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. There are several steps to take, and many considerations to take onboard, when building your own SQL Server monitoring strategy, so here are just a few pieces of guidance that will help you avoid common pitfalls.

SQL 126

SQL Database 126

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

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

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. The data is stored in a data lake and retrieved by SQL using Amazon Athena.

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SQL Database AWS Machine Learning 114

AWS Machine Learning Blog

NOVEMBER 15, 2024

For instance, analyzing large tables might require prompting the LLM to generate Python or SQL and running it, rather than passing the tabular data to the LLM. The available data sources are: Stock Prices Database Contains historical stock price data for publicly traded companies. We give more details on that aspect later in this post.

Database 117

Database SQL Data Analysis Data Analysis 117

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

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

Flipboard

DECEMBER 6, 2023

In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.

SQL 167

SQL Database AWS Machine Learning 167

ODSC - Open Data Science

MARCH 8, 2023

Data is scaling at an incredible rate, making databases more critical than ever to keep things running smoothly. Yet, as businesses have turned to databases on a large scale, they’ve quickly become the target of hacking attempts, phishing schemes, or brute force attacks. That’s where database security comes in.

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Database Data Science SQL Database Administration 98

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

Pickl AI

JULY 27, 2023

What is SQL? SQL stands for Structured Query Language. It is a standard programming language used for managing and manipulating relational databases. Here are some of the main features of SQL: Data Querying: SQL allows users to retrieve specific data from a database using the SELECT statement.

SQL 52

SQL Database Azure Data Science 52

AWS Machine Learning Blog

FEBRUARY 13, 2025

Caching is performed on Amazon CloudFront for certain topics to ease the database load. Amazon Aurora PostgreSQL-Compatible Edition and pgvector Amazon Aurora PostgreSQL-Compatible is used as the database, both for the functionality of the application itself and as a vector store using pgvector.

AWS 111

AWS K-nearest Neighbors Clustering Algorithm 111

Pickl AI

JULY 17, 2024

Summary: The row_number function in SQL assigns unique row numbers within defined partitions, enhancing tasks like ranking and pagination. Its integration as a window function streamlines complex operations, optimising database performance and query readability for SQL developers. SQL Server Error 26 and Methods to Resolve It.

SQL 52

SQL Database Data Analyst Analytics 52

Data Science Dojo

JULY 3, 2024

Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. Career Support Some bootcamps include job placement services like resume assistance, mock interviews, networking events, and partnerships with employers to aid in job placement.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

MAY 30, 2024

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A user sends a question (NLQ) as a JSON event.

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AWS SQL Database AI 129

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. And retrieving data is straightforward with a query language like SQL where you can filter by value, tag, time range, and more.

Data Scientist 97

Data Scientist Database Data Lakes Data Science 97

Data Science 101

OCTOBER 2, 2019

A few weeks ago, I attended my first SQLSaturday event. I sat down with John Byrnes and we discussed: Where has SQL taken his career? Why should someone attend a SQLSaturday event? I brought along my camera and was lucky enough to record a couple interviews. This is one of those interviews.

SQL 92

SQL Database Data Science 92

AWS Machine Learning Blog

MARCH 14, 2024

We formulated a text-to-SQL approach where by a user’s natural language query is converted to a SQL statement using an LLM. The SQL is run by Amazon Athena to return the relevant data. Our final solution is a combination of these text-to-SQL and text-RAG approaches.

SQL 131

SQL AWS AI AI 131

Cambridge Intelligence

OCTOBER 25, 2023

Visualizing graph data doesn’t necessarily depend on a graph database… Working on a graph visualization project? You might assume that graph databases are the way to go – they have the word “graph” in them, after all. Do I need a graph database? It depends on your project. Unstructured? Under construction?

Database 64

Database Data Modeling Data Models Algorithm 64

AWS Machine Learning Blog

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. To retrieve data from database, you can use foundation models (FMs) offered by Amazon Bedrock, converting text into SQL queries with specified constraints.

AWS 130

AWS Machine Learning Machine Learning SQL 130

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

Database 59

Database Azure SQL Analytics 59

Towards AI

FEBRUARY 29, 2024

Apache Kafka Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications. RDD, DataFrames and Datasets: RDDs form the backbone of Spark, while DataFrames resemble relational database representations, and Datasets excel in handling structured and semi-structured data.

