deep dive into the customer churn/retention use case. This should contain everything needed to get started on the use case, and enterprising readers can also try this out for themselves in a free trial of Continual, following the customer churn example in the linked github repository.

Unleashing the power of Java UDFs with Snowflake

As part of the Snowpark developer experience, customers can execute Java user-defined functions (UDFs) packaged in a JVM right inside Snowflake’s powerful processing engine for better performance, scalability, and concurrency. These Java UDFs can be used for data preparation and enrichment pipelines, implementing custom business logic, and even to run machine learning model inference. In this session, Felipe Hoffa demonstrates how simple it is to get started with Java UDFs for your use case.

Steps to Install Kafka on Ubuntu 20.04: 8 Easy Steps

Apache Kafka is a distributed message broker designed to handle large volumes of real-time data efficiently. Unlike traditional brokers like ActiveMQ and RabbitMQ, Kafka runs as a cluster of one or more servers which makes it highly scalable and due to this distributed nature it has inbuilt fault-tolerance while delivering higher throughput when compared to its counterparts. This article will walk you through the steps to install Kafka on Ubuntu 20.04 using simple 8 steps.

Control Issues: Overcoming Departmental Territorialism to Increase Data Sharing

Here’s a scenario that might feel painfully familiar. Your marketing department captures customer leads, and passes them to the sales department. Marketing’s success is measured in part on the number and size of deals that result. But a squabble breaks out over how the sales department handles, nurtures, and attributes those conversions. Result: Neither department really wants to share their data.

11 Redshift Tips for Startups

There has never been a better time to start a startup, thanks to all of the advancements in communications and data management technology. Data engineering and utilization are at the core of every new startup that plans on disrupting and dominating its markets. Fortunately, Amazon Redshift can make the data management aspects of running a business much easier. Here are 11 Amazon Redshift tips for startups.

SaaS Pricing Model Considerations when Powered by Snowflake

As software companies gain more users or re-platform from traditional platforms to the cloud, they typically need to evolve the pricing models to provide value to the different customer segments and keep their competitive advantage. In today's video, you'll learn about the value of different SaaS pricing models and the advantages of enhancing your SaaS model with a consumption-based revenue stream. From user-based to usage-based pricing, learn how Snowflake’s platform can facilitate a consumption-based model.