Systems | Development | Analytics | API | Testing

June 2023

CDP Private Cloud | Cloud-native analytics on-premises

In this demo, you'll learn how CDP Private Cloud, Cloudera's on-premises private open data lakehouse leverages Kubernetes technology to deliver cloud-native data storage, processing, and analytics capabilities in and air-gapped environment. We also delve into example modern data use cases that can run on CDP Private Cloud today, including large language models for training in-context enterprise AI, running an air-gapped data lakehouse with Apache Iceberg, and all your data can be underpinned by Apache Ozone for object storage akin to cloud storage.

Snowflake Native App Framework Now Available to Developers in AWS

At Snowflake Summit 2022, we introduced a new way of building apps with the Snowflake Native App Framework. Today, we are excited to bring the power of the Snowflake Native App Framework to developers around the world with the public preview in AWS. Developers can now start building and testing Snowflake Native Apps in their accounts in AWS. Distribution and monetization capabilities will be available in public preview on AWS later this year.

How to get the most out of your dbt Cloud instance

You may already be familiar with dbt, but just to be sure we're on the same page, let's revisit the concepts. The Data Build Tool (dbt) is a widely used framework provided by dbt Labs, specifically designed to bridge the gap between data analysts, data engineers, and software engineers, resulting in the creation of a new role in data and analytics: the analytics engineer.

Get Gravitas and Go Amazonian: Kong Validated for AWS Graviton3, Amazon Linux 2023 OS

Today, we’re thrilled to announce that Kong Enterprise and Kong Konnect Data Planes are now validated to run on AWS Graviton3 processors and Amazon Linux 2023 OS. As an APN Advanced Tier Partner of AWS, we were delighted to have the opportunity to benchmark Kong Enterprise running on AL2023 and Graviton3.

Logistics giant optimizes cloud data costs up front at speed & scale

One of the world’s largest logistics companies leverages automation and AI to empower every individual data engineer with self-service capability to optimize their jobs for performance and cost. The company was able to cut its cloud data costs by 70% in six months—and keep them down with automated 360° cost visibility, prescriptive guidance, and guardrails for its 3,000 data engineers across the globe.

End-to-end gRPC and HTTP/2 support: a story about ALPN, Edge, and Kuma/Envoy

Need to deploy APIs and full-stack apps with gRPC and HTTP/2 support? Sign up now to deploy with our free tier and choose your preferred protocol in the control panel or via the CLI. Our thing is to let you deploy your apps globally in less than 5 minutes - and with high-end performance. Not only does this require us to be meticulous about everything composing our infrastructure layer, but also we have to support high-level protocols like WebSockets, HTTP/2, and gRPC.

Why Cloud Operations Would Benefit From a "On-Premise" Approach to Cost Management

Moving operations to the cloud has obvious benefits, but without discipline costs can quickly spiral out of control. In this clip, Raja Musunuru of TIFIN reiterates the importance of understanding usage and the ability to scale. Get even more insights from data and analytics leaders like Raja on The Data Chief.

Increasing the Value of Cloud Data: Qlik Cloud Data Integration Transformation Services

Data fragmentation and the growing volume of data sources and types are putting increased focus and importance on an organization’s ability to continuously organize, transform and cost effectively deliver real-time data to its entire organization through the cloud.

Keep up with Oracle cloud updates with timely test automation

Oracle Cloud’s quarterly updates require day-one testing on staging environments to keep up with the update’s general availability, which is critical to your business’ success. Tricentis Tosca provides fast, resilient, and risk-based testing to ensure your critical end-to-end business processes will continue to work as expected after Oracle Cloud updates go live.

Comparing AWS RDS ETL Tools

Amazon's Relational Database Service (AWS RDS) is a web-based service launched by Amazon Web Services (AWS) that unifies the setup, operation, and scaling of relational databases in the cloud. By using a dependable and feature-rich ETL (Extract, Transform, Load) tool, you can simplify the process of retrieving, transforming, and sending data from the various systems you already use, like AWS RDS.

Deliver Data-Driven Decision-Making with the New Government & Education Data Cloud

Today’s governmental and educational organizations can’t fully use the wealth of data they possess to improve citizen and student outcomes. Government agencies often deal with disparate and siloed data that can impact real-time decision-making. Securely exchanging information and collaborating on data remains an essential task in almost every agency strategy.

What is a microVM?

A microVM is a lightweight virtual machine. Any function or container workload can run inside of one. It is ideal for running multiple high-performance and secure workloads concurrently on a single machine because it combines the security and isolation of traditional VMs with the resource efficiency of containers. In this blog post, we dive into the world of microVMs, specifically Firecracker microVMs.

10 AWS Data Lake Best Practices

A data lake is the perfect solution for storing and accessing your data, and enabling data analytics at scale - but do you know how to make the most of your AWS data lake? In this week’s blog post, we’re offering 10 data lake best practices that can help you optimize your AWS S3 data lake set-up and data management workflows, decrease time-to-insights, reduce costs, and get the most value from your AWS data lake deployment.

Cloud Data Warehouse: A Comprehensive Guide

With the advent of modern-day cloud infrastructure, many business-critical applications like databases, ERPs, and Marketing applications have all moved to the cloud. With this, most of the business-critical data now resides in the cloud. Now that all the business data resides on the cloud, companies need a data warehouse that can seamlessly store the data from all the different cloud-based applications. This is where Cloud Data Warehouse comes into the picture.