Data Science Dojo

APRIL 25, 2023

SQL (Structured Query Language) is an important tool for data scientists. It is a programming language used to manipulate data stored in relational databases. Mastering SQL concepts allows a data scientist to quickly analyze large amounts of data and make decisions based on their findings.

Data Scientist 370

Data Scientist SQL Machine Learning Machine Learning 370

Data Science Dojo

MARCH 8, 2024

With the rapidly evolving technological world, businesses are constantly contemplating the debate of traditional vs vector databases. This blog delves into a detailed comparison between the two data management techniques. In today’s digital world, businesses must make data-driven decisions to manage huge sets of information.

Database 370

Database Natural Language Processing Clustering SQL 370

Analytics Vidhya

AUGUST 25, 2021

This article was published as a part of the Data Science Blogathon Introduction Let’s look at a practical example of how to make SQL queries to a MySQL server from Python code: CREATE, SELECT, UPDATE, JOIN, etc. Most applications interact with data in some form. Therefore, programming languages ??(Python

Data Analysis 291

Data Analysis Data Analysis Python SQL 291

Analytics Vidhya

FEBRUARY 21, 2023

Introduction SQL is a database programming language created for managing and retrieving data from Relational databases like MySQL, Oracle, and SQL Server. SQL(Structured Query Language) is the common language for all databases. In other terms, SQL is a language that communicates with databases.

SQL 260

SQL Database Analytics Analytics 260

Analytics Vidhya

AUGUST 25, 2022

The post Using AWS Athena and QuickSight for Data Analysis appeared first on Analytics Vidhya. This blog post will walk you through the necessary steps to achieve this using Amazon services and tools. Amazon’s perfect combination of […].

Data Analysis 378

Data Analysis Data Analysis AWS Data Science 378

Analytics Vidhya

SEPTEMBER 26, 2024

Introduction In the world of databases, NULL values can often feel like the proverbial black sheep. They represent missing, undefined, or unknown data, and can pose unique challenges in data management and analysis. Imagine you’re analyzing a sales database, and some entries lack customer feedback or order quantities.

SQL 262

SQL Database Analytics Analytics 262

Analytics Vidhya

AUGUST 30, 2022

Whether you’re a small company or a trillion-dollar giant, data makes the decision. But as data ecosystems become more complex, it’s important to have the right tools for the […]. The post Learn Presto & Startburst for Big Data Analysis appeared first on Analytics Vidhya.

Big Data 336

Big Data Big Data Data Analysis Data Analysis 336

Analytics Vidhya

JANUARY 2, 2024

Introduction SQL (Structured Query Language) is a powerful tool for managing and analyzing data in relational databases. It allows users to retrieve, manipulate, and transform data using a set of standardized commands.

SQL 299

SQL Database Analytics Analytics 299

Analytics Vidhya

JUNE 26, 2024

Introduction “Data scientists don’t use databases until they have to.” DuckDB is a desk-oriented database management system (DBMS) that supports the Structured Query Language (SQL). It is an effective and lightweight DBMS that transforms data analysis and analytics of massive datasets.

Analytics 305

Analytics Analytics SQL Database 305

KDnuggets

JULY 3, 2023

Learn about various SQL Analytic functions like RANK(), NTILE(), CUME_DIST() and more to leverage your data analysis skills to the next level.

Analytics 269

Analytics Analytics Database SQL 269

Analytics Vidhya

AUGUST 30, 2024

Introduction As data scales and characteristics shift across fields, graph databases emerge as revolutionary solutions for managing relationships. Unlike relational databases that use tables and rows, graph databases excel in handling complex networks. This article provides […] The post What is Graph Database?

Database 280

Database Analytics Analytics SQL 280

Analytics Vidhya

JUNE 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction on SQL In this article, we will see how to use SQL statements for data analysis. Data analysis can be done on only single tables or on multiple tables.

SQL 370

SQL Data Analysis Data Analysis Data Science 370

Analytics Vidhya

SEPTEMBER 9, 2024

Introduction Mastering SQL (Structured Query Language) is crucial for individuals pursuing data management, data analysis, and database administration. If you are starting as a novice or are a seasoned pro seeking to improve, YouTube provides various tools to assist you in learning SQL at a pace that suits you.

SQL 178

SQL Database Administration Data Analysis Data Analysis 178

Analytics Vidhya

SEPTEMBER 18, 2024

This is similar to denormalization in databases: by intentionally introducing redundancy and simplifying data storage, it speeds up data retrieval and makes complex queries faster and more […] The post What is Denormalization in Databases? appeared first on Analytics Vidhya.

Database 270

Database Analytics Analytics SQL 270

Analytics Vidhya

FEBRUARY 29, 2024

Introduction In the field of modern data management, two innovative technologies have appeared as game-changers: AI-language models and graph databases. AI language models, shown by new products like OpenAI’s GPT series, have changed the landscape of natural language processing.

Database 290

Database Natural Language Processing AI AI 290

Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Analytics Vidhya

JULY 4, 2024

It covers fundamental concepts like DBMS and RDBMS, normalization, and ACID features in addition to more advanced topics like indexing, transactions, joins, and SQL queries. The article also discusses database managers’ duties and […] The post Top 40 DBMS Interview Questions and Answers appeared first on Analytics Vidhya.

SQL 302

SQL Database Analytics Analytics 302

Hacker News

MARCH 14, 2025

How Dust's Query Tables agent tool evolved from parsing CSVs to parsing data warehouses, creating a unified SQL interface for AI data analysis.

Data Warehouse 150

Data Warehouse Database SQL Data Analysis 150

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 powerful feature enhances data analysis, allowing for complex queries that can uncover trends and insights across datasets.

