Smart Data Collective

AUGUST 23, 2022

This entails using SQL servers appropriately. One of the things that you need to understand while running a data-driven company is how to use drop tables with SQL servers. This article shows how you can drop tables in SQL Server using a variety of different methods and applications. Creating a Dummy Database.

SQL 105

SQL Big Data Big Data Database 105

Dataconomy

JANUARY 31, 2025

DeepSeek, the trending Chinese artificial intelligence (AI) startup, recently exposed one of its databases on the internet, potentially allowing unauthorized access to sensitive data. The exposed ClickHouse database provided full control over its operations, according to Wiz security researcher Gal Nagli. com:9000 and dev.deepseek[.]com:9000,

Database 113

Database Artificial Intelligence SQL Artificial Intelligence 113

AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation.

SQL 135

SQL AWS Database ML 135

AWS Machine Learning Blog

AUGUST 1, 2024

In this post, we demonstrate the process of fine-tuning Meta Llama 3 8B on SageMaker to specialize it in the generation of SQL queries (text-to-SQL). Solution overview We walk through the steps of fine-tuning an FM with using SageMaker, and importing and evaluating the fine-tuned FM for SQL query generation using Amazon Bedrock.

SQL 125

SQL AWS ML ML 125

Pickl AI

NOVEMBER 4, 2024

Summary: This article provides a comprehensive overview of ODBC types, explaining their significance in database connectivity. Understanding these types helps developers choose the right driver for their applications, ensuring optimal performance and compatibility with different database systems. What is ODBC?

Database 52

Database SQL Data Science Artificial Intelligence 52

Flipboard

DECEMBER 11, 2024

Data processing and SQL analytics Analyze, prepare, and integrate data for analytics and AI using Amazon Athena, Amazon EMR, AWS Glue, and Amazon Redshift. With the SQL editor, you can query data lakes, databases, data warehouses, and federated data sources. There are two dropdown menus on the top left of each cell.

SQL 160

SQL AWS Data Lakes ML 160

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 Data Science in Practice

JANUARY 13, 2025

The source data is unstructured JSON, while the target is a structured, relational database. In the past year, the serverless pipelines were constrained by the size of the source database. Database size limits of 10GB. Loading huge Databases requires manualslicing. No parallel processing. Hosted Query EngineLimits.

ETL 100

ETL Data Pipeline Database Data Warehouse 100

Tableau

MARCH 30, 2021

we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. Azure SQL Database. Many customers rely on Azure SQL Database as a managed, cloud-hosted version of SQL Server. Kristin Adderson.

Azure 102

Azure Tableau Data Lakes SQL 102

AWS Machine Learning Blog

OCTOBER 24, 2024

Basic knowledge of a SQL query editor. Database name : Enter dev. Database user : Enter awsuser. You can now view the predictions and download them as CSV. A provisioned or serverless Amazon Redshift data warehouse. For this post we’ll use a provisioned Amazon Redshift cluster. A SageMaker domain. Choose Add connection.

Data Warehouse 112

Data Warehouse Machine Learning Machine Learning Cloud Data 112

AWS Machine Learning Blog

DECEMBER 11, 2024

We work backward from the customers business objectives, so I download an annual report from the customer website, upload it in Field Advisor, ask about the key business and tech objectives, and get a lot of valuable insights. I then use Field Advisor to brainstorm ideas on how to best position AWS services.

AWS 101

AWS Database AI AI 101

phData

SEPTEMBER 12, 2023

Collecting SQL from various databases is often a challenging and time-consuming process since schemas and syntaxes pretty much always vary across different databases. In this blog, we’ll explore this new functionality in greater detail and touch on a few other tools within the phData Toolkit that can help gather and analyze SQL.

SQL 52

SQL Database 52

Towards AI

FEBRUARY 29, 2024

Install Java and Download Kafka: Install Java on the EC2 instance and download the Kafka binary: 4. 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.

Apache Kafka 142

Apache Kafka SQL Clustering Data Pipeline 142

Pickl AI

MARCH 24, 2025

MOLAP (Multidimensional OLAP): MOLAP stores data in a specialized multidimensional database, optimized for fast query performance. ROLAP (Relational OLAP) ROLAP uses the existing relational database as the data source. Queries are translated into SQL statements and executed against the relational database.

Data Analysis 52

Data Analysis Data Analysis Database Analytics 52

Towards AI

APRIL 3, 2024

So if you are familiar with the Standard SQL queries, you are good to go!! The sample data used in this article can be downloaded from the link below, Fruit and Vegetable Prices How much do fruits and vegetables cost? Glue Crawler Setup The next step is setting up a Glue crawler to extract the schema of this file and create a database.

AWS 105

AWS Database ETL Big Data 105

Towards AI

JANUARY 27, 2023

To that end, I started picking up more responsibilities such as managing databases both SQL and NoSQL. He mentioned that his team was trying to download business reports. First, I got access to the data reporting system so that I could download the data from the server logging database.

Exploratory Data Analysis 98

Exploratory Data Analysis Data Analysis Data Analysis EDA 98

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

AWS Machine Learning Blog

NOVEMBER 14, 2024

In this post, we save the data in JSON format, but you can also choose to store it in your preferred SQL or NoSQL database. After uploading, you can set up a regular batch job to process these invoices, extract key information, and save the results in a JSON file. Defaults to "". endswith('.pdf'):

AWS 107

AWS Python AI AI 107

Mlearning.ai

JUNE 17, 2023

At present, there’s a growing buzz around Vector Databases. Vector databases are a vast and complex topic, and discussing them in detail is beyond the scope of this article. In this case, we’ll demonstrate its use for understanding and querying databases. We will download it, and stored on a database for our use.

