Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Azure 327

Azure Database Analytics Analytics 327

Pickl AI

NOVEMBER 3, 2024

Summary: Pattern matching in SQL enables users to identify specific sequences of data within databases using various techniques such as the LIKE operator and regular expressions. This capability is essential for various applications, from data retrieval to complex event processing.

SQL 52

SQL Database Data Analysis Data Analysis 52

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

Pickl AI

OCTOBER 30, 2024

Summary: Dynamic SQL is a powerful feature in SQL Server that enables the construction and execution of SQL queries at runtime. Introduction Dynamic SQL is a powerful programming technique that allows developers to construct and execute SQL statements at runtime. What is Dynamic SQL?

SQL 52

SQL Database Data Science Artificial Intelligence 52

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

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 Models 245

Data Models Data Modeling 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.

SQL 118

SQL Database AWS Machine Learning 118

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 122

Database SQL Data Analysis Data Analysis 122

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

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. Use Amazon Athena SQL queries to provide insights.

AWS 109

AWS AI AI SQL 109

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

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

ODSC - Open Data Science

JUNE 10, 2025

Talk 1: Real-Time Data Streams and Accurate SQL Automation The Challenge: Democratizing Data Access One of the key hurdles in data-driven organizations is making data accessible to non-technical users. Many employees and even customers struggle with writing complex SQL queries. Incorporate rigorous prompt testing to eliminate errors.

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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 168

SQL Database AWS Machine Learning 168

Pickl AI

APRIL 7, 2025

Summary: Advanced SQL techniques empower data professionals to handle complex queries and optimize Data Analysis. SQL (Structured Query Language) remains the cornerstone of database management and Data Analysis. Common Table Expressions enhance readability and organization in SQL statements.

SQL 52

SQL Database Data Analysis Data Analysis 52

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.

Database 98

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 Business Intelligence Business Intelligence 94

AWS Machine Learning Blog

NOVEMBER 26, 2024

Now, consider a different scenario: an AI assistant, designed to assist back desk agents at this travel company, uses an LLM to translate natural language queries into SQL commands. We need every user request mapped accurately to its corresponding SQL command, leaving no room for error. Precision is key here.

AWS 127

AWS Machine Learning Machine Learning AI 127

Pickl AI

APRIL 21, 2025

Summary: Mastering date format sql is crucial for accurate data storage and retrieval. Introduction In the world of databases, dates are everywhere. Introduction In the world of databases, dates are everywhere. Use native SQL date/time data types instead of strings for better performance. What is SQL Date Format?

SQL 52

SQL Database Data Analyst Data Quality 52

AWS Machine Learning Blog

NOVEMBER 26, 2024

SOC analysts continuously monitor security events, investigate potential threats, and take appropriate action to mitigate risks. Given a database schema, the model is provided with three examples pairing a natural-language question with its corresponding SQL query. Let’s dive into the details of each task.

Machine Learning 102

Machine Learning Machine Learning SQL ML 102

AWS Machine Learning Blog

FEBRUARY 18, 2025

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. Amazon Bedrock Agents facilitates interaction with internal systems such as databases and Amazon Elastic Compute Cloud (Amazon EC2) instances and external systems such as Jira and Datadog.

AWS 74

AWS Database ETL AI 74

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

Dataconomy

MAY 29, 2025

Nature and significance of transactions Transactions are not merely standalone events; they are sequences of related activities that represent a logical unit of work. Management of transactional data The management of transactional data is primarily handled through Relational Database Management Systems (RDBMS).

Database 91

Database SQL 91

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 115

AWS K-nearest Neighbors Clustering Algorithm 115

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

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 134

SQL AWS AI AI 134

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.

AWS 133

AWS SQL Database AI 133

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 Models Data Modeling Algorithm 64

Flipboard

JUNE 9, 2025

What to build : Develop a script that pulls data from a source (spreadsheet, database, or API), generates a report, and emails it to a predefined list of recipients on a schedule. Email Report Generator Why its useful : If you regularly compile and send data reports via email, this automation can cut your workload substantially.

Python 65

Python Natural Language Processing Data Science Machine Learning 65

AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. This event-driven architecture provides immediate processing of new documents.

AWS 112

AWS Database AI AI 112

phData

JUNE 5, 2025

Developers can benefit from a file-based development approach to implement business logic in Python, Snowpark, SQL, JavaScript, etc. Vendors can also rely on features like Billing Events and event sharing to monetize app usage, provide support, and troubleshoot the apps.

Database 52

Database Azure AWS SQL 52