What are AWS Data Engineering Tools?

Want to become an AWS Data Engineer? Enrol for AWS Data Engineering Online Training and Certification course from Multisoft Virtual Academy. This course offers you in-depth knowledge of all the aspects of data engineering in Amazon Web Services, along with the roles and responsibilities of an AWS Data Engineer. While studying AWS Data Engineering Online Training and Certification course, you will come across a term called AWS Data Engineering Tools. Why are they? And what do these tools do? Let’s understand this in this blog.

What are AWS Data Engineering Tools?

AWS has designed many tools that are used by AWS Data Engineering to perform processes for specific requirements. In this article, you will learn about the main Data Ingestion tools, Data Storage tools, and Data Integration tools used by AWS Data Engineers.

1) Data Ingestion Tools

The tools falling under the Data Ingestion Tool umbrella are used to extract various raw data, including Real-time Data Streams, text, and logs from different sources, such as Databases, APIs, Mobile devices, Sensors, etc. All the collected data is then stored in a Storage Pool. The main data ingestion tools used by AWS data engineers are Amazon Kinesis Firehose, AWS Storage Gateway, and AWS Snowball.

• Amazon Kinesis Firehose — This tool delivers real-time streaming fully managed data to Amazon S3 and configures data transformation before storing them in Amazon S3. The features supported by Kinesis Firehose are Lambda Functions, Data Batching, Encryption, and Compression. It depends on the yield and volume of streaming data, and is auto-scalable; where Lambda Functions have the capability to transform incoming data, generated from the source into the desired structure prior to uploading them in Amazon S3. Kinesis is used by AWS Data Engineering to provide smooth Data Transfer along with Data Encryption.
• AWS Snowball: This tool delivers enterprise data to Amazon S3 from on-premise databases. In order to solve the data replication issues in Cloud Storage from on-site data sources, Amazon Web Service uses a Snowball device to travel to the source location of the data and then connect it with the Local Network. Users can transfer data to Snowball devices from local machines, where it supports AES-256-bit Encryption. Companies can not just transport back the device to Amazon Web Service, but also transfer data to Amazon S3.
• AWS Storage Gateway: Companies usually run on-site machines for various daily tasks, which required data backup on Amazon S3 on regular basis. For this, AWS Data Engineering offers a Storage Gateway, which enables transferring data to Amazon S3 from on-site data sources with the help of File Storage Gateway’s Gateway configuration. AWS Storage gateway uses Network File System (NFS) connection to share or transfer data to Amazon S3. Being a Distributed File System Protocol, Network File System allows users to share data with Amazon S3 over the network. From AWS Storage Gateway Console, one can also change or configure file-sharing settings and start file-sharing between on-premise machines and Amazon S3.

2) Data Storage Tools

Once the extraction process is done, the data is in Storage Pools or Data Lakes. Based on the mode and requirement of data transfer, AWS offers a variety of storage services. Equipped with in-depth knowledge of AWS Data Engineering, you will be able to pick the appropriate Data Storage service for every task. It is one of the most essential tools, as it delivers HPC (High Power Computation) solutions. The services offered by AWS can easily integrate with other applications and are cost-efficient. Since it can connect with various applications, Data Storage Tools can gather data from various sources in lesser time and transform them into specified Schema.

In addition to that, S3 is cost-effective doesn’t involve any upfront hardware costs, and gives users the freedom to replicate S3 storage to different Availability Zones. Users can easily set up Recovery Time Objectives and Recovery Points Objectives for robust Restore and Data Backup features. Users can also run web-based cloud apps with efficiency, while automatically scaling with flexible configurations. Amazon S3 along with AWS Data Engineering allows users to run Big Data Analytics to gather better insights.

3) Data Integration Tools

With ELT (Extract Load Transform) or ETL (Extract Transform Load), Data Integration Tools gather data from different sources to get a centralized view. Process execution with Data Ingestion Tools is a part of Data Integration. One of the main tools that fall under the umbrella of data integration tools is:

• AWS Glue: It is a serverless Data Integration Service, which helps in gathering data from different sources; this process is called Data Ingestion. It handles the Data Transformation in the desired Schema before uploading it to the Data Warehouse or Data Lake. As mentioned above, Storage Pools are also called Data Lakes that store data in their original structure; hence it is non-compulsory to carry out Data Transformation while uploading data. However, Data Warehouses need a uniform Schema for running fast Reporting, Queries, and Analytics.

AWS Data Engineering utilizes AWS Glue to offer functionalities, such as extracting data and transforming it into a uniform Schema. It also manages the Data Catalog, which acts as a metadata central repository.

If you want to gain an in-depth understanding of AWS data engineering and the roles and responsibilities of an AWS data engineer, consider enrolling in AWS Data Engineering Online Training and Certification course from Multisoft Virtual Academy. All the courses offered by Multisoft come with perks like lifetime access to e-learning material, recorded training session videos, and after-training support. This course is delivered by Multisoft’s global subject matter experts in live instructor-led, one-on-one, and corporate training sessions. Moreover, after successful completion of the AWS Data Engineering Online Training and Certification course, you will be awarded a globally recognized training certificate.