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 115

Database 115

Smart Data Collective

JANUARY 25, 2023

Of all of those tactics, storing structured data in databases is by far one of the most effective. However, if a business doesn’t manage its databases efficiently, they become tedious to manage and unproductive to work with. Without this in place, your team will be scrambled whenever a breach or crisis event occurs.

Database 120

Database Business Intelligence Business Intelligence 120

Smart Data Collective

NOVEMBER 29, 2021

One of the benefits of data analytics that many people haven’t considered is the opportunity to find the right event organizers. If you are running an event, then you have to make sure everything is properly coordinated and managed professionally. This can make a big difference in the quality of your professional events.

Analytics 128

Analytics Analytics Big Data Big Data 128

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 Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

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

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

NOVEMBER 15, 2024

When you run the crawler, it creates metadata tables that are added to a database you specify or the default database. This approach is ideal for AWS Glue databases with a small number of tables. Fetch information for the database tables from the Data Catalog. Each table represents a single data store. Build the prompt.

AWS 148

AWS Database AI AI 148

Smart Data Collective

FEBRUARY 20, 2022

Since databases store companies’ valuable digital assets and corporate secrets, they are on the receiving end of quite a few cyber-attack vectors these days. How can database activity monitoring (DAM) tools help avoid these threats? What is the role of machine learning in monitoring database activity? How do DAM solutions work?

Database 130

Database Machine Learning Machine Learning Data Warehouse 130

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

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 101

Database AI AI Artificial Intelligence 101

IBM Journey to AI blog

NOVEMBER 29, 2023

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Apache Kafka AI 105

IBM Journey to AI blog

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. At the forefront of this event-driven revolution is Apache Kafka, the widely recognized and dominant open-source technology for event streaming.

Apache Kafka 100

Apache Kafka EDA SQL Database 100

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

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

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

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

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 119

Database SQL Data Analysis Data Analysis 119

IBM Journey to AI blog

OCTOBER 17, 2023

Advantages of event-driven solutions This is where event-driven solutions excel. Working with “business events” is essential for unlocking real-time insights that enable intelligent decision making and automated responses. 3 reasons to take advantage of event-driven solutions 1.

Data Analyst 94

Data Analyst Data Visualization Business Intelligence Business Intelligence 94

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

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 280

Database Natural Language Processing AI AI 280

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 112

AWS AI AI ML 112

FlowingData

MAY 25, 2022

The Washington Post maintains a database of school shootings (which is sad in itself that such a thing has to exist) to keep record of tragedy that the U.S. The events are terrible when they happen, and they go on to affect thousands of others for a lifetime — kids who were just going on with their daily activities.

Database 132

Database 132

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

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 125

AWS AI AI Python 125

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

Data Science Blog

JUNE 27, 2023

In this representation, there is a separate store for events within the speed layer and another store for data loaded during batch processing. It is important to note that in the Lambda architecture, the serving layer can be omitted, allowing batch processing and event streaming to remain separate entities.

Big Data 130

Big Data Big Data Apache Kafka Database 130

Hacker News

SEPTEMBER 6, 2023

By analysing existing single-cell RNA-sequencing databases and our patch-seq data, we identified nine molecularly distinct clusters of hippocampal astrocytes, among which we found a notable subpopulation that selectively expressed synaptic-like glutamate-release machinery and localized to discrete hippocampal sites.

Clustering 182

Clustering Database 182

AWS Machine Learning Blog

OCTOBER 14, 2024

Solution overview For our custom multimodal chat assistant, we start by creating a vector database of relevant text documents that will be used to answer user queries. Test the Lambda function Next, test the Lambda function created by the CloudFormation stack by submitting a test event JSON.

AWS 127

AWS AI AI System Architecture 127

Flipboard

NOVEMBER 17, 2024

RAG transforms unstructured data into embedded chunks stored in vector databases, using semantic similarity matching to retrieve relevant context for LLM queries. Moreover, it combines vector and graph databases to overcome the limitations of traditional LLM applications using ontology-guided knowledge graphs.

Database 123

Database Artificial Intelligence Artificial Intelligence ML 123

Pickl AI

JANUARY 22, 2025

Summary: This comprehensive guide delves into the structure of Database Management System (DBMS), detailing its key components, including the database engine, database schema, and user interfaces. Database Management Systems (DBMS) serve as the backbone of data handling.

Database 52

Database Database Administration ETL SQL 52

Dataconomy

NOVEMBER 23, 2023

Welltok collaborates with healthcare providers nationwide, delivering online wellness programs, maintaining databases containing personal patient data, generating predictive analytics, and supporting healthcare requirements such as medication adherence and pandemic response. million patients in the United States.

Predictive Analytics 185

Predictive Analytics Database Analytics Analytics 185

AWS Machine Learning Blog

APRIL 17, 2024

Tracking direct events like earnings reports or credit downgrades is straightforward—you can set up alerts to notify managers of news containing company names. However, detecting second and third-order impacts arising from events at suppliers, customers, partners, or other entities in a company’s ecosystem is challenging.

AWS 135

AWS Database Natural Language Processing AI 135

Smart Data Collective

DECEMBER 13, 2021

Tracking how your database is performing should be on the top of the to-do list for any administrator. Create an overview of your database infrastructure. There are all sorts of measurable performance metrics which will give you an insight into how your database is performing from moment to moment. Account for likely conflicts.

SQL 126

SQL Database 126

Hacker News

JANUARY 21, 2025

For example, a profiler takes a sample every N events (or milliseconds in the case of time profilers) to understand where that event occurs or what is happening at the moment of that event. With a CPU-cycles event, for example, the profile will be CPU time spent in functions or function call stacks executing on the CPU.

Database 160

Database SQL Python AI 160

AWS Machine Learning Blog

NOVEMBER 7, 2024

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. Use database functions for searches and compatibility checks. The following diagram illustrates the workflow of the agent. Assist with partial information.

AWS 131

AWS Python AI AI 131