AWS Big Data

OCTOBER 2, 2023

As organizations strive to derive insights from these diverse data streams, the challenge lies in seamlessly integrating them into a scalable solution. As organizations strive to derive insights from these diverse data streams, the challenge lies in seamlessly integrating them into a scalable solution.

Cost-Benefit 85

Cost-Benefit Metadata Structured Data Management 85

Sisense

JULY 15, 2020

Healthy Data is your window into how data can help organizations address this crisis. The large number of parameter combinations made it very difficult to precalculate all of the options and feed them to the Elasticube. These on-the-fly Python model calculations are uniquely suited for Sisense’s Quest advanced analytics add-on.

Analytics 90

Analytics Modeling Visualization Dashboards 90

AWS Big Data

FEBRUARY 21, 2024

To run inside the VPC, the jobs needs to be assigned to a single subnet, but the most suitable subnet can change over time (for instance, based on the usage and availability), so you may prefer to make that decision at runtime, based on your own strategy. The following diagram illustrates the solution architecture.

Strategy 92

Strategy Management Visualization IT 92

Domino Data Lab

APRIL 21, 2021

In this article, we’ll discuss the challenge organizations face around fraud detection, how machine learning can be used to identify and spot anomalies that the human eye might not catch. Credit card fraud represents a significant problem for financial institutions, and reliable fraud detection is generally challenging.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

O'Reilly on Data

SEPTEMBER 11, 2019

But we wanted to see what an analysis of the event’s proposal data itself might reveal about the state of the field at this point in time. So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

FEBRUARY 3, 2023

What is RPA? Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. Sometimes code must be written to handle what can’t be achieved by a preconfigured bot.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. In addition, regulators are introducing legal requirements around the use of automated decision making.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

AWS Big Data

JUNE 21, 2023

It’s used by thousands of customers for mission-critical workloads. Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. This is the concept of single-table design.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80

O'Reilly on Data

JANUARY 25, 2021

But what are “trends”? Those reports are valuable, but their value isn’t in knowing what languages are popular in any given month. And that’s what I’d like to get to here: the real trends that aren’t reflected (or at best, are indirectly reflected) by the horse races. In our industry, cloud computing might be a good example.

Machine Learning 363

Machine Learning Software Testing Technology 363

AWS Big Data

AUGUST 1, 2023

In the world of software engineering and development, organizations use project management tools like Atlassian Jira Cloud. Companies often take a data lake approach to their analytics, bringing data from many different systems into one place to simplify how the analytics are done.

Data Lake 85

Data Lake Data Transformation Cost-Benefit Data-driven 85