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.
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.
The big data landscape is always changing to solve existing problems and continues to push the boundaries of performance and scale. Data lakehouses are a new architectural pattern that is rapidly gaining popularity by solving a variety of problems seen with previous solutions like data warehouses and data lakes. In this article, you will learn the following.
From the floor of AWS re:Invent 2023, Influxers Jay Clifford and Zoe Steinkamp discuss why time series databases exist, the unique nature of time series workloads, and why you should use a purpose-built database for time series data.
From the floor of AWS re:Invent 2023, Influxer Jay Clifford provides a crash course in OpenTelemetry, tracing, and InfluxDB. Discover how you can use these technologies to get more insight from your time series data.