Tim Berglund
where else to find them
website:http://youtube.com/tlberglund
github:tlberglund
bluesky:tlberglund.bsky.social
linkedin:tlberglund
speakerdeck:tlberglund
instagram:timlberglund
devto:tlberglund
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 7 in the filters
on a stage with
- Dean Wampleronce
- Jerry Pengonce
- Mary Grygleskionce
all 5 in the filters
who talks about the same things
- F. Teychene3 talks
- Karin Wolok13 talks
- Mark Needham7 talks
- Olena Kutsenko31 talks
- Yoav Nordmann4 talks
- Frank Munz8 talks
| title | conference | date |
|---|---|---|
| A Brief History of Data | Devoxx Belgium 2024 | 2024-10-07 |
Claims a continuous lineage from 1800s demographic statistics and Babbage/Lovelace’s automatic computation to punched‑card tabulators that finish the 1890 US… | ||
| How Do You Query a Stream? | Great International Developer Summit 2024 | 2024-04-23 |
Kafka topics become queryable in four different ways with clear tradeoffs: Kafka Connect → Postgres copies events into a relational DB for familiar key lookups… | ||
| Making Kafka Queryable with Apache Pinot | Great International Developer Summit 2024 | 2024-04-23 |
Explains how Apache Pinot turns Kafka topics into a low-latency, SQL-queryable analytics store by ingesting Kafka directly into consuming segments on server… | ||
| Pinot, Why Are You So Fast? | Scale By the Bay 2023 | 2023-11-13 |
Apache Pinot claims ingest >1M events/sec directly from Kafka and serves interactive UI queries in single to tens of milliseconds by coupling columnar segments… | ||
| PANEL - Streaming. | Scale By the Bay 2023 | 2023-11-13 |
Panel surveys production streaming: why it matters, how teams trade latency, cost and correctness, and which tools actually ship. Examples include using a… | ||
| Introduction to Real-Time Analytics with Apache Pinot | GOTO Chicago 2023 | 2023-05-22 |
Apache Pinot is a real‑time, distributed analytics DB that sits on Kafka and serves user‑facing features (LinkedIn feed, Uber Eats) by ingesting events into… | ||
| Building a Real-Time Analytics Database | GOTO Chicago 2023 | 2023-05-22 |
A practical recipe for a user-facing analytics DB: choose tuples (tables) stored columnar storage, ingest streams from Kafka, expose SQL, and implement… | ||
| An Introduction to Apache Pinot | Devnexus 2022 | 2022-04-12 |
Apache Pinot is a real-time analytics DB that cuts per-query cost by orders of magnitude and targets user-facing OLAP needs rather than batch warehouses. It… | ||
| Migrating applications to serverless Apache Kafka + KSQL | AWS re:Invent 2019 | 2019-12-02 |
Shows moving on-prem Kafka to Confluent Cloud by extracting MySQL movie rows with Debezium into a movies topic, replicating topics with Confluent Replicator… | ||
| Git From the Bits Up | Jfokus 2016 | 2016-02-08 |
Demonstrates how to build a Git commit by hand using commands like hash-object and update-index to create a blob, then write-tree and commit-tree, and finally… | ||
| Spark Analytics on Cassandra Data | Jfokus 2016 | 2016-02-08 |
Explains why Cassandra’s layout — partition key for node placement and ordered clustering column inside partitions — favors fast single-row and recent-N… | ||
| nothing matches | ||