A 101 in time series analytics with Apache Arrow, Pandas and Parquet
Columnar databases are on the rise! They provide an efficient and scalable data warehouse for many use cases including time series data. The problem? many conventional database drivers and querying methods become the bottleneck for data processing and analytics within our client-side applications. Learn how to leverage open-source projects like Apache Arrow Flight and Apache Parquet alongside InfluxDB and industry-standard analytics libraries to build the foundations of a performant analytics application for time series data.