分类目录:Data Analytics

以下是分类 Data Analytics 下的所有文章

Data Lake Security – Four Key Areas to Consider When Securing Your Data Lake

Lately, we have been dealing with some new interesting conditions and requirements that involve data lake security. It’s an apparently simple concept. But break it into its two sub-concepts and you would quickly notice plenty of complexity and detail within these three words. On the one hand……

ETL (Extract-Transform-Load)

ETL comes from Data Warehousing and stands for Extract-Transform-Load. ETL covers a process of how the data are loaded from the source system to the data warehouse. Currently, the ETL encompasses a cleaning step as a separate step. The sequence is then Extract-Clean-Transform-Load. Let us briefly ……

ELT vs. ETL

Many organizations are increasingly turning to ELT(Extract, Load, and Transform) tools to address the volume, variety, and velocity of big data sources, which often strain conventional Extract, Transform and Load (ETL) tools designed for internal, relational data warehousing. ELT vs ETL: What’s t……

Hadoop Best Practices for Data Ingestion

Hadoop Data ingestion is the beginning of your data pipeline in a data lake. It means taking data from various silo databases and files and putting it into Hadoop. Sounds arduous? For many companies, it does turn out to be an intricate task. That is why they take more than a year to ingest all the……

What is Data Lake? It’s Architecture

What is Data Lake? A Data Lake is a storage repository that can store large amount of structured, semi-structured, and unstructured data. It is a place to store every type of data in its native format with no fixed limits on account size or file. It offers high data quantity to increase analytic p……

史上最全!最好用的大数据工具及使用方法

大数据的工具数以千计,它们无一不承诺省时省钱并且还能帮你挖掘从未被发现的商业价值。它们的承诺也许都是真的,但是真正实际使用的过程中可能会由于选项太多而不知所措。 哪个才是你真正所需要的呢? 哪个才是最适合你的项目? 为了帮你节省时间并且让你第一次使用就能挑选出正确的工具,我们搜集和整理了数据提取、数据……