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Data Warehouses

BigQuery vs. Redshift: Which One Should You Choose?

Considering BigQuery vs. Redshift for your data warehousing needs? This guide is for you. Both BigQuery and Redshift stand as leading cloud data warehouse solutions each offering a multitude of features catering to multiple use cases. Google’s BigQuery offers seamless scalability and performance within its cloud platform, while Amazon’s Redshift provides great parallel processing and tuning options.

Unpacking the Differences between AWS Redshift and AWS Athena

On top of their industry-leading cloud infrastructure, Amazon Web Services (AWS) offers more than 15 cloud-based analytics services to satisfy a diverse range of business and IT use cases. For AWS customers, understanding the features and benefits of all 15 AWS analytics services can be a daunting task - not to mention determining which analytics service(s) to deploy for a specific use case.

The Benefits of Data Warehousing and Business Intelligence

Making sense of the ever-growing mountains of data is a challenge that organizations of all sizes face today. This article explores the powerful synergy between data warehousing and business intelligence, demonstrating how they work hand-in-hand to transform raw data into actionable insights. We’ll also delve into the role of APIs in facilitating real-time data integration and automation. Here are the key things to know about data warehousing and business intelligence: Table of Contents.

Snowflake vs. Oracle: Which Data Warehouse is Better?

Snowflake and Oracle Autonomous Data Warehouse are two cloud data warehouses that provide you with a Single Source Of Truth (SSOT) for all the data that exists in your organization. You can use either of these warehouses to run data through business intelligence (BI) tools and automate insights for decision-making. But which one should you add to your tech stack?

Unleashing Business Potential: Exploring Oracle Fusion Analytics Warehouse

In the era of data advancement, current organizations are looking forward to innovative ways to utilize the potential of their data. Considering these scenarios, Oracle has developed a powerful tool, Oracle Fusion Analytics Warehouse, which has emerged as a game changer for many organizations looking to uncover their data’s capability in an easy and accessible manner.

10 Tips to Manage Redshift Costs Without Compromising Performance

Effective management of Redshift costs is closely tied to data storage optimization. Choosing the right data types and implementing data compression are pivotal in reducing storage footprints and costs. Redshift’s columnar storage format enhances query performance, which in turn can lead to significant savings. For a more comprehensive approach, integrating tools like Anodot can provide advanced analytics and real-time visibility to further streamline storage efficiency and optimize costs.

How to sync your Google Sheets data into your data warehouse in just a few minutes

I can’t count the number of times I’ve used the phrase: “There’s always a spreadsheet…” When I give a demo of the Keboola platform, I often start with Google Sheets as the data source of choice. The data source connector Google Sheets is one of the most popular components on our platform because, let’s face it, no matter the project, there’s always a spreadsheet involved.