Tired of manually correcting broken data ingestion pipelines? We’ve got 10 tools that can help you save data engineering hours and automate data ingestion end-to-end. Of course, since you’ve landed on the Keboola blog, it's no surprise that we've got Keboola on the list. We’re playing favorites, but hear us out: Keboola is the only tool we know inside out and can vouch for it without a doubt.

BigQuery Studio lets analytics practitioners use SQL, Python, Spark or natural language directly within BigQuery, to streamline analytics workflows.

By integrating Vertex AI foundation models in BigQuery, you can analyze unstructured data from right inside BigQuery.

Advanced marketing analytics help you simplify multitouch attribution, create tailored marketing campaigns, and maximize return on investment (ROI) across channels. It helps you seek patterns and insights to improve marketing performance. These days, you can’t do online marketing without advanced analytics. Moreover, you need the right tools and skills to make sense of data scattered across multiple apps.

Data warehouses and data lakes represent two of the leading solutions for enterprise data management in 2023. While data warehouses and data lakes may share some overlapping features and use cases, there are fundamental differences in the data management philosophies, design characteristics, and ideal use conditions for each of these technologies.

Ever had your live app crash after a new update, forcing you to spend your weekends fixing it? Let us guess, an enthusiastic developer introduced a change without testing it thoroughly. But it’s not just app development that can go rogue. Whether it's last-minute changes to client reports, tweaks to your marketing campaign, or any other update in a live setting, unexpected problems can crop up.

Kafka Connect is an open source data integration tool that simplifies the process of streaming data between Apache Kafka® and other systems. Kafka Connect has two types of connectors: source connectors and sink connectors. Source connectors allow you to read data from various sources and write it to Kafka topics. Sink connectors send data from the topics to another endpoint.

Data integration and migration can be quite overwhelming and complex. It's easy to underestimate the complexities of managing data between different sources and destinations. However, diving into it without thorough planning and the right ETL (Extract, Transform, Load) setup could impact your business goals and deadlines, or even exceed your budget.

Introducing Confluent Platform version 7.5, which offers a range of new features to enhance security, improve developer efficacy, and strengthen disaster recovery capabilities. Building on the innovative feature set delivered in previous releases, Confluent Platform 7.5 makes enhancements to three categories of features: The following explores each of these enhancements and dives deep into the major feature updates and benefits.