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

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 109

Database 109

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

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

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 Engineering 315

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 SQL 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

Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

ETL 139

ETL Data Warehouse Analytics Analytics 139

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 132

Database Machine Learning Machine Learning 132

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

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

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

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

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 149

AWS Database AI AI 149

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

AWS Machine Learning Blog

APRIL 11, 2024

Vector databases – Vector databases are used to store embeddings. Vector databases efficiently index and organize the embeddings, enabling fast retrieval of similar vectors based on distance metrics like Euclidean distance or cosine similarity. An Amazon S3 object notification event invokes the embedding AWS Lambda function.

AWS 136

AWS Database Algorithm Machine Learning 136

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 154

Database SQL Python AI 154

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

AWS Machine Learning Blog

NOVEMBER 13, 2023

Implementation We demonstrate this implementation with a use case about making real-time movie recommendations to an end user based on their interactions with the movie database over time. An interaction is an event that you record and then import as training data. You can record multiple event types, such as click, watch, or like.

AWS 126

AWS Data Preparation ML ML 126

Data Science Dojo

OCTOBER 22, 2024

How are Knowledge Graphs Different from Vector Databases? Source: Neo4j Knowledge graphs and vector databases represent and retrieve information in fundamentally different ways. Key Components of GraphRAG: Knowledge Graph (KG): A structured database that stores entities (nodes) and relationships (edges) in a graph format.

Database 243

Database AI AI Algorithm 243

ODSC - Open Data Science

SEPTEMBER 12, 2023

Be sure to check out his talk, “ What is a Time-series Database and Why do I Need One? The time series database (TSDB) , however, is still an underutilized tool in the data science community. Most data scientists are familiar with the concept of time series data and work with it often. at ODSC West 2023.

Data Scientist 97

Data Scientist Database Data Lakes Data Science 97

AWS Machine Learning Blog

MARCH 10, 2023

We show how you can apply this approach to various data streaming and event-driven architectures, depending on the desired outcome and actions to take to prevent fraud (such as alert the user about the fraud or flag the transaction for additional review). The user can then choose to take action to prevent further abuse.

Machine Learning 144

Machine Learning Machine Learning AWS Apache Kafka 144

Towards AI

MARCH 20, 2024

Graph databases and knowledge graphs are among the most widely adopted solutions for managing data represented as graphs, consisting of nodes (entities) and edges (relationships). Knowledge graphs extend the capabilities of graph databases by incorporating mechanisms to infer and derive new knowledge from the existing graph data.

Database 118

Database Data Analysis Data Analysis Data Models 118

AWS Machine Learning Blog

JUNE 20, 2024

Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. We used a test database and a list of questions with known answers as a test set.

SQL 116

SQL Database AWS Machine Learning 116