Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. Every enterprise wants to improve its business relationship and productivity. This tool will help you to sync and store data from multiple sources quickly.

Sales 141

Sales Big Data Marketing Software 141

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 69

Digital Transformation Machine Learning Optimization Data Lake 69

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections.

Analytics 57

Analytics Data-driven Management Reporting 57

Cloudera

AUGUST 3, 2018

The offering informs decision making and marketing spend for greater ROI, while also enabling organizations to better understand and engage their customers by: Providing actionable insights based on a variety of data points.

Digital Transformation 40

Digital Transformation ROI Consulting Machine Learning 40

FineReport

APRIL 21, 2024

In summary, embedded analytics refers to actionable intelligence seamlessly integrated into customer-facing products, applications, or services. Features include interactive visualizations and native data connectors. Its interface combines spreadsheet-like usability with SQL power, enabling users to analyze data without coding.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. About the Authors Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Cloudera

JANUARY 11, 2018

Data science and advanced analytics deliver more value if organizations can deploy models and algorithms on detailed data brought together from many sources, not just on summaries or samples contained in a single data warehouse or data mart.” ” And teases at the reward.

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40