Week 3 work

This week chapters 3 and 4 were assigned.

Chapter 3 focused on understanding where data comes from, the types of data, and how it is managed. Data is sourced from internal or external sources. Internal sources are within the organization, like sales data, or employee data, while external sources are from outside of the organization, Like social media platforms, or research firms. Some ways that data is collected is with surveys and questionnaires, getting data from websites, sharing data through systems and applications, and collecting data through sensors. The quality of data matters. The accuracy, complete Ness, consistency, timelines, and relevance are all important to the quality of data collected. 

Chapter 4 introduced data pipelines, warehousing, and modern data infrastructure. Data pipelines are series of steps, which move data to a data warehouse from its original source. The function of a pipeline is to extract data, change it into a usable, format, and load it into storage. Pipelines are there to help keep data, clean, organized, and ready to be read. The data warehouse is a system that storage data from different sources in an organized way. Its function is to store a lot of data, provide structured environments that are able to be used for data analysis, and support complex analysis. Cloud computing and big data technologies were made to handle large data sets. Cloud computing stores, processes, and analyzes data un remote servers. Big data, provide tools for processing and analyzing large amounts of data. Some of the key roles and data management are data, engineers, data analysis, and data scientists. These are all specialists within data managing. Data engineers build and keep data pipelines maintained. Data analysis interpret the data using tools and softwares. They are scientists use analytics that are advanced and machine learning. The collaboration between these data managing jobs ensure that data gives insight, and allows a business to grow.

In an attempt to learn more about SQL I clicked on a few of the links available at the end of chapter 4, a few of them were a little tricky to get the hang of, but I did find SQLZOO to be one of the easier ways to practice writing SQL queries.