AWS Big Data

MAY 30, 2024

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. The system had an integration with legacy backend services that were all hosted on premises.

Data Warehouse 87

Data Warehouse Data Lake Cost-Benefit Structured Data 87

datapine

MAY 27, 2020

It’s possible to write an analytical report using a spreadsheet, whitepaper, or a simple Word document or file. It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive.

Reporting 245

Reporting Analytics Dashboards Sales 245

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password') or later installed. OutputKey=='HiveSecretName'].OutputValue" OutputKey=='HiveSecretName'].OutputValue"

Big Data 82

Big Data Data Processing Interactive Testing 82

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 62

Unstructured Data IT Manufacturing Visualization 62

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 91

Data Lake Data Warehouse Data-driven B2B 91

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105