Course: Microsoft Future Ready: Fundamentals of Big Data

Welcome to Week 2! Last week, we were introduced to the forms which data takes and ways to store it. We started by learning about structured vs unstructured data, and …

In this step, you’ll be introduced to the concept of data encoding as well as some common encoding types. Important terms in this video Decimal In this scenario, decimal refers …

In this step, we’ll learn about the common forms and file types that data can take when stored in a file. Common Formats of Data Unstructured data Unstructured data doesn’t …

In the first step of this activity, we’ll be introduced to the idea of data, giving us a scale of how much data is being generated around us daily. What …

Building on the last step, Graeme will show us some of the benefits and features of working with an Azure SQL Data Warehouse. For the majority of its life, a …

Thank you for telling us a little bit about yourself. We hope this course will be an enjoyable learning journey for you. Course Outcomes The following are the course learning …

Welcome to the Microsoft Future Ready: Introduction to Big Data course. Overview This course introduces learners to key concepts and terms relating to the storage of data, as well as …

In this step, we’ll explore the difference in design and purpose between a data warehouse and a database. Data Lake vs Data Warehouse Last week, you learned about Azure Data …

In the previous step, we learned how batch processing we can use some of the Apache open-source technology when working in Azure HDInsight. Now let’s look at real-time applications. Apache …

In this step, we’ll start exploring Azure HDInsight and some of the open-source technologies available to us when batch processing data. You’ll also be introduced to Jupyter Notebooks. HDInsight & …

In the previous step, we saw how we could perform batch processing using some of the Azure resources available to us. In this step, we’ll take a look at real-time …

In this step, we’ll explore some tools and considerations for batch processing data, which is often necessary when working on large historical stores such as a data warehouse. The purpose …

This activity will describe the technological solutions available within the Azure platform to tackle the problems highlighted in the previous section. In previous steps, we explored batch processing, which typically …

To finish off our introduction to big data, Graeme will demonstrate some of the options available when working with a high-velocity problem when your data is in motion (when there …

To begin this overview of interacting with big data, let’s examine data in a state of rest. At Rest Big data at rest is when you have high volumes of …