For data professionals interested in data modeling, artificial intelligence, and machine learning, Databricks offers a powerful cloud data platform. The Databricks Lakehouse combines data lake and data warehouse capabilities in one architecture. This makes Databricks particularly suitable for building sophisticated data analytics, Artificial Intelligence (AI), and Machine Learning (ML) models. Plus, Databricks claims its lakehouse is up to 12X cheaper than traditional alternatives.

At some point if you’re working with data, you’ll probably want to be able to visualize it with different types of charts and organize those charts with dashboards. You’ll also need somewhere to store that data so it can be queried efficiently. One of the most popular combinations for storing and visualizing time series data is Grafana and InfluxDB.

I recently chatted with one of our InfluxDB Cloud customers, Rune Labs, to discuss how they’re using this purpose-built time series platform. Every customer has a unique story — I love sharing their stories as well as their Telegraf, InfluxDB, and Flux tips and tricks. Keep reading to learn about Rune Labs’ approach to precision neurology, and learn from Engineering Manager Carolyn Ranti how they are using InfluxDB to collect sensor data.

Are your Apache Impala queries running slow and not achieving peak performance? Given Impala’s complexity, troubleshooting can be very difficult. Optimizing query performance is near impossible without the right tools. Good news: Pepperdata Query Spotlight now supports Apache Impala.

With the release of InfluxDB’s new storage engine for InfluxDB Cloud, InfluxDB Cloud now supports SQL. This is because the updated InfluxDB uses the Apache Arrow DataFusion project as a key building block for its query execution engine. DataFusion’s sophisticated query optimizations support near unlimited cardinality data in InfluxDB Cloud.

Join David Esposito, Recovering Over-Engineer-er, in exploring streaming solutions – and how The Way of the Software Architect is key to tackling them.

Continuing in our series of InfluxDays recaps, we turn our attention to Brian Gilmore’s presentation on Industrial IoT. This is an area that uses time series data extensively and has a lot of room to expand the way it uses this data. Here’s a quick breakdown of where things stand today.

Read on to find out about DevRelCon Prague and how Developer Relations done right can help your company, especially during the downturn.