A 101 in time series analytics with Apache Arrow, Pandas and Parquet By zoe steinkamp

議題

A 101 in time series analytics with Apache Arrow, Pandas and Parquet

RB105 [[ new Date( '2024-08-03 02:00:00+00:00' ).toLocaleDateString('ja', {year: 'numeric', month: '2-digit', day: '2-digit'}) ]] [[ new Date( '2024-08-03 02:00:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] ~ [[ new Date( '2024-08-03 02:30:00+00:00' ).toLocaleTimeString('zh-Hant', {hour12: false, hour: '2-digit', minute:'2-digit'}) ]] 英文 English

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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 industry-standard analytics libraries to build the foundations of a performant analytics application for time series data.

講者

zoe steinkamp

I'm Zoe Steinkamp, a Developer Advocate for InfluxData with a background in front-end software engineering. I'm passionate about making developers' lives easier and helping them engage with InfluxData's database platform, open-source tools, and time-series data solutions. I also have a keen interest in data science. Outside of work, I enjoy traveling and gardening. Feel free to connect with me on LinkedIn, and I look forward to sharing insights and knowledge at virtual and in-person events.

Main Track 主議程軌 WDWJBB general (30mins)