AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights. You don’t need to write any code. Choose Next.

Visualization 114

Visualization Metadata Testing Internet of Things 114

datapine

JANUARY 31, 2022

Experience the power of Business Intelligence with our 14-days free trial! Driving performance and revenue is one of the relevant benefits of business analytics. Especially after we examined 6 case studies that showed the incredible ROI that is possible from using them and the many benefits of business analytics.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

AWS Big Data

OCTOBER 11, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, ML, and application development. The Data Catalog contains the table definition, which contains metadata about the data in the machine-readable file.

Visualization 118

Visualization Dashboards Data-driven Gap analysis 118

Sisense

MAY 18, 2020

They recommend and expand queries, thereby improving the users experience of Sisense NLQ , which allows users to ask questions of their data in straightforward language and interact with it themselves. YL: We’re interested in metadata. New people interact with the data. AM: What kind of recommendations can users get?

Analytics 98

Analytics Digital Transformation Data-driven Sales 98

IBM Big Data Hub

AUGUST 4, 2023

Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program. Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Research VP, Business Analytics and Data Science. Enjoy your summer!!

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. It’s a much more complex landscape.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109