Outline Introduction What is a data warehouse? What is a data lake? Top 7 differences between data lake and data warehouse Types of data warehouse Types of data lake Data Warehouse Tools Data Lake Tools Can data lake replace data warehouse? Introduction Data lakes and Data warehouses are two distinct things. A…

When starting your data science journey, choosing the right libraries for the job is important. To create data visualizations, Python programmers need the right tools to work with their data. There are several different Python libraries for data science. In this article, we’ll cover 7 Python libraries for data science…

In this tutorial, we’ll discuss why we need to start using the following functions (Map, Filter, Reduce, and Lambda) in Python. We will discuss the importance and how we can implement it in our code. Before that, the most important thing we need to first understand is Functional Programming. Functional…

Data Wrangling can be defined as a data munging process, whereby we clean, transform, structure, and organize, raw data to give us an appropriate processed format. Data Wrangling on data is crucial, especially in making better business decisions. Also, as data amount keeps increasing daily, it is highly essential to…

Snowflake and Databricks are two cloud-based data warehouse platforms popular among businesses of all sizes. They offer many features that make them highly appealing to organizations looking for a unified platform to store and analyze big data. …

If you’re new to Power BI, knowing the right way to learn this powerful tool is important. After all, it can transform your data into usable insights that improve your business in many ways. You’ll want to learn Power BI’s main features and use them in an end-to-end workflow. …

Data collection refers to the process of gathering information or data from various sources and storing it in a structured or unstructured format. The purpose of data collection is to collect relevant and accurate information that can be used for analysis and decision-making. The data collection methods vary according to…

What is Data Stewardship? Data stewardship is the process of ensuring that the right people have access to the right data at the right time. It starts with understanding the business needs for data and continues through identification, creation, curation and storage. The role of a data steward involves implementing the policies, processes and…

Data engineering is a field that is on the rise with a massive increase in new data generation. As a result, it is one of the top in-demand jobs worldwide. Data engineers are responsible for managing huge amounts of data to analyze and make the most of it. …