SQL 52

SQL Database Data Analysis Data Analysis 52

Dataconomy

SEPTEMBER 16, 2024

The SQL language, or Structured Query Language, is essential for managing and manipulating relational databases. It has become indispensable for those working with data across various industries. Introduction to SQL language SQL language stands for Structured Query Language. Why learn SQL language?

SQL 103

SQL Database Data Analyst Database Administration 103

insideBIGDATA

SEPTEMBER 18, 2023

Kinetica, the speed layer for generative AI and real-time analytics, announced a native Large Language Model (LLM) combined with Kinetica’s innovative architecture that allows users to perform ad-hoc data analysis on real-time, structured data at speed using natural language.

SQL 244

SQL Data Analysis Data Analysis Analytics 244

Pickl AI

MARCH 24, 2025

Summary: Online Analytical Processing (OLAP) systems in Data Warehouse enable complex Data Analysis by organizing information into multidimensional structures. Key characteristics include fast query performance, interactive analysis, hierarchical data organization, and support for multiple users.

Data Analysis 52

Data Analysis Data Analysis Database Data Warehouse 52

Data Science Dojo

MAY 1, 2023

It supports large, multi-dimensional arrays and matrices of numerical data, as well as a large library of mathematical functions to operate on these arrays. The package is particularly useful for performing mathematical operations on large datasets and is widely used in machine learning, data analysis, and scientific computing.

Python 239

Python Machine Learning Machine Learning Data Science 239

Data Science Dojo

OCTOBER 4, 2024

Data Visualization Techniques: Ability to transform complex data into understandable graphs and charts. Programming Skills: Proficiency in programming languages such as Python, R, Java, and SQL. Statistical and Mathematical Skills: Ability to analyze data and derive meaningful insights.

Computer Science 409

Computer Science Computer Science Database Administration Data Scientist 409

Analytics Vidhya

APRIL 1, 2023

Introduction Google Big Query is a secure, accessible, fully-manage, pay-as-you-go, server-less, multi-cloud data warehouse Platform as a Service (PaaS) service provided by Google Cloud Platform that helps to generate useful insights from big data that will help business stakeholders in effective decision-making.

Data Warehouse 306

Data Warehouse SQL Big Data Big Data 306

Pickl AI

NOVEMBER 5, 2024

JDBC, for Java-specific environments, offers efficient Java-based database connectivity, while ODBC provides a versatile, language-independent solution. Introduction Database connectivity is a crucial link between applications and databases , allowing seamless data exchange. What is JDBC? What is ODBC?

Database 52

Database SQL Python Database Administration 52

Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? OLTP is the backbone of modern data processing, a critical component in managing large volumes of transactions quickly and efficiently. This approach allows businesses to efficiently manage large amounts of data and leverage it to their advantage in a highly competitive market.

Database 159

Database Data Scientist Data Mining Data Mining 159

AWS Machine Learning Blog

NOVEMBER 15, 2024

Oil and gas data analysis – Before beginning operations at a well a well, an oil and gas company will collect and process a diverse range of data to identify potential reservoirs, assess risks, and optimize drilling strategies. Consider a financial data analysis system. What caused inflation in 2021?

Database 113

Database SQL Data Analysis Data Analysis 113

AWS Machine Learning Blog

APRIL 16, 2024

In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them. They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference.

SQL 108

SQL AWS Database Data Scientist 108

Smart Data Collective

JANUARY 9, 2023

For corporations, creating a reliable and easy-to-use corporate database is a vital part of developing and maintaining a smoothly-running operation. From keeping customer information private to ensuring that financial data is safe and secure, corporate databases can play an essential role in a corporation’s ability to succeed.

Database 112

Database SQL Python Data Scientist 112

Analytics Vidhya

MARCH 5, 2023

Introduction Amazon Athena is an interactive query tool supplied by Amazon Web Services (AWS) that allows you to use conventional SQL queries to evaluate data stored in Amazon S3. Athena is a serverless service. Thus there are no servers to operate, and you pay for the queries you perform.

SQL 318

SQL AWS Analytics Analytics 318

Data Science Dojo

MAY 10, 2023

They require strong programming skills, expertise in data processing, and knowledge of database management. Salary Trends – Data engineers can earn salaries ranging from $90,000 to $130,000 per year, depending on their experience and the location of the job.

Data Science 326

Data Science Data Scientist Database Administration Machine Learning 326

Data Science Dojo

FEBRUARY 9, 2023

The role of a data analyst is to turn raw data into actionable information that can inform and drive business strategy. They use various tools and techniques to extract insights from data, such as statistical analysis, and data visualization. Check out this course and learn Power BI today!

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

Smart Data Collective

FEBRUARY 8, 2021

Sometimes, an excessive amount of data can render analysis difficult or not viable at all. Fortunately, there’s a simple, yet effective solution: automatic data analysis. Automatic data analysis compiles your business data and finds insight for you, so you can focus on running the operation.

Data Analysis 113

Data Analysis Data Analysis Analytics Analytics 113

ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

SQL 98

SQL Data Scientist Database Data Science 98

Towards AI

APRIL 2, 2024

Photo by Nathan Dumlao on Unsplash Let’s dive into the world of data analysis. Assuming that you are a data analyst, If not I will help you to become a data analyst by taking you through my experience in the field of data analysis. There is just efficient or inefficient data analysis only.

Data Analysis 102

Data Analysis Data Analysis Data Analyst Power BI 102

Analytics Vidhya

SEPTEMBER 16, 2024

Introduction The STAR schema is an efficient database design used in data warehousing and business intelligence. It organizes data into a central fact table linked to surrounding dimension tables. A major advantage of the STAR […] The post How to Optimize Data Warehouse with STAR Schema?

Data Warehouse 291

Data Warehouse Business Intelligence Business Intelligence Database 291