Cloudera

AUGUST 18, 2021

For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data. If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

CIO Business Intelligence

OCTOBER 1, 2022

P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. Over the past 184 years, The Procter & Gamble Co. (P&G)

Manufacturing 144

Manufacturing Digital Transformation IoT Internet of Things 144

CIO Business Intelligence

MAY 24, 2022

Australian research and advisory firm Adapt identifies an organisation’s ability to execute a data-driven strategy as one of 12 core competencies , identified from 30,000 conversations spanning three years with leading IT and businesses. zettabytes of data. New data scientists can then be onboarded more easily and efficiently.

Data-driven 82

Data-driven Data Lake Data Warehouse Cost-Benefit 82

CIO Business Intelligence

APRIL 6, 2022

billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. But garnering data-driven insights isn’t about capturing and analyzing data from any single edge location. According to IDC estimates , there will be 55.7

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. In response, we launched On-Demand streams in 2021 to provide a simple and automatic scaling experience.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84