Understanding Delta Lake Data Types for Data Storage Solutions

Delta Lake is a storage layer that allows you to store data in a variety of formats, including CSV, JSON, and Avro.

It supports a range of data types, including string, integer, and timestamp.

Delta Lake's data types are designed to be flexible and adaptable, making it a great choice for data storage solutions.

Delta Lake's data types are based on the Apache Parquet format, which provides efficient storage and retrieval of data.

Data lakes are vast repositories that store structured, semi-structured, and unstructured data at scale.

They are designed to handle immense volumes of data, making them a popular choice for organizations dealing with Big Data.

Data lakes are part of the broader Hadoop ecosystem, allowing users to store data in its raw form, without the need for predefined schemas.

This flexibility makes them suitable for a wide range of use cases, from analytics and machine learning to data warehousing.

Data lakes are particularly useful for storing data in its raw form, which is essential for analytics and machine learning applications.

By storing data in its raw form, organizations can easily process and analyze large amounts of data, gaining valuable insights and making informed decisions.

A Data Lake is a centralized storage repository that can hold vast amounts of structured, semi-structured, and unstructured data.

Delta Lake is a storage layer that can store data in its native form, just like a Data Lake. This flexibility allows you to store all your data in one place, regardless of current use case or analytical needs.

Data in Delta Lake is stored in its raw form, without the need for predefined schemas, making it a flexible and scalable solution for handling large volumes of data. This is similar to how data lakes work, which are vast repositories designed to store structured, semi-structured, and unstructured data at scale.

Delta Lake supports a wide range of data types, including BIGINT, BINARY, BOOLEAN, and DATE, among others. These data types allow for the storage of various types of data, from integers and strings to dates and timestamps.

Here are some of the data types supported by Delta Lake:

Note that Delta Lake does not support the VOID type, which is used to represent the untyped NULL in some data types.

A Data Lake is a centralized storage repository that can hold vast amounts of structured, semi-structured, and unstructured data, making it a flexible storage solution.

Delta Lake supports a wide range of data types, including BIGINT, BINARY, BOOLEAN, DATE, DECIMAL, DOUBLE, FLOAT, INT, INTERVAL, SMALLINT, STRING, TIMESTAMP, TIMESTAMP_NTZ, TINYINT, ARRAY, MAP, STRUCT, VARIANT, and OBJECT.

Here are some key data types supported by Delta Lake:

Note that Delta Lake does not support the VOID type.