AWS Big Data

DECEMBER 16, 2024

With SageMaker Lakehouse unified data connectivity, you can confidently connect, explore, and unlock the full value of your data across AWS services and achieve your business objectives with agility. About the Authors Chiho Sugimoto is a Cloud Support Engineer on the AWS Big Data Support team.

Visualization 89

Visualization Data Processing Testing Publishing 89

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. A data hub contains data at multiple levels of granularity and is often not integrated. Data repositories represent the hub.

Analytics 95

Analytics Data Warehouse Data Lake Metadata 95

CIO Business Intelligence

JULY 17, 2023

It’s about possessing meaningful data that helps make decisions around product launches or product discontinuations, because we have information at the product and region level, as well as margins, profitability, transport costs, and so on. How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI?

IT 98

IT Digital Transformation IoT Internet of Things 98

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

AUGUST 1, 2024

A successful migration can be accomplished through proactive planning, continuous monitoring, and performance fine-tuning, thereby aligning with and delivering on business objectives. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources. Vijay Bagur is a Sr.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

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Dashboards Business Intelligence Metrics Cost-Benefit 40