AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. The following diagram shows the high-level data platform architecture before the optimizations.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured. Semi-structured data contains a mixture of both structured and unstructured data. Improving Efficiency. Final Thoughts.

Big Data 102

Big Data Software Unstructured Data Data Integration 102

CIO Business Intelligence

JUNE 14, 2023

Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 117

Data-driven Advertising Metadata Data Architecture 117

AWS Big Data

MARCH 26, 2024

With QuickSight, you can embed dashboards to external websites and applications , and the SPICE engine enables rapid, interactive data visualization at scale. Data warehouse Data warehouses are efficient in consolidating structured data from multifarious sources and serving analytics queries from a large number of concurrent users.

Data Strategy 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

Analytics 121

Analytics IoT Metadata Internet of Things 121

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

APRIL 10, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Under Authentication Type , choose AWS IDC OAuth and enter following details: For Host , enter the Redshift endpoint.

Data Warehouse 102

Data Warehouse Management Analytics Big Data 102

AWS Big Data

FEBRUARY 25, 2025

Amazon EC2 to host and run a Jenkins build server. Solution walkthrough The solution architecture is shown in the preceding figure and includes: Continuous integration and delivery ( CI/CD) for data processing Data engineers can define the underlying data processing job within a JSON template.

Data Processing 58

Data Processing Machine Learning Data-driven Cost-Benefit 58

AWS Big Data

MAY 9, 2025

Many organizations build and operate enterprise-wide data mesh architectures using the AWS Glue Data Catalog and AWS Lake Formation for their Amazon Simple Storage Service (Amazon S3) based data lakes. An S3 bucket in the producer account to host the sample Iceberg table data.

Data Lake 62

Data Lake Data Warehouse Marketing Management 62

AWS Big Data

OCTOBER 30, 2024

In our use case, we use Redshift Query Editor to create data marts using SQL code. We also use Redshift Spectrum, which allows you to efficiently query and retrieve structured and semi-structured data from files stored on Amazon S3 without having to load the data into the Redshift tables.

Data Lake 97

Data Lake Machine Learning Data Architecture Data-driven 97