databricks

JUNE 11, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Analytics 237

Analytics Analytics AI AI 237

Hacker News

APRIL 24, 2025

centers around wide events, breaking down the silos between metrics, logs, and traces. This article outlines the core ideas and technical challenges of this new paradigm, and introduces how GreptimeDB, a native open-source database for wide events, provides a unified and efficient foundation for next-gen observability platforms.

Database 138

Database 138

insideBIGDATA

SEPTEMBER 25, 2023

Timescale, the cloud database company, announced the launch of Timescale Vector, enabling developers to build production AI applications at scale with PostgreSQL. Developers can now bring AI products to market faster, more reliably and efficiently than with traditional vector databases.

Database 259

Database AI AI Analytics 259

Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness.

Database 159

Database Data Scientist Data Mining Data Mining 159

Dataversity

NOVEMBER 11, 2024

The recent meltdown of 23andme and what might become of their DNA database got me thinking about this question: What happens to your data when a company goes bankrupt? This latest turn of events, which involves infighting between management and […] The post Ask a Data Ethicist: What Happens to Your Data When a Company Goes Bankrupt?

Database 105

Database Data Governance Data Quality 105

AWS Machine Learning Blog

MARCH 6, 2025

The result is a system that delivers comprehensive details about events, weather, activities, and recommendations for a specified city, illustrating how stateful, multi-agent applications can be built and deployed on Amazon Web Services (AWS) to address real-world challenges.

AWS 132

AWS Database AI AI 132

Data Science Blog

NOVEMBER 15, 2023

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. SAP ERP), the extraction of the data and, above all, the data modeling for the event log.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

insideBIGDATA

JULY 8, 2023

Unstructured data mobility is not a one-time event, but an opportunity to continually right place data to meet organizational needs. In this contributed article, Krishna Subramanian, COO, president, and co-founder of Komprise, highlights that In the hybrid cloud, AI-enhanced enterprise, unstructured data is everywhere.

AI 435

AI AI Big Data Big Data 435

Flipboard

JANUARY 14, 2025

You can use a local vector database either hosted on Amazon Elastic Compute Cloud (Amazon EC2) or using Amazon Relational Database Service (Amazon RDS) for PostgreSQL on the Outpost rack with the pgvector extension to store embeddings. See the following figure for an example.

AWS 152

AWS Database AI AI 152

Analytics Vidhya

MAY 27, 2025

SQL triggers are like automated routines in a database that execute predefined actions when specific events like INSERT, UPDATE, or DELETE occur in a table. This helps in automating data updation and setting some rules in place. It keeps the data clean and consistent without you having to write extra code every single time.

SQL 140

SQL Database Analytics Analytics 140

KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 168

Python Natural Language Processing Data Science Machine Learning 168

Hacker News

NOVEMBER 13, 2023

SirixDB is an embeddable, temporal, evolutionary database system, which uses an append-only approach to store immutable revisions. GitHub - sirixdb/sirix: SirixDB is an embeddable, temporal, evolutionary database system, which uses an append-only approach to store immutable revisions. It keeps the full history of each resource.

Database 105

Database 105

insideBIGDATA

FEBRUARY 2, 2024

In this contributed article, Tom Scott, CEO of Streambased, outlines the path event streaming systems have taken to arrive at the point where they must adopt analytical use cases and looks at some possible futures in this area.

Analytics 363

Analytics Analytics Data Lakes Big Data 363

Analytics Vidhya

FEBRUARY 5, 2023

Introduction AWS Lambda Event Notifications allow you to receive notifications when certain events happen in your Amazon S3 bucket. S3 Event Notifications can be used to initiate the Lambda functions, SQS queues, and other AWS services.

AWS 290

AWS Analytics Analytics Cloud Computing 290

Flipboard

APRIL 16, 2025

Google Cloud announced a significant number of new features at its Google Cloud Next event last week, with at least 229 new announcements. Buried in that mountain of news, which included new AI chips and agentic AI capabilities, as well as database updates, Google Cloud also made some big moves with

Database 176

Database AI AI Machine Learning 176

Data Science Dojo

OCTOBER 31, 2024

Database Analyst Description Database Analysts focus on managing, analyzing, and optimizing data to support decision-making processes within an organization. They work closely with database administrators to ensure data integrity, develop reporting tools, and conduct thorough analyses to inform business strategies.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Dataconomy

JUNE 10, 2025

Transactional fact tables Transactional fact tables record individual transactions, such as sales events. Database keys associated with fact tables Understanding database keys is essential for relational database architecture, particularly when working with fact tables.

Database 91

Database Analytics Analytics Business Intelligence 91

Data Science Dojo

MARCH 18, 2024

Yet, despite these impressive capabilities, their limitations became more apparent when tasked with providing up-to-date information on global events or expert knowledge in specialized fields. It searches through a vast database that is loaded with the latest information, looking for data related to the user’s query.

Database 369

Database Natural Language Processing AI AI 369

Flipboard

APRIL 19, 2023

Founded out of Berlin in 2021, Qdrant is targeting AI software developers with an open source vector search engine and database for unstructured data, which is an integral part of AI application development particularly as it relates to using real-time data that hasn’t been categorized or labeled. That Qdrant has now raised $7.5

Database 123

Database AI AI Artificial Intelligence 123

Dataconomy

MAY 23, 2025

ACID properties stand as cornerstone principles in the realm of transaction processing, ensuring data integrity and reliability in modern databases. ACID properties refer to a set of guidelines that transactions must adhere to within databases, especially in the context of RDBMS.

