Data Science Dojo

OCTOBER 31, 2024

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Programming Questions Data science roles typically require knowledge of Python, SQL, R, or Hadoop. Their role is crucial in understanding the underlying data structures and how to leverage them for insights.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Smart Data Collective

DECEMBER 13, 2021

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. It should go without saying that your strategy for monitoring your SQL Server is as much a proactive plan as it is a reactive one.

SQL 126

SQL Database 126

Data Science Blog

NOVEMBER 15, 2023

The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg. SAP ERP), the extraction of the data and, above all, the data modeling for the event log. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

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 116

SQL Database AWS Machine Learning 116

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

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

Flipboard

NOVEMBER 27, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL, business intelligence (BI), and reporting tools. dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

ETL 138

ETL Data Warehouse Analytics Analytics 138

Hacker News

JUNE 4, 2023

According to chat gpt a dry run : "Refers to a rehearsal or practice session conducted in a simulated or controlled environment to test the execution of a process, system, or event without actually.

SQL 121

SQL 121

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

databricks

JUNE 14, 2023

It's been only 18 months since we announced Databricks SQL general availability - the serverless data warehouse on the Lakehouse - and we.

SQL 130

SQL Data Warehouse AI AI 130

IBM Journey to AI blog

MAY 31, 2023

Register for the free, virtual event What is Presto? Presto is an open-source, fast and reliable SQL query engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse.

SQL 98

SQL Analytics Analytics AI 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

IBM Journey to AI blog

APRIL 2, 2024

A messaging queue technology is essential for businesses to stay afloat, but building out event-driven architecture fueled by messaging might just be your x-factor. The core of building this real-time responsiveness lies in messaging, but its value can be expanded through event-driven architectures.

Apache Kafka 75

Apache Kafka Clustering SQL AI 75

Data Science Dojo

JANUARY 27, 2023

In this scenario, a unified environment to deal with the quick data ingestions from various sources to various destinations would be great to tackle the mentioned challenges.  Methodology of Airbyte  Airbyte leverages DBT (data build tool) to manage and create SQL code that is used for transforming raw data in the destination.

Azure 343

Azure Data Science Data Pipeline Data Engineering 343

Hacker News

JANUARY 31, 2025

Last year I released a tool called syscallargs that walked through the Linux /sys/kernel/debug/tracing/events/syscalls directory tree and allowed you to query and list available system calls in your current system from the command line. Linux, Oracle, SQL performance tuning and troubleshooting - consulting & training.

SQL 112

SQL 112

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

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 133

SQL AWS AI AI 133

Data Science 101

FEBRUARY 29, 2020

Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. The event is Monday, March 2, 2020 at 9am PST. It is now generally available (GA).

Cloud Data 106

Cloud Data Data Science SQL Deep Learning 106

Pickl AI

JULY 27, 2023

What is SQL? SQL stands for Structured Query Language. SQL allows users to interact with databases by performing tasks such as querying data, inserting, updating, and deleting records, creating and modifying database structures, and controlling access to the data. Views: SQL allows the creation of virtual tables known as views.

SQL 52

SQL Database Azure Data Science 52

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

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. Analyst Notes Database Knowledge base containing reports from Analysts on their interpretation and analyis of economic events. What caused inflation in 2021?

Database 120

Database SQL Data Analysis Data Analysis 120

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

Towards AI

SEPTEMBER 4, 2023

experimental.chat(streaming=True)class StreamingSQLChat: """ You are a sql assistant. You are helping a user to write a sql query. You should first know what sql syntax the user wants to use. If the user says something that is completely not related to SQL, you should say "I don't understand.

SQL 105

SQL AI AI Machine Learning 105

AWS Machine Learning Blog

FEBRUARY 13, 2025

Amazon Simple Queue Service (Amazon SQS) Amazon SQS is used to queue events. It consumes one event at a time so it doesnt hit the rate limit of Cohere in Amazon Bedrock. The SQL code for that is as follows: SELECT * FROM ( SELECT feed_articles.id Amazon RDS Proxy Amazon RDS Proxy is used for connection pooling.

AWS 114

AWS K-nearest Neighbors Clustering Algorithm 114

Data Science Dojo

AUGUST 27, 2024

They might find that it’s because of a popular deal or event on Tuesdays. Python, R, and SQL: These are the most popular programming languages for data science. Python, R, and SQL: These are the most popular programming languages for data science. Programming Skills Think of programming as the detective’s notebook.

Data Scientist 273

Data Scientist Data Science Machine Learning Machine Learning 273

Women in Big Data

FEBRUARY 27, 2024

Women in Big Data, collaborating with DataCamp Donates, hosted our monthly event to showcase the progress of our DataCamp Donates participants and furnish them with supplementary information. Here, practical demonstrations of technical prowess, such as SQL or Python proficiency, serve as a cornerstone for assessment.

SQL 52

SQL Big Data Big Data Analytics 52

AWS Machine Learning Blog

MAY 30, 2024

The prompts are managed through Lambda functions to use OpenSearch Service and Anthropic Claude 2 on Amazon Bedrock to search the client’s database and generate an appropriate response to the client’s business analysis, including the response in plain English, the reasoning, and the SQL code. A user sends a question (NLQ) as a JSON event.

AWS 131

AWS SQL Database AI 131

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

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. Spark provides APIs for SQL queries (Spark SQL), real-time stream processing (Spark Streaming), machine learning (MLlib), and graph processing (GraphX).

Apache Kafka 142

Apache Kafka SQL Clustering Data Pipeline 142

AWS Machine Learning Blog

JUNE 6, 2023

Currently, there are several ways to access features in the offline store, including running SQL queries with Amazon Athena or using Spark SQL in Apache Spark. However, these patterns require writing ad hoc (and sometimes complex) SQL statements, which isn’t always suitable for the data scientist persona.

Machine Learning 98

Machine Learning Machine Learning Python SQL 98

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

Data Science 101

FEBRUARY 15, 2020

Azure Cognitive Services Named Entity Recognition gets some new types Persontype, product, event, organization, date are just some of them Amazon Aurora PostgreSQL Supports Machine Learning Aurora PostgreSQL can now use SQL to call ML models created with SageMaker. Go to BiqQuery Challenge to see this week’s challenge.

Cloud Data 112

Cloud Data Data Science Deep Learning Deep Learning 112

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

Data Science Dojo

SEPTEMBER 11, 2024

Synapse Real-Time Intelligence: Real-Time Intelligence in Synapse provides a robust solution to gain insights and visualize event-driven scenarios and streaming data logs. Let’s use SQL operations on this delta table to see if the table is stored. Now, we can save the data as delta tables to use later for sales analytics.

Power BI 222

Power BI Data Pipeline Data Warehouse Data Engineering 222

Data Science Blog

SEPTEMBER 3, 2024

Dabei darf gerne in Erinnerung gerufen werden, dass Process Mining im Kern eine Graphenanalyse ist, die ein Event Log in Graphen umwandelt, Aktivitäten (Events) stellen dabei die Knoten und die Prozesszeiten die Kanten dar, zumindest ist das grundsätzlich so. Es handelt sich dabei also um eine Analysemethodik und nicht um ein Tool.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

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 156

Database SQL Python AI 156

Tableau

DECEMBER 17, 2020

Anytime that an event is happening on Tableau, Tableau is sending an HTTP POST request to the external server. Once the external server is receiving the request, it can respond to the event. Tableau users want to be notified on Slack when an event is happening on Tableau. But what is happening when the Webhook fails?

Tableau 105

Tableau SQL Data Scientist Analytics 105