Diana Hsieh

Jun 18, 2024 | timescale.com | Diana Hsieh

Appropriately ordered SQL indexes can speed up your time-series queries, sometimes by orders of magnitude. As a time-series database built on PostgreSQL, TimescaleDB utilizes the relational model to store time-series data. This means you can store relational data right alongside time-series data, join across tables, and, best of all, use SQL, making it easier to adopt and integrate with other tools. One common question we get from users is how to build the right indexes for time-series data in SQL.

Jan 31, 2024 | blog.logrocket.com | Diana Hsieh

We all engage in intrapersonal communication on a constant basis. Although intrapersonal communication comes naturally to all of us, being mindful and methodical about utilizing interpersonal communication in your personal and professional life can be a powerful technique for building confidence, clarity, and conviction around your life goals. And in turn, this allows you to bring your best self to work as a product manager.

Dec 19, 2023 | timescale.com | Diana Hsieh |Ana Tavares |Jônatas Davi Paganini

Time-series data provides significant value to organizations because it enables them to analyze important real-time and historical metrics. By showing trends over time, time-series data allows for decision-making based on relations between old and new data. Unsurprisingly, time-series analysis is an extensively developed field of data analysis. However, data is valuable only if it’s easy to access.

Aug 8, 2023 | cockroachlabs.com | Diana Hsieh

CockroachDB makes it possible to support a global customer base while remaining compliant with data privacy regulations. Operators interact with a single logical control plane that they can use to define how they want CockroachDB to store their row-level data. Meanwhile, developers continue to interact with our PostgreSQL-compatible API that transparently handles distributing queries across a global cluster.

Aug 8, 2023 | cockroachlabs.com | Diana Hsieh

Almost a year ago, we wrote about our use of Jepsen in testing CockroachDB. As we prepare for CockroachDB 1.0, we wanted to get independent verification of our findings, so last fall we hired Kyle Kingsbury, the author of Jepsen, to review our tests and add more of his own. Last week, Kyle published his results.