Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake 105

Data Lake Data Warehouse Unstructured Data Big Data 105

Sisense

OCTOBER 6, 2020

When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Qualitative data benefits: Unlocking understanding.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer.

Analytics 111

Analytics IoT Data-driven Snapshot 111

CIO Business Intelligence

MAY 24, 2022

It also revealed that only 37 percent of organisational data being stored in cloud data warehouses, and 35 percent still in on-premises data warehouses. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. zettabytes of data. EXTRACTING VALUE FROM DATA.

Data-driven 96

Data-driven Data Lake Data Warehouse Cost-Benefit 96

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