AWS Machine Learning Blog

MARCH 15, 2024

Duration of data informs on long-term variations and patterns in the dataset that would otherwise go undetected and lead to biased and ill-informed predictions. Breaking down these data silos to unite the untapped potential of the scattered data can save and transform many lives. Much of this work comes down to the data.”

AWS 103

AWS ML ML Data Silos 103

phData

APRIL 2, 2024

By leveraging cloud-based data platforms such as Snowflake Data Cloud , these commercial banks can aggregate and curate their data to understand individual customer preferences and offer relevant and personalized products.

ML 52

ML ML Data Silos Data Lakes 52

ODSC - Open Data Science

JUNE 7, 2023

This means that customers can easily create secure and scalable Hadoop-based data lakes that can quickly process large amounts of data with simplicity and data security in mind. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos. So, what are you waiting for?

Data Lakes 52

Data Lakes Azure Hadoop Data Warehouse 52

IBM Journey to AI blog

MAY 15, 2024

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

Data Pipeline 70

Data Pipeline ETL SQL Database 70

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

Dataconomy

APRIL 27, 2023

Additionally, adding more single-purpose or fit-for-purpose databases to expand functionality can create data silos and amplify data management problems. Building in these characteristics at a later stage can be costly and resource-intensive.

Database 159

Database Data Scientist Data Mining Data Mining 159

Alation

MAY 3, 2022

Mind the (Data Accessibility) Gap. Data is more accessible than ever. Although we don’t live in a perfect data world, data teams throughout nearly every industry have made progress breaking down data silos and moving data to the cloud to take advantage of new capabilities.

Tableau 52

Tableau Data Governance Data Silos Data Engineering 52

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 78

AWS Database AI AI 78

The MLOps Blog

MAY 17, 2023

This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines. Before delving into the technical details, let’s review some fundamental concepts.

ETL 59

ETL Data Pipeline ML ML 59

Alation

DECEMBER 13, 2022

One data catalog supports a broader organizational ability to collaborate (and innovate) across user types, use cases, and business units. Not only do such products create data silos – they perpetuate a broken social system that excludes key stakeholders. This the value of one catalog for many use cases.

DataOps 52

DataOps Data Governance Data Silos Data Scientist 52

phData

FEBRUARY 15, 2024

To take advantage of a data cloud like Snowflake, you need a way to move your data into it. This is where a data integration platform like Fivetran comes into play.

Data Warehouse 52

Data Warehouse Cloud Data Data Silos Analytics 52

phData

NOVEMBER 9, 2023

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Alation

OCTOBER 12, 2021

One may define enterprise data analytics as the ability to find, understand, analyze, and trust data to drive strategy and decision-making. Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. Business strategy. DataOps. …

Analytics 52

Analytics Analytics Data Governance DataOps 52