article thumbnail

Data Intelligence in the Next Normal; Why, Who and When?

erwin

When the pandemic first hit, there was some negative impact on big data and analytics spending. Digital transformation was accelerated, and budgets for spending on big data and analytics increased. But data without intelligence is just data, and this is WHY data intelligence is required.

article thumbnail

The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

The training data and feature sets that feed machine learning algorithms can now be immensely enriched with tags, labels, annotations, and metadata that were inferred and/or provided naturally through the transformation of your repository of data into a graph of data.

Metadata 250
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 107
article thumbnail

The Future of the Data Lakehouse – Open

CIO Business Intelligence

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Choosing an open data lakehouse powered by Apache Iceberg gives companies the freedom of choice for analytics. Cloud Management

article thumbnail

The Future of the Data Lakehouse – Open

Cloudera

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Choosing an open data lakehouse powered by Apache Iceberg gives companies the freedom of choice for analytics.

article thumbnail

Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. To better understand this, imagine a chatbot that helps travelers book their travel.

article thumbnail

Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

AWS Big Data

With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. Process and transform XML data into a format (like Parquet) suitable for Athena using an AWS Glue extract, transform, and load (ETL) job. xml and technique2.xml. Choose Create.