Database 91

Database Database Administration SQL 91

AWS Machine Learning Blog

NOVEMBER 15, 2024

The available data sources are: Stock Prices Database Contains historical stock price data for publicly traded companies. Analyst Notes Database Knowledge base containing reports from Analysts on their interpretation and analyis of economic events. Stock Prices Database The question is about a stock price.

Database 124

Database SQL Data Analysis Data Analysis 124

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable. einsteinerupload of.

Analytics 315

Analytics Analytics Hadoop Data Engineer 315

Analytics Vidhya

MARCH 27, 2024

Introduction Starting with the fundamentals: What is a data stream, also referred to as an event stream or streaming data? At its heart, a data stream is a conceptual framework representing a dataset that is perpetually open-ended and expanding. Its unbounded nature comes from the constant influx of new data over time.

Analytics 305

Analytics Analytics Cloud Computing Big Data 305

Towards AI

MARCH 4, 2025

Because training LLMs is a time-consuming process, they do not know about recent events. The library functions as a vector database. This vector allows the system to retrieve the most meaningful information from the vector database. However, they have a major limitation. They lack real-time knowledge. How do we store new data?

Database 92

Database AI AI Artificial Intelligence 92

AWS Machine Learning Blog

APRIL 14, 2025

Text-to-SQL empowers people to explore data and draw insights using natural language, without requiring specialized database knowledge. Youll find that these features help you tackle enterprise-scale database challenges while making your text-to-SQL experience more robust and efficient.

SQL 95

SQL Database AWS AI 95

Hacker News

NOVEMBER 14, 2023

To further explore this topic, I am surveying real-world serverless, multi-tenant data architectures to understand how different types of systems, such as OLTP databases, real-time OLAP, cloud data warehouses, event streaming systems, and more, implement serverless MT.

Data Warehouse 181

Data Warehouse Cloud Data Database 181

insideBIGDATA

SEPTEMBER 18, 2024

The event took place Sept. Always looking forward for a chance to return to my home away from home of Silicon Valley, I jumped at the opportunity to attend my first-ever hardware focused conference, the 2024 AI Hardware and Edge AI put on by Kisaco Research. 9-12, 2024 in beautiful San Jose, Calif., the heart of Silicon Valley.

AI 221

AI AI Cloud Data Big Data 221

Flipboard

NOVEMBER 27, 2024

The ingestion pipeline (3) ingests metadata (1) from services (2), including Amazon DataZone, AWS Glue, and Amazon Athena , to a Neptune database after converting the JSON response from the service APIs into an RDF triple format. Run SPARQL queries in the Neptune database to populate additional triples from inference rules.

AWS 149

AWS Database ML ML 149

AWS Machine Learning Blog

OCTOBER 29, 2024

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers.

AWS 117

AWS AI AI ML 117

KDnuggets

JUNE 11, 2025

MCP servers are lightweight programs or APIs that expose real-world tools like databases, file systems, or web services to AI models. Big names like Hugging Face and Meta are now running hackathons where participants build MCP servers, clients, and plugins, showing just how hot this space is right now.

Natural Language Processing 143

Natural Language Processing Data Science Machine Learning Machine Learning 143

Flipboard

NOVEMBER 4, 2024

Assessing the risk of postoperative cardiovascular events before performing non-cardiac surgery is clinically important. The incidence of major adverse cardiovascular events in the population characterized by the incidence of previous stroke and extremely low LDL-C levels was 15.43

Database 131

Database Machine Learning Machine Learning 131

AWS Machine Learning Blog

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Prompt 2: Were there any major world events in 2016 affecting the sale of Vegetables?

AWS 111

AWS AI AI SQL 111

AWS Machine Learning Blog

OCTOBER 31, 2024

To dispatch interaction events to the solution deployed in this post, Google Chat sends requests to your API Gateway endpoint. First, you will be charged for model inference and for the vector databases you use with Amazon Bedrock Knowledge Bases. The architecture incurs usage cost for several AWS services.

AWS 130

AWS AI AI Python 130

Towards AI

MAY 10, 2025

Event-based systems dont just react they forecast. Client Application API Gateway: The first entry point funnels real-world input events into Graphites processing core. Based on incoming event type, past interactions, and memory embeddings, this layer decides what should happen next call a plugin, check a database, or invoke an LLM.

AI 67

AI AI Azure Database 67

AWS Machine Learning Blog

MARCH 18, 2025

The LLM analyzes the text, identifying key information relevant to the clinical trial, such as patient symptoms, adverse events, medication adherence, and treatment responses. These insights can include: Potential adverse event detection and reporting. Identification of protocol deviations or non-compliance. No problem!

AWS 120

AWS AI AI Data Quality 120

Flipboard

JUNE 3, 2025

To meet the feature requirements, the system operation process includes the following steps: Charging data is processed through the EV service before entering the database. The charging history data and pricing data are stored in the EV database. Amazon EventBridge Scheduler periodically triggers the EV service to perform analysis.

AWS 140

AWS Apache Kafka Database AI 140

Pickl AI

FEBRUARY 2, 2025

Summary: Mastering SQL data types improves database efficiency, query performance, and storage management. The blog aims to explore the significant SQL data types, their applications, and how selecting the right type enhances database performance. billion to USD 30.4 billion by 2029 at a CAGR of 10.1%.

SQL 52

SQL Database Business Intelligence Business Intelligence 52