Operations | Monitoring | ITSM | DevOps | Cloud

Powering AI Innovation with Splunk: Meet the Cisco Data Fabric

If you are leading technology innovation in your organization, you know the relentless surge of machine data is rewriting the rules of the digital enterprise. The upside? Incredible opportunities for AI-driven transformation. The challenge? Unprecedented complexity. Today’s leaders are under enormous pressure to unify, analyze, and act on a deluge of data streams across multiple environments.

AWS Athena, How It Works, And Why It Matters

Amazon Athena is heralded for its simplicity, pay-per-query pricing, and speed. Others say Athena has its fair share of limitations, which could affect your overall analytics experience and quality of analyses. So, what is what? In this post, we’ll share what AWS Athena does, compare it to Amazon Redshift, and share how to understand and control your Athena costs in AWS (with just one tool).

Understanding dbt: basics and best practices

Data Build Tool (dbt) is an open source analytics engineering framework that enables teams to transform raw data that has been loaded into a warehouse like Snowflake, BigQuery, Redshift, or Databricks using SQL-based workflows. dbt is available in two main forms: dbt Core, the free and open source CLI tool, and dbt Cloud, a managed platform that adds scheduling, UI support, collaboration tools, and native integrations.

Getting Started with Iceberg Topics for Apache Kafka: A Beginner's Guide

Understand how Kafka integrates with Apache Iceberg and experiment locally with Docker and Spark The streaming data landscape is evolving rapidly, and one of the most exciting developments is the integration between Apache Kafka and Apache Iceberg. While Kafka excels at real-time data streaming, organizations often struggle with the complexity of moving streaming data into analytical systems.

Implement an enterprise-ready data lakehouse architecture with Spark and Kyuubi

Here at Canonical we are excited to announce that we have shipped the first release of our solution for enterprise-ready data lakehouses, built on the combination of Apache Spark and Apache Kyuubi. Using our Charmed Apache Kyuubi in integration with Spark, you can deliver a robust, production-level, and open source data lakehouse. Our Apache Kyuubi charm integrates tightly as part of the Charmed Apache Spark bundle, providing a single and simpler-to-use SQL interface to big data analytics enthusiasts.