DataKitchen

AUGUST 27, 2021

Part of the data team’s job is to make sense of data from different sources and judge whether it is fit for purpose. Figure 3 shows various data sources and stakeholders for analytics, including forecasts, stocking, sales, physician, claims, payer promotion, finance and other reports. DataOps Success Story.

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Analytics Sales Testing Cost-Benefit 246

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

CIO Business Intelligence

SEPTEMBER 21, 2022

However, as data enablement platform, LiveRamp, has noted, CIOs are well across these requirements, and are now increasingly in a position where they can start to focus on enablement for people like the CMO. Marketing should not have access to elements of the finance team’s data, for example.

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Andrew White

JANUARY 11, 2021

Which industry, sector moves fast and successful with data-driven? Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. What’s your view in situation where the IT function still reports to CFO (Finance Director)? We see both too.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 4, 2023

AI working on top of a data lakehouse, can help to quickly correlate passenger and security data, enabling real-time threat analysis and advanced threat detection. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture. Want to learn more?

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Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

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Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

JANUARY 29, 2025

This configuration allows you to augment your sensitive on-premises data with cloud data while making sure all data processing and compute runs on-premises in AWS Outposts Racks. Solution overview Consider a fictional company named Oktank Finance. In the following sections, you will implement this architecture for Oktank.

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