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Apache Kafka SQL Clustering Data Pipeline 142

ODSC - Open Data Science

MARCH 3, 2025

Use Case 1: Understanding Clinical Documents Extracting Adverse Events from Unstructured Text Adverse drug events, particularly those linked to opioids, are often underreported. The process involves three distinct NLP tasks: event classification, named entity recognition (NER), and relationship extraction.

Natural Language Processing 52

Natural Language Processing Data Scientist SQL Database 52

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

ODSC - Open Data Science

AUGUST 2, 2024

In the world of data science and databases, few names stand as tall as Dr. Mike Stonebraker. Known for his groundbreaking work in relational databases and a career that spans decades of innovation, Stonebraker has consistently pushed the boundaries of what technology can achieve.

Database 52

Database Data Science SQL Analytics 52

Smart Data Collective

APRIL 29, 2020

Redshift is the product for data warehousing, and Athena provides SQL data analytics. Profisee notices changes in data and assigns events within the systems. Panoply also has an intuitive dashboard for management and budgeting, and the automated maintenance and scaling of multi-node databases.

Data Warehouse 99

Data Warehouse SQL Azure ETL 99

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 150

Database SQL Python AI 150

Mlearning.ai

FEBRUARY 13, 2023

Welcome to the wild, wacky world of databases! But with so many types of databases to choose from, how do you know which one is right for you? Databases are like different tools in a toolbox — each designed for a different need Picture a toolbox filled with different tools, each designed for a specific task. and let’s dive in!

Database 52

Database Data Modeling Data Models Big Data 52

ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. This is particularly advantageous when dealing with exponentially growing data volumes.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Flipboard

JANUARY 24, 2025

RAG data store The Retrieval Augmented Generation (RAG) data store delivers up-to-date, precise, and access-controlled knowledge from various data sources such as data warehouses, databases, and other software as a service (SaaS) applications through data connectors.

AWS 158

AWS AI AI Data Warehouse 158

IBM Journey to AI blog

SEPTEMBER 11, 2023

Boyce to create Structured Query Language (SQL). Thus, was born a single database and the relational model for transactions and business intelligence. Developers can leverage features like REST APIs, JSON support and enhanced SQL compatibility to easily build cloud-native applications. Chamberlin and Raymond F.

Database 101

Database SQL Data Warehouse Machine Learning 101

Data Science Dojo

AUGUST 18, 2023

LlamaIndex can be used to connect LLMs to a variety of data sources, including APIs, PDFs, documents, and SQL databases. Vector databases Vector databases are a type of database that is optimized for storing and querying vector data. However, it can also be a time-consuming and computationally expensive process.

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Natural Language Processing Database AI AI 195

Mlearning.ai

MARCH 15, 2023

San Francisco has a ton of events but unfortunately residents have to really look hard to find events on a weekly basis. Most events can be found on venue websites or on free event posting sites. I scraped event information from SF Fun Cheap, Eventbrite, and 19hz (an EDM and techno focused SF music event page).

Natural Language Processing 40

Natural Language Processing Database SQL Python 40

IBM Journey to AI blog

OCTOBER 18, 2023

On December 5–6, 2023 at the Computer History Museum in Mountain View, CA, hundreds of developers and software engineers will come together at PrestoCon 2023 to support and learn more about Presto, the open-source SQL query engine for data analytics and the Open Data Lakehouse. Here are three reasons you might consider attending: 1.

SQL 107

SQL Analytics Analytics Database 107

AWS Machine Learning Blog

DECEMBER 29, 2022

Now, teams that collect sensor data signals from machines in the factory can unlock the power of services like Amazon Timestream , Amazon Lookout for Equipment , and AWS IoT Core to easily spin up and test a fully production-ready system at the local edge to help avoid catastrophic downtime events. Choose Create Timestream database.

Machine Learning 101

Machine Learning Machine Learning AWS Database 101

Data Science Dojo

MARCH 27, 2023

Windows Failover Clustering is applied in a number of different use cases, including file servers and SQL clusters, as well as Hyper-V. vmsd – This database file contains all the pertinent snapshot information. .vmsn VMware “clustering” is purely for virtualization purposes. The Modified Region Table (.MRT)

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Clustering Database SQL 195