Sat.Jan 12, 2019 - Fri.Jan 18, 2019

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TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65

Data Engineering Podcast

Summary The past year has been an active one for the timeseries market. New products have been launched, more businesses have moved to streaming analytics, and the team at Timescale has been keeping busy. In this episode the TimescaleDB CEO Ajay Kulkarni and CTO Michael Freedman stop by to talk about their 1.0 release, how the use cases for timeseries data have proliferated, and how they are continuing to simplify the task of processing your time oriented events.

Database 100
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Aarhus Engineering Internship: Building Aggregation Support for YQL, Uber’s Graph Query Language for Grail

Uber Engineering

Lau Skorstengaard is a Ph.D. student at Aarhus University who pursued a 2018 internship with Uber Engineering’s Aarhus, Denmark office. In this article, Lau discusses his path to Uber and the technical challenges faced while building his internship project as … The post Aarhus Engineering Internship: Building Aggregation Support for YQL, Uber’s Graph Query Language for Grail appeared first on Uber Engineering Blog.

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Quality Conversations

Pandora Engineering

Photo credit: Stewart Sutton | DigitalVision via Getty Images You’re in a maze of twisty little passages, all alike The state of the art in online computer gaming circa 1976 was a game called Adventure , which consisted of typing short instructions into a computer terminal and getting terse responses, which you had to interpret to complete a vaguely-defined mission.

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What Happened to Big Data?

Teradata

The definition of insanity is doing the same thing over and over and expecting different results.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Real-Time Analytics Using SQL on Streaming Data with Apache Kafka and Rockset

Rockset

This post offers a how-to guide to real-time analytics using SQL on streaming data with Apache Kafka and Rockset, using the Rockset Kafka Connector , a Kafka Connect Sink. Kafka is commonly used by many organizations to handle their real-time data streams. We will show how Rockset integrates with Kafka to ingest and index our fast-moving event data, enabling us to build operational apps and live dashboards on top of Rockset.

Kafka 40