Google BigQuery, as part of the Google Cloud Platform (GCP), has become a cornerstone for companies keen on delving deep into their data. This guide aims to highlight the multifaceted capabilities of Google BigQuery, making it accessible and understandable for businesses at any scale.

If your application needs persistent data, you are going to need a database. Easier said than done because managing a database can be a challenge. Not only do you need to set up, maintain, scale, and patch databases, but also you need to create strong backup policies, ensure sharding and replications. Long story short, managing a database is time-consuming and requires a dedicated and skilled team, which is why people opt for managed databases, sometimes referred to as DBaaS or Database as a Service.

Today, we're making global deployment more accessible than ever with our new Eco Instance types, starting at $1.61 per month ($0.0000006 per second). We're also increasing the resources of the Free Instance type, giving you more to work with at no cost.

At Integrate.io, we work with companies that build data pipelines. Some start cloud-native on platforms like Amazon Redshift, while others migrate from on-premise or hybrid solutions. What they all have in common is the one question they ask us at the very beginning: And so that’s why we decided to compile and publish a list of publicly available blog posts about how companies build their data pipelines.

With its simplicity, flexibility, and cost-efficient characteristics, Amazon Simple Storage Service (Amazon S3) cloud object storage has become the preferred platform for collecting, analyzing, and retaining today’s growing mountain of diverse and disjointed enterprise data. And as Amazon Web Services (AWS) continues to grab market share in the hyperscale IaaS/PaaS/SaaS marketplace, organizations of every size are leveraging Amazon S3 to underpin a variety of use cases, such as.

We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas. Here are highlights from the collaborations, integrations and product enhancements that we were proud to dig in to throughout the week.

Amazon Simple Storage Service (Amazon S3) is a cloud-based object storage service from Amazon Web Services that collects data from anywhere on the internet. In today's data-driven world, businesses rely heavily on seamless data integration and transformation processes to unlock the full potential of their vast data resources. But what happens if you want to move data from Amazon S3 to a data warehouse for analysis?

Amazon S3 is a standout storage service known for its ease of use, power, and affordability. When combined with Apache Kafka, a popular streaming platform, it can significantly reduce costs and enhance service levels. In this post, we’ll explore various ways S3 is put to work in streaming data platforms.