Big Data Transformations with Complex and Nested Data Types

In this blog using the native Scala API I will walk you through examples of 1.) how to flatten and normalize semi-structured JSON data with nested schema.

Complex Data Types - Informatica Documentation

A complex data type is a transformation data type that represents multiple data values in a single column position.

how best to deal with large number of fields and complex nested data

Build the form in the simplest way to reason about, and if needs be have a data transformation layer that converts that to and from the format ...

Complex data transformations made simple with Mappings - Stedi

At a high level, each step can be divided into one of two categories: transporting data and transforming data. In order to enable developers to ...

Transform complex data types | Databricks on AWS

While working with nested data types, Databricks optimizes certain transformations out-of-the-box. The following code examples demonstrate ...

Polymorphic data transformation techniques / data lake/ big data

Process and transform required piece of data (reduced version) to a uni-schema file using a programming language and then process it in spark ...

Complex Data Types - Informatica Documentation

Data types such as array, map, and struct are complex data types. You can assign complex data types to ports in some transformations. Nested data type. A ...

Types of Data Transformation: Tutorial & Code Examples - DataForge

Learn about various types of data transformations, their purposes, and best practices for implementation, including structural and attribute-level ...

Complex Data Manipulation Techniques with Apache PySpark

1. Exploiting Complex Data Structures: Nested Data and Maps · 2. Advanced Transformations with User-Defined Functions (UDFs): · 3. Window ...

How do you handle complex data transformations involving nested ...

In this article, you will learn some techniques and tools to handle data transformations involving nested, hierarchical, or unstructured data in the context of ...

The future of nested datatypes in analytics pipelines—thoughts from ...

The difficulties associated with managing and transforming it into a suitable format for data analysis, often resulting from a lack of ...

Complex Data Types & OBT Modeling in PySpark | by Nicholas Piesco

Complex data types extend entity attributes to include multi-valued, nested, or hierarchical information. For instance, an “Employee” entity ...

Use nested and repeated fields | BigQuery - Google Cloud

Using nested and repeated fields · Creating a field of type RECORD with the mode set to REPEATED lets you preserve a one-to-many relationship inline (so long as ...

ADF: Transform complex data types in Data Flows - YouTube

Mark Kromer explains how to transform complex data types in #Azure #DataFactory and #Synapse using Mapping Data Flows.

A Deep Dive Into Data Transformation for Data Engineers - Airbyte

From basic operations like scaling and normalization to complex tasks such as encoding and aggregation, data transformation caters to diverse ...

Working with Complex Data Structures: Handling Nested ... - Medium

This transformation can involve flattening nested data, aggregating information, and filtering out irrelevant details. Data Binding: Associating ...

Data Transformations - Dataddo!

Multi-Layered Approach to Data Transformation ... This structured method reduces the need for extensive transformations at the data warehouse or final destination ...

Streamline ETL Workflows with Nested Data Types in RAPIDS libcudf

The data type of the column impacts the overall runtime of the example, with more complex data types increasing the runtime of sort-based ...

Working with nested data structures in Query Service

Datasets can also contain nested structures where the column data type can be as complex as an array of nested structures, or a map of maps ...

Introduction to data transformation | BigQuery - Google Cloud

Methods of transforming data · Transform data with DML · Transform data with Dataform · Prepare data in BigQuery.