KDnuggets
AUGUST 19, 2019
What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? Find out the approach that best fits your organization’s needs and the factors that influence it.
Dataconomy
SEPTEMBER 4, 2023
For example, the 2019 Capital One breach exposed over 100 million customer records, highlighting the need for robust security measures. Use ETL (Extract, Transform, Load) processes or data integration tools to streamline data ingestion. Ensure that data is clean, consistent, and up-to-date.
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SAS Software
NOVEMBER 6, 2023
使えるデータの種類によって、取り組めるテーマが決まる、という側面がありました。 幸いZEALのサービスに、CO-ODEという日本の政府・自治体が出しているオープンデータを集積したデータベースがあり、そこに分野別家計支出データがあったので使うことにした。 具体的な取り組み内容 ２つの時系列予測モデル 時系列予測モデルを2つ用意し、2つのモデルの予測値の差分をパンデミックの影響度合いとして可視化した。 つまりは、2019年12月末までをパンデミック前期間、2020年1月以降をパンデミック後期間とし、パンデミック前期間のデータで訓練したモデルをパンデミック前モデル、パンデミック後期間のデータで訓練したモデルをパンデミック後モデルとし、両者同じ将来期間のデータに対して予測をさせたうえで、その予測値の差分を取りました。 (..)
ODSC - Open Data Science
SEPTEMBER 29, 2023
A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. Spark is more focused on data science, ingestion, and ETL, while HPCC Systems focuses on ETL and data delivery and governance.
The MLOps Blog
AUGUST 3, 2023
At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. Stefan: Back in 2019. Jeff Magnusson has a pretty famous post about engineers shouldn’t write ETL. Stefan: Yeah.
Kaggle
JULY 29, 2020
In August 2019, Data Works was acquired and Dave worked to ensure a successful transition. David: My technical background is in ETL, data extraction, data engineering and data analytics. An ETL process was built to take the CSV, find the corresponding text articles and load the data into a SQLite database.
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