AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 124

Analytics IoT Data-driven Snapshot 124

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort. Author Bio: .

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Dashboards 20

Cloudera

APRIL 20, 2021

Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days.

Analytics 95

Analytics Unstructured Data IoT Visualization 95

Sisense

MAY 11, 2021

Data teams dealing with larger, faster-moving cloud datasets needed more robust tools to perform deeper analyses and set the stage for next-level applications like machine learning and natural language processing. To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Data Insight

OCTOBER 27, 2021

Indeed, AI is adding significant value in a range of different industries: Banking & finance: Fraud detection, fast and accurate credit scoring, automated decisioning and data entry. Manufacturing: Forecasting expected demand, process automation, precision cutting, analysis of IoT data. Getting started with AI.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

AWS Big Data

FEBRUARY 21, 2023

When results are calculated for two or more data marts, this helps eliminate redundant computation and associated inconsistencies. Because business vaults still don’t satisfy reporting needs, enterprises create a data mart after the business vault to satisfy dashboarding needs. What is a hybrid model?

Data Warehouse 71

Data Warehouse Data Lake Cost-Benefit Metadata 71

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. zettabytes of data. EXTRACTING VALUE FROM DATA.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Jet Global

MAY 9, 2024

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52