Data Science Dojo

MARCH 10, 2023

Among the plethora of programming languages , we have SQL. Also known as Structured Query Language, SQL is a programming language widely used for managing data stored in relational databases. In this guide, we will highlight the top basic SQL commands that every developer should be familiar with. What is SQL?

SQL 195

SQL Database 195

Pickl AI

MARCH 21, 2025

Summary: SQL commands list in DBMS help manage databases efficiently. Learn how to create, modify, retrieve, and secure data using SQL. Take your SQL skills to the next level with Pickl.AIs Data Science courses. In simple words, SQL ( Structured Query Language ) is used to manage and organise data in databases.

SQL 52

SQL Database Data Science Database Administration 52

AWS Machine Learning Blog

APRIL 16, 2024

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

SQL 117

SQL AWS Database Data Scientist 117

Dataconomy

SEPTEMBER 16, 2024

The SQL language, or Structured Query Language, is essential for managing and manipulating relational databases. Introduction to SQL language SQL language stands for Structured Query Language. The primary purpose of the SQL language is to enable easy interaction with a Database Management System (DBMS).

SQL 103

SQL Database Data Analyst Database Administration 103

Analytics Vidhya

JULY 29, 2024

Topics range from basic definitions to complex query optimization. MySQL is a key tool in data management and analytics. This guide presents over 30 MySQL interview questions, covering both theory and practical skills.

Analytics 299

Analytics Analytics Database SQL 299

Tableau

AUGUST 29, 2024

Let Tableau write your SQL for you—your dashboard consumers will thank you for it I recently saw a post on LinkedIn where a Tableau expert asked his network how often people used custom SQL in Tableau. This set of answers does not definitively represent the entirety of the Tableau Community, of course. Small data sets.

Tableau 96

Tableau SQL Data Modeling Data Models 96

Analytics Vidhya

JUNE 6, 2023

Beyond data storage, DBMS performs crucial functions such as data definition, manipulation, administration, and security. They serve as the backbone of information management by enabling efficient storage, retrieval, manipulation, and organization of vast amounts of data. appeared first on Analytics Vidhya.

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Database Analytics Analytics SQL 291

Data Science Dojo

APRIL 6, 2023

While Python and R are popular for analysis and machine learning, SQL and database management are often overlooked. However, data is typically stored in databases and requires SQL or business intelligence tools for access. They use Structured Query Language (SQL) for managing and querying data. What is SQL?

Database 195

Database SQL Data Science Business Intelligence 195

Pickl AI

AUGUST 5, 2024

Summary : Data Definition Language (DDL) is a subset of SQL focuse on defining and managing database structures. Introduction Data Definition Language (DDL) is a crucial subset of SQL (Structured Query Language) use for defining and managing the structure of databases. What is Data Definition Language?

Database 52

Database SQL Database Administration 52

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

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

Pickl AI

JANUARY 25, 2023

The easiest skill that a Data Science aspirant might develop is SQL. This blog would an introduction to SQL for Data Science which would cover important aspects of SQL, its need in Data Science, and features and applications of SQL. What is SQL? The full form of SQL stands for Structured Query Language.

SQL 52

SQL Data Science Database Data Analysis 52

Pickl AI

AUGUST 5, 2024

Summary: SQL aggregate functions, including COUNT(), SUM(), AVG(), MIN(), and MAX(), are vital for summarising and analysing large datasets. Introduction SQL , or Structured Query Language, is a powerful tool for managing and manipulating databases. What are SQL Aggregate Functions? Read: Introduction to MySQL.

SQL 52

SQL Data Analysis Data Analysis Database 52

Pickl AI

FEBRUARY 6, 2023

Preparing for the SQL interview questions to become more proficient in data science with example questions and a framework for answering them. Amongst the different tools that data scientists must have in their arsenal, SQL holds a special significance. This phase of the interview demands you to address real-world problems using SQL.

SQL 52

SQL Data Analyst Data Science Database 52

AWS Machine Learning Blog

FEBRUARY 12, 2025

For this post, we use a dataset called sql-create-context , which contains samples of natural language instructions, schema definitions and the corresponding SQL query. We send the following input: You are a text to SQL query translator. Here's the SQL query: ``sql SELECT t1.time name AND t2.heat

AI 80

AI AI AWS SQL 80

Smart Data Collective

JANUARY 9, 2023

Structured Query Language (SQL). When it comes to industry standards for creating corporate databases, SQL is one of the most popular programming languages utilized by organizations. SQL is a query language, which means it retrieves or changes information from a database through queries.

Database 112

Database SQL Python Data Scientist 112

Hacker News

SEPTEMBER 10, 2023

For example, to generate a first draft of a Python script, to write a SQL INSERT/UPDATE trigger, or giving me a sed regular expression that removes the initial time stamp (when present) from log lines. But it is definitely worthwhile to once in a while examine your beliefs about how to develop software. I don’t know.

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SQL Python 176

Pickl AI

NOVEMBER 4, 2024

In this blog, we will explore ODBC in detail, including its definition, types of ODBC drivers, how to choose the right driver, setup procedures, troubleshooting common issues, and more. Developed by Microsoft in 1992, ODBC allows applications to execute SQL queries and retrieve results regardless of the underlying database system.

Database 52

Database SQL Data Science Artificial Intelligence 52

Smart Data Collective

APRIL 14, 2021

It also allows you to create your data and creating consistent dataset definitions using LookML. With this tool, analysts are able to visualize complex data models in Python, SQL, and R. This highly flexible and modern SQL editor comes bundled with an easy-to-use, attractive interface.

