How To Configure AWS Glue With Snowflake For Data Integration |
Posted: January 16, 2023 |
How To Configure AWS Glue With Snowflake For Data IntegrationThe digital world is evolving every day. With the evolution of data and its processing methods, developers are constantly trying to build better tools to manage and analyze data. Enterprises are generating insurmountable data regularly; from multiple sources and in various formats that need coding and de-coding. Table of contents:
Introduction:It is becoming a challenge for businesses to meet their needs and manage their KPIs and performance. Developers and programmers understand the growing demand for powerful integration tools to manage businesses better. Hence, they are working hard to provide easy-to-use and affordable data integration software for better data management and upscaling businesses. In a pool of insurmountable data, if you need a tool that does all the hard work of discovering, collecting, and managing your enterprise data, AWS Glue has a solution. What is AWS Glue?AWS Glue, powered by Amazon Web Service, is a serverless computing platform to help businesses manage their data. It provides faster, cheaper, and simpler data management services and easily integrates with multiple data sources. It connects with 70 diverse data sources and collects and manages data in a data catalog. Its key feature is that it can analyze and categorize data and is a fully managed ETL (extract, transform, load) service. However, to know better insights on CMO definitely AWS training plays an important role. AWS Glue has also launched a new capability at AWS Re:IInvent 2020. It helps users arrange data integration workflows to support custom third-party connectors. Features of AWS GlueAs a scalable data integration service, it discovers, analyzes, manages, and integrates data from multiple sources for application development, analytics, and machine learning. 1. DISCOVER
2. PREPARE
3. INTEGRATE
4. TRANSFORM
What is AWS Glue Catalogue?The AWS Glue Catalogue stores all the structural and operational metadata. The references to data used as sources and targets of your ETL (extract, transform, and load) jobs are also contained in the AWS Glue Catalogue. You must first catalog your data to create a data lake or warehouse.
For every data set, you can create and store its physical location, add business-relevant attributes and table definitions, and track the data to see how it has changed over time. The AWS Glue has another feature of providing data integration with Amazon Athena, Amazon Redshift Spectrum, and Amazon EMR. Along with CloudTrail and Lake Formation, the Data Catalogue gives you access to governance with schema change tracking and extensive auditing with data access controls. It means you’ll ensure that your data is not accidentally shared or modified inappropriately. What is Snowflake?Snowflake is a data platform company. It manages and stores big data for modern enterprises. Snowflake is a cloud-based data warehouse that operates on AWS (Amazon Web Services) or Microsoft Azure. As a fully managed SaaS (software as a service), it provides a single platform for data science, data engineering, data storage, warehousing, data lakes, application development, and consumption and sharing of real-time data. Let’s quickly dive into its benefits for your business
Now, we know enough about the two programs. It’s time to discuss data integration. What is Data Integration?In the pool of mishandled data, it is a challenge for businesses to bring all that together and present it to their target audience in a cohesive format. Data integration is a process where an enterprise uses software and other programming services to bring data from multiple sources and platforms into one place and manage it all in a unified view for the users.
The primary purpose of data integration is to simplify data and make it effortless and freely available to consumers.
It is the need of the hour for enterprises to invest in data integration platforms, especially for small and midsize businesses, because their data is not in one place. But once the enterprise starts to scale up, the need to manage becomes a priority because proper data integration is necessary for continued growth. Data Integration uses two approaches:
It is a fact that both AWS Glue and Snowflake are working to help enterprises, big or small. They are managing their data better and providing a virtual warehouse where their data is processed and shared in a simple format, along with a security facility. So, for better data management, AWS Glue and Snowflake can be combined. The Process of Configuring AWS Glue with Snowflake for the Integration of Data How to configure AWS Glue with Snowflake for Data Integration?Together, Snowflake and AWS Glue enable users to have complete control over their data by providing a fully supervised space that promotes easy integration with Snowflake’s data warehouse service. The union further promotes easy data sharing with consumers and flexibility in transforming the ETL and ELT pipelines. How does the configuration process happen:Some preconditions:
The Set-up:Step 1. Log in to AWS. Step 2. Search for the S3 link and click on the S3 link.
Step 3. Switch to the AWS Glue Service. Step 4. Click on Jobs on the left panel under ETL. Step 5. Add a job by selecting the Spark script editor option, clicking Create, and then clicking on the Job Details tab.
Final WordAWS Glue and Snowflake are making the data integration process easier for enterprises. Although AWS Glue has the potential to manage the data overflow alone, But with its configuration with Snowflake and the Spark Connector’s query pushdown, the process is better optimized, and the ELT pipeline has become easy and flexible. Above all, enterprises can present their users with easy-to-read and simplified data to consume across all communication platforms. Author Bio:
I am Korra Shailaja, working as a digital marketing professional and content writer for MindMajix online training. I have good experience handling technical content writing and aspire to learn new things to grow professionally. I am an expert in delivering content on the market demanding technologies like Mulesoft Training, Dell Boomi Tutorial, Elasticsearch Course, Fortinet Course, PostgreSQL Training, Splunk, Success Factor, Denodo, etc. Must Read:
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