AWS-glue

AWS Glue: The Overview

Byadmin

Data is the breath of business! Organizations are ready to pour million dollars to get their desired data. At a certain time, it turned out to be a selling point of the business. When business crucially looking for the best way to extract data, AWS, the master. Yes, we can label AWS as a master. Introduced AWS Glue in 2017. As of now nearly 5K companies using AWS Glue and the important thing to notice here is most of the companies are US based and their ROI is about 1000M dollars. Here let’s discuss AWS glue from its head to toe. 

What is AWS Glue? 

AWS Glue is a serverless single integration service that discovers and prepares data from diverse sources. We can integrate this service with analytics, machine learning and application development based upon the requirement. It supports most of the data processing methods, including ETL. ELT, batch, and streaming. All the gathered data is managed in a centralized data catalog. Thus, it helps organizations with fantastic insights to take the right business decision. 

Components of AWS Glue  

AWS Glue has the following prime components, and some are still in the preview mode  

  1. Glue Data Catalog 
  1. Glue crawlers 
  1. Glue Schema Registry 
  1. ETL 
  1. Glue DataBrew 
  1. Glue Flex 

Glue Data Catalog  

Glue Data Catalog provides unified view of all your data. It’s a kind of hub to store metadata. It also stores attributes, location and table definition. Amazon Athena, Amazon EMR, and Amazon Redshift can be integrated with Glue Data Catalog. 

Glue crawlers 

Glue crawlers run on a regular basis in the data store to detect the newly ingested data as well as modified data. it progresses through the list of classifiers to determine the schema of your data. It is customizable based upon the type of file. 

Glue Schema Registry  

Using compatibility checks that control schema evolution, you can enhance data quality and protect against sudden changes when data streaming applications are coupled with the Schema Registry. Moreover, you can use Apache Avro schemas in the registry to build or modify Amazon Glue tables and partitions. 

ETL – Extract, Transform and Load  

Once data is cataloged, it is prepared for ETL jobs. AWS Glue offers ETL script recommendation to create in python or Scala as well as ETL library to run jobs. Developers can use custom library or write code for ETL. 

Glue Flex  

Glue has two types of execution classes like standard and flexible. The standard execution class is used for fast job start up and dedicated resources. Flexible execution is meant for non-urgent kind of jobs. Glue Flex helps you to cut down the cost for non-time sensitive jobs. 

Glue DataBrew  

Data analysts and data scientists can easily prepare data using the interactive, point-and-click visual interface of Amazon Glue DataBrew without having to write any code. Terabytes and even petabytes of data from your data lake, data warehouses, and databases, including Amazon S3, Amazon Redshift, Amazon Aurora, and Amazon RDS, can be quickly visualized, cleaned up, and normalized using Glue DataBrew. 

Also Read: Foundational Technical Review: Explained

How Does AWS Glue Works? 

The following steps involved in the AWS Glue workflow:  

Crawling: AWS Glue first crawls your data sources to discover and catalog metadata (such as table and schema information) for the available data.  

Creating ETL jobs: Once the metadata is available, you can create ETL jobs in AWS Glue to transform the data as required. AWS Glue supports several programming languages, such as Python and Scala, to write the ETL code.  

Running ETL jobs: You can schedule ETL jobs to run at specific intervals, or you can trigger them manually. AWS Glue creates a Spark environment to run the ETL jobs.  

Monitoring and Debugging: You can monitor the ETL jobs using the AWS Glue Console or API. AWS Glue also provides error handling and retry mechanisms in case of job failures.  

Storing data: After the ETL job is complete, AWS Glue stores the transformed data in target data stores such as Amazon S3, Amazon Redshift, or Amazon RDS.  

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AWS Glue Features 

Features in AWS Glue are categorized based upon the action as Discover, Prepare, Integrate and Transform.  

1. Discover  

360-degree search: Regardless of the data location, all data is stored in the AWS glue data catalog 

Automatic Schema: Glue crawlers connect with data store and determine the schema 

Enforcing schemas for data streams:  Streaming data is controlled and validated using Glue schema registry 

Automatic Scaling: Based upon the workloads, Auto scaling feature scale the resources up or down. 

2.Prepare  

Bulit-in-ML data cleansing: AWS Glue’s FindMatches feature deduplicates the not exact matches. 

Developer endpoints: It provides developer endpoints to edit, debug and test the code 

Visual Interface: Data scientists and data analyst can visualize data without writing code 

Sensitive data detection and remediation: sensitive data is remediated with replacing, redacting or reporting 

Custom visual transformation: One can share and reuse the ETL logic with custom visual transformation. 

3.Integration 

Job development Integration: Job development feature simplifies the data integration job 

Built-in job notebooks: it’s a serverless notebook with access to AWS Glue studio so developers can do their job easily. 

Job Scheduling: ETL pipelines allows you can start multiple jobs at a time and to schedule jobs 

Priority based job execution: Glue Flex provides you the option of flexible execution so you can execute the important job 

Data Lake moderation: you can read, update, insert and delete files in data lake  

Transform  

Drag and drop interface: One can define ETL process with drag and drop job editor interface.  

Streaming data in-flight: Consume vast data from streaming and clean it for analyzation. 

Benefits of AWS Glue  

  • Simple to use 
  • Cost Effective 
  • Promotes power 
  • Brings Unified Environment 
  • Saves Time 
  • Generates rich insights 
  • Scalable 

How Continuum Innovations assist you? 

Continuum Innovations is a reputed cloud managed service provider. We provide cloud solutions to diverse verticals. Our skilled cloud engineers, understand your needs and challenges from the root and come up with the personalized solutions. We have clients from all the industries. 

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