phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

Dataconomy

APRIL 27, 2023

This evolution led to the emergence of multimodal databases that can store and process not only relational data but also all other types of data in their native form, including XML, HTML, JSON, Apache Avro and Parquet, and documents, with minimal transformation required.

Database 159

Database Data Scientist Data Mining Data Mining 159

phData

MARCH 26, 2024

Not only can phData provide development resources to aid your business, but we can also provide analytics engineers to derive insights from your data, visualization developers to create front-end facing applications, and our Elastic Platform Operations can ensure that your environment runs smoothly and continues to in the future.

Internet of Things 52

Internet of Things Clustering Analytics Analytics 52

Precisely

JUNE 29, 2023

The degree of positive results is generally clustered in companies with under 500 employees and companies with 1,000- 5,000 employees. The second most frequently selected response, at 47%, is using technology and processes to profile data and improve quality.

Data Silos 52

Data Silos Analytics Analytics Data Observability 52

Precisely

OCTOBER 19, 2023

It combines internal, external, and third-party data for analysis and visualization while considering the geographical context in which data is collected. Spatial analytics solutions make it easy to combine, organize, manage, and query data from across data silos.

Analytics 64

Analytics Analytics Data Silos Data Visualization 64

phData

APRIL 2, 2024

Understanding Snowflake Snowflake is a cloud-based data platform that organizations can use to simplify their data architectures and eliminate data silos. There are four architectural layers to Snowflake’s platform: Optimized Storage – organizations can bring their unstructured, semi-structured, and structured data.

ML 52

ML ML Data Silos Data Lakes 52

phData

FEBRUARY 13, 2024

Here are some of the biggest challenges: SAP Infrastructure With over 10,000 tables, all with difficult to understand table and column names, SAP’s data model is extremely hard to work with. On top of this, SAP uses proprietary data formats such as clustered tables and calculated views that make it difficult to understand.

Analytics 59

Analytics Analytics Data Scientist Data Modeling 59

Ocean Protocol

APRIL 14, 2023

Can you identify any clusters or groups of NFTs within the collection based on their attributes or characteristics? About Ocean Protocol Ocean Protocol is an ecosystem of open source data sharing tools for the blockchain. Provide a visual overview of the NFT collections of your choice and its characteristics (e.g.

Machine Learning 59

Machine Learning Machine Learning Data Silos Analytics 59

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 101

AWS Analytics Analytics Machine Learning 101

Pickl AI

JUNE 13, 2024

Consider a scenario where a doctor is presented with a patient exhibiting a cluster of unusual symptoms. This can create data silos and hinder the flow of information within a healthcare organization. Here’s where a CDSS steps in.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. Notice the subscribed asset is shared under the folder project.

SQL 139

SQL Data Analyst Data Warehouse AWS 139

Flipboard

DECEMBER 4, 2024

Currently, organizations often create custom solutions to connect these systems, but they want a more unified approach that them to choose the best tools while providing a streamlined experience for their data teams. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lakes 137

Data Lakes Data Warehouse AWS Database 137