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InfluxData CEO, Evan Kaplan, sits down to talk about AI, how AI has become table stakes for modern software, and the role of time series data as a foundational component for building and training AI models.

InfluxData founder and CTO, Paul Dix, talks with CMO Brian Mullens about using InfluxDB 3.0 to bring real-time analytics to data lake and data warehouse architectures.

Change Data Capture (CDC) is the process of tracking the changes happening in one or more database table in a source system and propagating them to a target technology. The objective of this video is to create a CDC flow from a source table in a MySQL database to Apache Kafka® via the Kafka Connect Debezium Source connector. Check out these resources to learn more.

InfluxData Founder and CTO, Paul Dix, sits down to chat about real-time analytics, the role that time series data plays, and how a time series database complements data lakes and data warehouses for large workloads.

Paul Dix, founder and CTO of InfluxData, discusses how we built support for InfluxQL into the new InfluxDB 3.0, what the advantages of InfluxQL are, and how the broader open source ecosystem makes InfluxQL better.

InfluxData founder and CTO, Paul Dix, and VP of Product Marketing, Balaji Palani, talk about the product options available in InfluxDB 3.0 and what the ideal user for each one looks like, based on their data workloads.

High cardinality data presented a challenge to previous versions of InfluxDB, but InfluxDB 3.0 solved that problem. Influxers Jay Clifford and Zoe Steinkamp explain what cardinality is, why high cardinality impacts performance, and how InfluxDB 3.0 eliminates cardinality limits to open up new time series use cases.

InfluxData CEO, Evan Kaplan, sits down to discuss why we built InfluxDB 3.0, the key problems version 3.0 solves, and the new opportunities and use cases the advanced capabilities of InfluxDB 3.0 present to users.