Business Intelligence 138

Business Intelligence Business Intelligence Tableau SQL 138

The MLOps Blog

MARCH 21, 2023

Your data scientists develop models on this component, which stores all parameters, feature definitions, artifacts, and other experiment-related information they care about for every experiment they run. I have worked with customers where R and SQL were the first-class languages of their data science community. AIIA MLOps blueprints.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

AWS Machine Learning Blog

NOVEMBER 1, 2024

We discuss the important components of fine-tuning, including use case definition, data preparation, model customization, and performance evaluation. These tasks include summarization, classification, information retrieval, open-book Q&A, and custom language generation such as SQL. Sonnet across various tasks.

Data Preparation 96

Data Preparation Machine Learning Machine Learning ML 96

Smart Data Collective

APRIL 14, 2020

So, despite the fact that the data science field welcomes candidates with a graduate degree, a Master’s will definitely increase your chances of success. 74% of the cohort uses Python, 56% are proficient in R, and 51% have good command of SQL. In terms of popuarity, SQL has grown by 40% since 2019 (36%), thus moving closer to R.

Data Scientist 113

Data Scientist Data Science SQL Python 113

Data Science Blog

NOVEMBER 15, 2023

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. So whenever you hear that Process Mining can prepare RPA definitions you can expect that Task Mining is the real deal.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

phData

JULY 4, 2024

Because it runs Snowflake SQL from an easy-to-use, code-first GUI interface, it can take advantage of everything Snowflake offers, even if the feature is brand new. To create a UDN, we’ll need a node definition that defines how the node should function and templates for how the object will be created and run.

SQL 52

SQL Data Pipeline Data Engineering Data Engineering 52

Towards AI

JULY 20, 2023

I thought completing grad school and finding a job will help me to find my passion, it has definitely made me happy but I am far from finding my passion. I have also found opportunities within my company to develop my analytical skills (SQL, data viz, business case, scripting).

Data Science 98

Data Science SQL Data Scientist Algorithm 98

AWS Machine Learning Blog

JUNE 13, 2023

The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

Database 90

Database SQL AWS AI 90

ODSC - Open Data Science

FEBRUARY 2, 2023

Much of what we found was to be expected, though there were definitely a few surprises. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. As you’ll see in the next section, data scientists will be expected to know at least one programming language, with Python, R, and SQL being the leaders.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

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

Dataconomy

JUNE 1, 2023

Cost efficiency : Power BI can directly leverage data stored in OneLake, eliminating the need for separate SQL queries and reducing costs associated with data processing. This allows for faster data access and eliminates the need for redundant SQL queries, resulting in improved performance and reduced processing time.

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Power BI Data Lakes Azure Data Silos 194

phData

SEPTEMBER 26, 2023

According to Microsoft, when you are designing a paginated report, you are creating a report definition that specifies where to get the data (i.e., The report definition is a template for your report’s look and how you want it to work. Then, when an end user runs the report, that definition/template is populated with data.

Power BI 64

Power BI SQL Azure Database 64

Tableau

JULY 29, 2021

Through this program, students learn to perform powerful data analysis and drive business decisions using Tableau, SQL, and spreadsheets. a candidate came through with these types of skills and experiences on their resume, I would definitely consider them for an interview."

Tableau 98

Tableau Data Analyst Revenue Operations Analyst SQL 98

Tableau

AUGUST 6, 2024

It is essentially a translator of SQL queries that traditionally return numbers and tables into an effortless visual analysis.” Along with the Desktop/Web Authoring interface, it allows users with little or no experience with SQL to create beautiful visualizations and find actionable insights right away.

Tableau 141

Tableau SQL Data Scientist Python 141

AWS Machine Learning Blog

APRIL 17, 2023

For scenarios where you need to add your own custom scripts for data transformations, you can write your transformation logic in Pandas, PySpark, PySpark SQL. With the Data Wrangler custom transform capability, you can write your transformation logic in Pandas, PySpark, PySpark SQL. After notebook files (.ipynb)

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AWS ML ML Python 99

Towards AI

JULY 17, 2024

Back during my time as CTO of Locally, I was introduced to GraphDB as a mechanism for defining and discovering relationships between data, even using it as a simple definition store, it allows for depth and breadth-first searches to help discover relationships that might not have been explicitly defined.

Database 111

Database Data Modeling Data Models SQL 111

phData

SEPTEMBER 7, 2023

Over the last month, we’ve been heavily focused on adding additional support for SQL translations to our SQL Translations tool. Specifically, we’ve been introducing fixes and features for our Microsoft SQL Server to Snowflake translation. Let’s dive in! Let’s take a look at some of the more interesting translations.

SQL 52

SQL Data Profiling Data Pipeline Database 52

phData

MARCH 1, 2023

The first one we want to talk about is the Toolkit SQL analyze command. When customers are looking to perform a migration, one of the first things that needs to occur is an assessment of the level of effort to migrate existing data definition language (DDL) and data markup language (DML). Fixed the Execute dynamic sql statement.

SQL 52

SQL Data Pipeline Data Quality Database 52

Hacker News

JULY 18, 2023

If you skip one of these steps, performance might be poor due to network overhead, or you might run into distributed SQL limitations. Queries and transactions that span multiple schemas may also be slower than on a single PostgreSQL node, and may incur certain SQL limitations. metric = alerts. metric ) where row_number m. alert_id , m.

Database 123

Database SQL Data Modeling Data Models 123