Abstract: Distributed Ledger Technology (DLT) is a decentralized database system where transactions are recorded and verified across multiple nodes. Its key features include immutability, ...

Doha Bank has completed a $150 million digital bond that settled instantly on Euroclear’s distributed ledger infrastructure, underscoring how regulated DLT systems, not public blockchains, are ...

The Avalanche Foundation establishes a DLT Foundation in Abu Dhabi Global Market to strengthen Web3 growth and partnerships across the MENA region, leveraging ADGM's advanced regulatory framework. The ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Databricks, a database provider whose tools help customers develop and use AI, is in talks to raise money at a valuation of more than $130 billion, up around 30% from its valuation in a financing ...

Build an ingestion pipeline from the Zendesk API with destination Databricks Schedule the workflow via the Databricks bundle (Databricks workflows) --- resources: jobs: zendesk_ingestion: name: ...

LSEG has announced the launch of the first phase of LSEG’s AI-ready content through MCP Server in Databricks Marketplace, a major milestone in the partnership between LSEG and Databricks, the data and ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

This was originally posted in dbt-databricks project and I was asked to cross post i here. Related to: databricks/dbt-databricks#1246 When running dbt in an Azure Devops Agent (for continues ...

Hedera is proud to participate in the DLT Innovation Challenge, an initiative launched by the Bank of England in collaboration with the Bank for International Settlements Innovation Hub (BISIH) London ...

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...