Data Types

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Time
3 hours 51 minutes
Difficulty
Beginner
CEU/CPE
4
Video Transcription
00:00
Welcome back to Microsoft Azure Fundamentals. This is Module seven. As your storage services
00:07
in this module, we'll learn about the different types of data that companies collect and store in the cloud
00:13
the various services azure offers for storing the data
00:16
and how storing data in the cloud will benefit you versus storing it on premises.
00:22
Let's get started
00:24
before we look at azure data storage options. Let's first see what types of data enterprises collect.
00:31
Although enterprises have been collecting data for decades now,
00:35
the majority of data in the past has been stored in the so called structured format.
00:40
Structured data conforms to a pretty fine schema, and it is stored in tables with rows and columns.
00:47
Before starting the data into tables, the data is normalized to reduce the amount of information stored in the tables and to improve its querying capabilities.
00:57
During the normalization, the data is split into subsets and stored in separate tables.
01:02
Those tables are linked with the help of keys to indicate the relationship between rose and separate tables.
01:10
That is why structured data is also referred to as relational data.
01:14
Each column in the table can store a specific data type like an integer number, a floating number or a string.
01:22
The column data types are enforced and an error is thrown if you try to write a different type of data into any given column.
01:29
Typical examples of structured data are all the data shown in the example.
01:33
Other financial data, like bank ledgers or sensor data.
01:38
Semi structured data is another type of data that has become prevalent recently.
01:44
Semi structured data doesn't really fit into tables and doesn't have a predetermined schema.
01:49
Instead, semi structured data uses keys to organize the data and provide hierarchy.
01:56
Typical examples of semi structured data are key value data where both keys and values can be of any type numbers, strings or objects.
02:06
Key value data can be represented in a simple table with two columns, a key column and a value column,
02:13
and each new entry is stored as a new role in the table.
02:19
However,
02:20
there are no restrictions on the types of data stored in any of the columns.
02:24
Another example of semi structured data is object data, where each object has an identified here. But the content can vary from object to object.
02:35
Jason objects are a perfect example of this.
02:38
In this example, we have a customer object that contains certain information about the customer.
02:44
However, this object can be updated if new information about the customer is discovered.
02:50
There is no schema that restricts you on adding or removing information from the object.
02:57
The third type of data is called unstructured data.
03:00
Unstructured data could be anything.
03:04
There are no restrictions on format or structure.
03:07
It could be a PDF file, a word document, a video or picture, a text file or any binary block.
03:15
Even the Rogue Jason or database files could be considered unstructured data.
03:21
Very often, you can attach metadata to the unstructured data to provide some classification to it.
03:28
We already generate a lot of data today.
03:30
Tweets, Facebook posts and instagram images,
03:35
monitoring analytics, data security data sensor data and whatever else you can imagine.
03:40
The expectation is that by 2020 we will generate 1.7 megabytes per second for every person on the planet.
03:50
The term for that data is big data.
03:53
Gartner defines big data as the three V s
03:57
high volume, high velocity and high variety information assets that demand cost effective, innovative forms of information processing that enable enhanced insight and decision making and process automation.
04:12
In simple terms.
04:14
Big data is data that arrives in high volumes very often and can be in any form
04:20
in the next video. We'll see how azure helps you store any kind of data.
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