Christophe Blefari
NOVEMBER 11, 2022
Modeling is often lead by the dimensional modeling but you can also do 3NF or data vault. When it comes to storage it's mainly a row-based vs. a column-based discussion, which in the end will impact how the engine will process data. The end-game dataset. This is probably the concept I liked the most from the video.
Knowledge Hut
APRIL 23, 2024
In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Big data offers several advantages.
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Towards Data Science
MARCH 9, 2023
The problem is when using the model in production it may lose code consistency among the team members and also the chances of human error in the code are higher when not operating a specially designed framework through the steps. Those are the features and their respective data types: Image 1 —Features and data types.
Workfall
SEPTEMBER 18, 2023
It simplifies the process of extracting, transforming, and loading (ETL) data by providing connectors for a wide range of data sources and destinations. Whether you need to integrate data from databases, APIs, cloud services, or other systems, Airbyte provides the tools to make it easier and more efficient.
Towards Data Science
NOVEMBER 4, 2023
Back in October, I wrote about the rise of the Data Engineer, the role, its challenges, responsibilities, daily routine and how to become successful in this field. The data engineering landscape is constantly changing but major trends seem to remain the same. You can change these # to conform to your data. Datalake example.
Ascend.io
MAY 24, 2023
Let’s take a look at some of the datasets that we receive from hospitals. Biome Analytics receives two types of datasets from hospitals: financial and clinical datasets. The clinical dataset consists of all characteristics, treatments, and outcomes of cardiac disease patients. billion financial records and 8.3
Pinterest Engineering
MAY 2, 2023
We set up a separate dataset for each event type indexed by our system, because we want to have the flexibility to scale these datasets independently. In particular, we wanted our KV store datasets to have the following properties: Allows inserts. We need each dataset to store the last N events for a user.
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