aws glue ideas guide

Introduction and Resources on AWS glue – EC2instancehelper

If you are someone who loves coding then you might know about the AWS Glue because it is a platform developed by Amazon to manage all the data computing, events and schedules in the form of code. Introduced in August 2017 AWS Glue is part of one of the platforms provided by Amazon Web Services. To know more about it in detail scroll down:

 

What is AWS Glue?:

If you are a fan of coding and machine learning then you might know what AWS Glue is exactly. To understand it in simple words it is a serverless data integration service that is developed by Amazon to prepare, combine and discover data for machine learning, data for analytics and other application development. Basically, AWS Glue provides data in such a way that you can start using your data in just a few minutes, unlike in old times when you need to wait for months to use your data. What’s interesting is that AWS can provide both the data integration services that are code-based interfaces and visual interfaces.

 

What is AWS Glue Built on:

When we talk about AWS Glue it’s important to learn about what exactly it is based on. Basically, it is based on the Apache Spark Structured Streaming engine(Spark 3.1). It can also work on streams from:

1) Amazon Kinesis Data Streams,

2) Apache Kafka,

3) Amazon Managed Streaming for Apache Kafka.

Because of Spark 3.1, you can use scripts in Python and Scala language(you will read about it further in this article).

As AWS Glue is based on this engine it makes it easier to control big data on the job. Many companies find it difficult to maintain big data but with the help of AWS Glue, it becomes easier to maintain.

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Applications:

When it comes to the uses of AWS Glue it has many uses that can be listed but some of them are mentioned below

1) As mentioned in this article it is used for ETL jobs-related things like events, notifications or schedules.

2) AWS Glue is used for scaling resources automatically as per the need of the situation

3) As it is an ETL Job-based application, it maintains KPIs, data, metrics and logs and monitors it.

4) AWS Glue is also useful for handling any errors related to ETL job data so that it doesn’t create further confusion in job data.

 

How does it work?:

Let’s shed some light on how AWS Glue works. Well, in simple words it is like a warehouse of data. Ir stores and generates data whenever you need it. In earlier times when one used to store data, they cannot use it for months because systems were slow at that time. But now because of AWS Glue and development in technologies, it has become easier to access the data. It is responsible to give you notification of the job, creating data for the job, monitoring your job runs, and helping you in every step of the job. AWS Glue connects all the data into a management application. This way you can manage your ETL operations(you can learn more about it further in the article). You will know how AWS Glue works once you start using it.

 

Features:

Now we will talk about some features that are provided by AWS Glue:

1) Automatic ETL Code Generation.

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(You can learn more about ETL further in the article.)

2) Endpoints For Developers

3) Data Cleaning and DeDuplication

4) AWS Glue Data Catalog

5) Automated Data Schema Recognition

6) Streaming Support

7) Running Schedules For AWS Glue Job

These are some of the Features of AWS Glue. There are many other features in this that are developed by Amazon. As it contains more data related to jobs it has many features related to that. You can learn about all of these features in detail once you start using them.

 

How do you implement AWS Glue?:

Let’s learn how to set up your AWS Glue step by step:

1) You need to create your account in AWS Glue and then Log In to your account.

2) then create an IAM Policy(A policy that defines your permission on who can see your data)for the AWS Glue service.

3) Create Environment to access data stores

These are some simple 3 steps through which you can create or implement your AWS Glue account. If you don’t understand these steps then you can take a look at the guide provided by Amazon that will guide you on every step of implementing AWS Glue.

 

Is AWS Glue Expensive?:

AWS Glue is something that will help you in managing your data in the best way. Basically, it is a serverless platform but it can extract, transform and load your data in an easy manner. When it comes to its expenses it will cost you around $0.44 per hour. When it counts on a one-day basis roughly it will cost you $21 per day. But you know what? This cost is nothing compared to what AWS Glue provides. If you want to get easy access to data then this is one of the best platforms you can opt for. Besides, it will help you in managing data with easy understanding.

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AWS Glue and Resource Policy:

In simple terms, AWS Glue’s resource policy is something that controls the access to data catalogue resources. Moreover, these resources include data catalogue APIs that can interact with tables, databases, connections and user-defined functions. One thing about resource policy is that you can’t use it on the resources like notifications, jobs, triggers, development endpoints etc. Catalogue and resource policy is interconnected because their resource policy is connected with a catalogue that contains all types of Data. You can learn more about resource policy here.

 

Languages Supported In AWS Glue:

When we talk about AWS Glue of course you might wonder what type of languages it might support. Well, it uses 2 languages, one is Python and the other is Scala. In AWS Glue Python uses a language that is different from its own, a language called PySpark Python. In simple words, we as humans use many languages to communicate but we all have different dialects. In the same way, Python uses PySpark Python for extracting, transforming, and loading the job. In simple words, we can say it is ETL. Moreover, all this work is based on a script. These two languages are used in the script and you can change the script according to your preference.

 

These are some important informational points that you might not know about AWS Glue. These points will help you in learning about AWS Glue and its resources.

 

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