Engineering data with Alfaz

20/11/2024

06/11/2024

𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗧𝗲𝗿𝗺𝗶𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀

𝐃𝐚𝐭𝐚 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞:

A data warehouse is a large, central repository of data collected and managed from various external data sources and departments within an organization. These units store historical data, allowing users to access information from application log files and transaction applications. A data warehouse remains separate from a team’s operational systems, meaning it can be manipulated and viewed using queries as needed to conduct enterprise-wide data analysis.

𝐃𝐚𝐭𝐚 𝐌𝐚𝐫𝐭:

A data mart is a subset of a data warehouse, though it does not necessarily reside within a data warehouse. Data marts allow one department or business unit, such as marketing or finance, to store, manage, and analyze data. As a result, individual teams within your organization can access data marts quickly and efficiently rather than sifting through your entire company’s data repository.

06/11/2024

Excellent comparison between AWS, Azure and GCP services.

If you want to build a data pipeline in any of these cloud, this demonstration by 𝐁𝐲𝐭𝐞𝐁𝐲𝐭𝐞𝐆𝐨 will definitely help you to choose your services.

05/11/2024

Hi, welcome to 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝘄𝗶𝘁𝗵 𝗔𝗹𝗳𝗮𝘇!

Here, I'll be sharing posts on various tools and technologies, along with tips and tricks for SQL, databases, data warehousing, ETL, big data, Hadoop, Apache Spark, Apache Airflow, and more.

Expect open conversations on industry trends, new technologies, and the innovations that are shaping the data landscape.

Whether you're an aspiring data engineer or a seasoned pro, this page is here to help you learn, share thoughts, and grow in the data world. Follow along, engage, and let's build a strong data community together!

Stay tuned for regular updates, learning resources, job opportunities and career insights to sharpen your skills.