![]() ![]() Some of the benefits of an ELT process include speed and the ability to handle both structured and unstructured data. ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system. This gives you the ability to analyze your. You can extract the data you need from multiple sources, transform it into a format that’s compatible with your target system, and then load it into that system. ETL menggunakan seperangkat aturan bisnis untuk membersihkan dan mengatur data mentah dan mempersiapkannya untuk penyimpanan, analitik data, serta machine learning (ML). ETL is important because it allows you to use your data in the way you want to Without ETL, you would risk being stuck with unusable data. Since the data is not processed on entry to the data lake, the query and schema do not need to be defined a priori (although often the schema will be available during load since many data sources are extracts from databases or similar structured data systems and hence have an associated schema). Extract, transform, and load (ETL) adalah proses menggabungkan data dari berbagai sumber ke dalam repositori pusat yang besar yang disebut gudang data. ![]() However, ELT requires sufficient processing power within the data processing engine to carry out the transformation on demand, to return the results in a timely manner. In contrast to ETL, in ELT models the data is not transformed on entry to the data lake, but stored in its original raw format. Please help improve this article by introducing citations to additional sources.įind sources: "Extract, load, transform" – news Įxtract, load, transform ( ELT) is an alternative to extract, transform, load (ETL) used with data lake implementations. Extract, Transform and Load (ETL) is a standard information management term used to describe a process for the movement and transformation of data. Relevant discussion may be found on the talk page. Learn more about Extract, Transform, Load (ELT) and the difference between ELT and ETL. Der Extract, Transform, Load Prozess (kurz: ETL) beschreibt die Schritte zwischen dem Sammeln von Daten aus verschiedenen Quellen bis zum dem Punkt, an dem sie schließlich in einer Data Warehouse Lösung gespeichert werden können. This article relies largely or entirely on a single source. This word is an abbreviation of Extract Transform Load which means a three-phase process where data is extracted, transformed, and loaded into an output data container and in the Transform phase, the data will be cleaned, sanitized, and scrubbed. ![]()
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