SQL 52

SQL Database Natural Language Processing ML 52

IBM Journey to AI blog

SEPTEMBER 1, 2023

A Trojan horse is malicious code that tricks people into downloading it by appearing to be a useful program or hiding within legitimate software. Injection Attacks In these attacks, hackers inject malicious code into a program or download malware to execute remote commands, enabling them to read or modify a database or change website data.

SQL 124

SQL Database Internet of Things Machine Learning 124

Smart Data Collective

SEPTEMBER 26, 2021

The raw data can be fed into a database or data warehouse. There are countless implementations to choose from, including SQL and NoSQL databases. A NoSQl database can use documents for the storage and retrieval of data. You don’t necessarily need to download Abode Acrobat to manipulate PDF files.

Database 130

Database Data Visualization Big Data Big Data 130

phData

NOVEMBER 28, 2024

“ Vector Databases are completely different from your cloud data warehouse.” – You might have heard that statement if you are involved in creating vector embeddings for your RAG-based Gen AI applications. Enhanced Search and Retrieval Augmented Generation: Vector search systems work by matching queries with embeddings in a database.

Python 52

Python Database SQL Machine Learning 52

Hacker News

JULY 18, 2023

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? If you skip one of these steps, performance might be poor due to network overhead, or you might run into distributed SQL limitations.

Database 123

Database SQL Data Modeling Data Models 123

phData

FEBRUARY 15, 2023

In this blog, you’ll learn all about our Automated Testing tool including how to leverage it to automatically rerun any number of SQL scripts you’ve written in Matillion to ensure your workflows are working properly. It’s available in the Matillion Exchange portal, which you can download for free.

SQL 52

SQL Database Data Engineering Data Engineering 52

phData

APRIL 5, 2023

As one of the premier cloud-based database tools, it sees usage across virtually every industry and vertical. To get the most out of the Snowflake Data Cloud , however, requires extensive knowledge of SQL and dedicated IT and data engineering teams. So, what exactly are KNIME’s database nodes?

SQL 52

SQL Database Analytics Analytics 52

Hacker News

DECEMBER 19, 2024

And as the data produced by indexing can become large, we want to make it available over the network through a query interface rather than having to download it. Glean can provide this language-neutral view of the data by defining an abstraction layer in the schema itself the mechanism is similar to SQL views if youre familiar with those.

SQL 165

SQL Database Computer Science Computer Science 165

Applied Data Science

AUGUST 2, 2021

Download the free, unabridged version here. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data. Download the free whitepaper for the complete guide to setting up automation across each step of your data science project pipelines.

Data Science 130

Data Science Data Scientist ML ML 130

Pickl AI

JULY 31, 2024

Summary: MySQL is a widely used open-source relational database management system known for its reliability and performance. Overview of MySQL MySQL is one of the most popular relational database management systems (RDBMS) in the world, widely used for managing and organizing data.

SQL 52

SQL Database Clustering Machine Learning 52

AWS Machine Learning Blog

MAY 17, 2023

An existing database within Snowflake. Upload facies CSV data to Snowflake In this section, we take two open-source datasets and upload them directly from our local machine to a Snowflake database. Download the training_data.csv and validation_data_nofacies.csv files to your local machine. Choose Edit in SQL.

ML 95

ML ML AWS Database 95

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. You can use query_string to filter your dataset by SQL and unload it to Amazon S3.

ML 123

ML ML AWS Data Warehouse 123

DagsHub

DECEMBER 11, 2023

Released in 2022, DagsHub’s Direct Data Access (DDA for short) allows Data Scientists and Machine Learning engineers to stream files from DagsHub repository without needing to download them to their local environment ahead of time. This can prevent lengthy data downloads to the local disks before initiating their mode training.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

Smart Data Collective

AUGUST 10, 2021

The software is easy to use and provides the ability to download different file formats. It works with a number of different databases. With that said, a basic understanding of SQL and VB Script can be helpful in leveraging all it has to offer. Another key benefit is that it allows companies to create data visualizations!

Analytics 132

Analytics Analytics Data Science Tableau 132

Dataconomy

SEPTEMBER 15, 2024

SaaS itself is stored in cloud infrastructures, so this means that compared to traditional software you need to download, you can just use SaaS online. Image credit ) API integration and database management APIs are an integral part of most SaaS products. Those interfaces allow different software systems to connect.

Database 103

Database Azure SQL Python 103

Tableau

MARCH 29, 2021

we’ve added new connectors to help our customers access more data in Azure than ever before: an Azure SQL Database connector and an Azure Data Lake Storage Gen2 connector. Azure SQL Database. Many customers rely on Azure SQL Database as a managed, cloud-hosted version of SQL Server. Kristin Adderson.

Azure 52

Azure Tableau Data Lakes SQL 52

Hacker News

JANUARY 21, 2025

However, Strobelight has several safeguards in place to prevent users from causing performance degradation for the targeted workloads and retention issues for the databases Strobelight writes to. This data needs to be downloaded then parsed. Its also powered by a client-side columnar database (written in JavaScript!),

Database 160

Database SQL Python AI 160

phData

AUGUST 25, 2023

The migration of SSRS (SQL Server Reporting Services) reports to Power BI Service marks a significant shift in data visualization and reporting capabilities. During the migration process, existing.rdl reports are pointed to a Snowflake Data Cloud database from an existing data source in Power BI Report Builder.

Power BI 52

Power BI SQL Data Governance Database 52

phData

MARCH 29, 2023

However, many analysts and other data professionals run into two common problems: They are not given direct access to their database They lack the skills in SQL to write the queries themselves The traditional solution to these problems is to rely on IT and data engineering teams. Use KNIME database tools. Understand data types.

Database 52

Database SQL Analytics Analytics 52