Why is ETL Data Integration Important?
Every organization wants its employees to make more informed data-driven choices. To better identify where they can give better onboarding and documentation, the customer support teams looks for patterns in support requests or do text analysis on interactions. The Marketing teams wants a clear picture of their ad effectiveness across platforms and the return on their investment.
They also assist them in better focusing of their resources, products and engineering teams, to look at their productivity data or the defect reports.
The mentioned teams may use the ETL process to gather the information they need for better understanding of their duties. The ETL process, which stands for Extract, Transform and Load, allows businesses to combine data from a variety of sources. The data is then ready for analysis and usage by many teams that need it, besides complex analysis, application embedding, and other data monetization activities.
What is AWS Glue?
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analysing your data and put it to use in minutes instead of months.
Data Integration involves multiple tasks such as, discovering and extracting data from various sources; enriching, cleaning, normalizing and combining data; loading and organizing data in databases, data warehouses and data lakes. These tasks are often handled by different types of users where each use different products. Glue is equally capable of supporting structured and semi-structured data. Dynamic Frame is a better data frame for handling ETL workloads which generally contain messy data.
AWS Glue provides both visual and code-based interfaces to make data integration easier. Users can easily find and access data using the AWS Glue Data Catalog. Data engineers and ETL developers can visually create, run, and monitor ETL workflows with a few clicks in AWS Glue Studio. Data analysts and data scientists can use AWS Glue DataBrew to visually enrich, clean, and normalize data without writing code.
The standard three stages of AWS Glue Works are
- the AWS Glue Data Catalog(Crawlers, Database connections and Streaming Workloads),
- the Glue Jobs(ETL Jobs) and
- the Scheduler(Cron Expression and Quartz Schedules).
AWS Glue Console is a single pane of glass dashboard which retrieves the data from source, manages all information about the data, transforms the data and loads it to the destination. AWS Glue can be accessing the data and interacting with external components/systems using AWS Glue API. To Debug and Test the Python/Scala Code, the AWS Glue has a feature called Interactive sessions that supports Jupyter, Zeppelin and Sagemaker Notebooks. AWS Glue Studio is a graphical representation of the Jobs and Triggers.
What is Talend?
Talend is a data integration platform that is free and an open source. It offers data integration, data management, corporate enterprise applications, data quality, cloud storage, and Big Data software and services. Talend was the first major open-source data integration software firm to enter the market in 2005. Since then, it has developed a diverse selection of items that have received widespread acclaim.
Talend enables businesses to make choices in real-time to become more data-driven where, the data becomes more accessible, the quality improves, and can be transported swiftly to the targeted systems.