ClickHouse is a high-performance, columnar database designed for analytics and big data applications. One of ClickHouse's standout features is its ability to perform filtering directly on compressed data, enabling faster results compared to traditional relational databases. While working with ClickHouse, you will often encounter the WHERE and PREWHERE clauses, both of which are used to filter data. But what is the difference between WHERE and PREWHERE, and when should you use one over the other?

In today's data-driven landscape, data analysts rely on powerful database management tools to organize, query, and extract insights from vast datasets. With a multitude of options, choosing the right tool can significantly impact efficiency and performance. Tools like MySQL Workbench, SQL Server Management Studio, and Google BigQuery provide robust platforms for relational data management, while options such as MongoDB Compass cater to unstructured data needs.

Snowflake customers can take advantage of Fivetran’s data movement and data replication capabilities as a native application available in the Snowflake Marketplace.

Bigtable provides the query latency that real-time systems need when using data from BigQuery via the EXPORT DATA to Bigtable (reverse ETL) function.

Replicating databases in regulated environments starts with syncing data sources while ensuring the data never leaves the secure perimeter of the cloud or on-premises network.

N+1 queries are a frequent issue in complex applications built with Elixir and Phoenix. These queries can silently degrade application performance, often going unnoticed until they've compounded into a significant problem. They can substantially increase web page load times, as each additional query adds overhead to a database, consuming more time and resources. That's why it's crucial to detect and resolve N+1 queries to optimize production systems.

A cloud database is a database stored and managed on a cloud computing platform, rather than on local or company-owned servers. his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses.

Single-table design is a powerful approach to modeling data in DynamoDB because it allows you to store all your data in one place. This approach can simplify your data model and reduce the number of tables you need to manage. In the traditional approach, you create a separate table for each entity in your application. For example, you might have a table for characters and a table for quests. Each table would have its own primary key and attributes.

When developers build applications, they need to think about how they will connect their products to data sources. Direct database access vs. REST APIs: which should you pick? Both currently stand out as two of the most popular options. Let’s explore the pros and cons of each so you can determine whether API-led connectivity serves your needs.