data-analytics-data-platforms-episode-95 
Data Engineering Podcast
NOVEMBER 6, 2022
Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models.
Data Engineering Podcast
AUGUST 21, 2022
Summary Data has permeated every aspect of our lives and the products that we interact with. As a result, end users and customers have come to expect interactions and updates with services and analytics to be fast and up to date. Data stacks are becoming more and more complex. Sifflet also offers a 2-week free trial.
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Data Engineering Podcast
JANUARY 6, 2019
Summary The Hadoop platform is purpose built for processing large, slow moving data in long-running batch jobs. As the ecosystem around it has grown, so has the need for fast data analytics on fast moving data. _;_init__ Episode Pandas Podcast.__init__
Data Engineering Podcast
JULY 10, 2022
Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.
Data Engineering Podcast
OCTOBER 30, 2022
Summary One of the most impactful technologies for data analytics in recent years has been dbt. It’s hard to have a conversation about data engineering or analysis without mentioning it. Despite its widespread adoption there are still rough edges in its workflow that cause friction for data analysts.
Data Engineering Podcast
SEPTEMBER 18, 2022
In this episode Tommy Yionoulis shares his experiences working in the service and hospitality industries and how that led him to found OpsAnalitica, a platform for collecting and analyzing metrics on multi location businesses and their operational practices. Data teams are increasingly under pressure to deliver.
Data Engineering Podcast
MAY 10, 2021
Summary Building an API for real-time data is a challenging project. The team at Tinybird wants to make it easy to turn a continuous stream of data into a production ready API or data product. RudderStack’s smart customer data pipeline is warehouse-first. Making it robust, scalable, and fast is a full time job.
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