Data is growing every day and companies want to store it safely and use it smartly. Delta Lake and Parquet are two tools that make this possible. They help people manage large data in a clean and simple way.
You can learn how they work in the Best Data Engineering Online Courses. It helps you understand how to use modern tools for handling and cleaning data that companies use every day. These tools are used in almost every big company that deals with large amounts of data and wants to make smart decisions based on facts.
What is Delta Lake?
Delta Lake is a tool that helps keep data clean and correct. It sits on top of big data systems and helps make sure that data is not lost or mixed up. It makes it easy to manage old and new data together. It helps in making tables that can be updated without mistakes.
Companies like using Delta Lake because it helps them keep all data in one place. It is easy to use and works well with other systems. Delta Lake is also fast and it can handle very big files. It keeps track of every change made to data so you can check what changed anytime.
What is Parquet?
Parquet is a file format that stores data in a smart way. It keeps data in columns so that it is easy to read and use. It helps to save space and makes reading data faster. This is why many data engineers use Parquet for big projects.
When you store data in Parquet, you can open it quickly even if the file is very large. It is also good for data sharing because it works well with many tools like Spark and Hadoop. Parquet helps reduce the cost of storage and makes work faster for teams that deal with big data every day.
Why Delta Lake and Parquet Work Well Together?
Delta Lake and Parquet work well together because both focus on clean and fast data. Parquet stores the data, and Delta Lake adds extra power to manage it. Together they make it easier for people to use data for reports and analysis.
They also help to make data updates smooth. Many companies use both because it saves time and reduces mistakes. You can think of taking a Data Engineering Certification as it helps.
How do They Help Data Engineers?
Data engineers spend a lot of time making data ready for use. Delta Lake and Parquet make this work easier. They help in cleaning and storing data without confusion. They also help when teams work on data together. It saves time for everyone and improves accuracy.
Many people join a Data Engineering Training in Gurgaon to learn how these tools are used in real work. The training helps them build skills in handling large data sets using simple tools. This makes them ready for jobs in data and analytics.
Delta Lake and Parquet in India
Many learners join Data Engineering Course in Noida to understand how these tools fit into data systems. They get to learn how Delta Lake keeps data safe and how Parquet helps store data smartly. Chandigarh has many students who want to work in data jobs, and these tools are part of the main training. The training helps them gain skills that can help
Conclusion
Delta Lake and Parquet have changed the way people handle big data. They make storing and cleaning data simple and reliable.
With the right training, anyone can learn how to use them. They are tools that help shape the future of data engineering and make work easy for people who build and manage data every day.