Analytics Vidhya

MAY 17, 2022

Introduction on SQL? The SQL (Structured Query Language) programming language is used to store, manipulate, and query information that is stored in relational databases. SQL first appeared in 1974 when a group at IBM created a prototype for a relational database. Relational Software (later […].

SQL 209

SQL Database Data Science Analytics 209

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. Through this guide, we give you a larger picture to get started with your database journey.

Database 195

Database SQL Data Science Business Intelligence 195

Analytics Vidhya

AUGUST 16, 2022

Introduction As an SQL Developer, you regularly work with enormous amounts of data stored in different tables that are present inside databases. This often becomes difficult to extract the information if it is not organized properly. This article was published as a part of the Data Science Blogathon.

Database 231

Database SQL Data Science Analytics 231

Dataversity

MARCH 5, 2024

In the realm of database management, particularly with Microsoft SQL Server, understanding and optimizing complex queries is crucial for maintaining system performance and efficiency. This blog post […] The post Mastering Microsoft SQL Server: Analyzing and Optimizing Complex Queries appeared first on DATAVERSITY.

SQL 105

SQL Database Analytics Analytics 105

Towards AI

APRIL 22, 2024

Items in your shopping carts, comments on all your posts, and changing scores in a video game are examples of information stored somewhere in a database. Which begs the question what is a database? Types of Databases: There are many different types of databases.

Database 83

Database SQL Clustering Big Data 83

Analytics Vidhya

JANUARY 19, 2022

Introduction According to the Bureau of Labor Statistics, the job outlook for computer and information research scientists, data scientists is projected to grow by at least 19 per cent by 2026. The post SQL: A Full Fledged Guide from Basics to Advance Level appeared first on Analytics Vidhya. Data […].

SQL 335

SQL Data Scientist Data Science Analytics 335

Analytics Vidhya

AUGUST 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Pretty much everything or all sorts of information available online is. The post What is relational about Relational Databases? appeared first on Analytics Vidhya.

Database 314

Database Data Science Analytics Analytics 314

Towards AI

MARCH 29, 2024

Best AI SQL Query Tools Want to quickly get answers from your database? It’s an open-source tool that helps you generate SQL to let the data speak for itself. Imagine how convenient it would be if there were a tool that allowed you to communicate with your database as easily as chatting. First, the open-source mode.

SQL 91

SQL AI AI Database 91

Dataconomy

AUGUST 7, 2023

Artificial intelligence is no longer fiction and the role of AI databases has emerged as a cornerstone in driving innovation and progress. An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications.

Database 168

Database AI AI ML 168

Hacker News

JUNE 1, 2023

Information technology — Database languages SQL — Part 2: Foundation (SQL/Foundation)

SQL 94

SQL Database 94

Dataversity

MARCH 26, 2024

Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration.

Data Lakes 64

Data Lakes AWS SQL ETL 64

Dataconomy

MAY 27, 2024

The best of these decentralized storage platforms enable consumers to securely store their information and access it whenever and however they wish – without relinquishing ownership to third parties with ulterior motives. Conclusion Bringing about a new era of user privacy won’t just be the responsibility of technologists, of course.

Data Warehouse 213

Data Warehouse Database SQL Analytics 213

Dataversity

AUGUST 29, 2022

The post When and Why to Use SQL for Database Analysis appeared first on DATAVERSITY. The market for products and tools that help us deal with data is on a rising trajectory, predicted to reach $103 billion by 2027. One of the leading methods […].

SQL 52

SQL Database 52

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 75

Database SQL Python Data Scientist 75

Data Science Dojo

MAY 1, 2023

The package is particularly well-suited for working with tabular data, such as spreadsheets or SQL tables, and provides powerful data cleaning, transformation, and wrangling capabilities. Seaborn Seaborn is a library for creating attractive and informative statistical graphics in Python.

Python 329

Python Machine Learning Machine Learning Data Science 329

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 109

SQL Database 109

Dataversity

MAY 1, 2024

Structured query language (SQL) is now 50 years old. The original paper for SQL (then called SEQUEL) was published in May 1974 by Raymond Boyce and Donald Chamberlin, and provided a guide for data manipulation based on a set of simple commands.

SQL 59

SQL Database AI AI 59

Pickl AI

APRIL 10, 2023

SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Dataversity

NOVEMBER 30, 2023

There’s a compelling rationale for SQL Server not being the easiest pick for Kubernetes containerization initiatives. SQL Server environments are often characterized as formidable entities, known for their substantial scale and tendency to consume a significant portion of budget resources.

SQL 75

SQL Database 75

Smart Data Collective

DECEMBER 21, 2021

Integrating AI into databases is the future for making big data useful to businesses. Customer likes and dislikes Consumer habits Activities or actions within an application Social media activity Product reviews Loyalty or reward data Online profile information. Databases in the Big Data Era. megabytes of data every second.

Big Data 129

Big Data Big Data Artificial Intelligence Artificial Intelligence 129

Dataversity

OCTOBER 11, 2022

Microsoft SQL Server is a critical database server for software developers, helping to store and retrieve data that other software applications request. That’s why SQL Server developers are in such high demand – and command average salaries close to six figures.

SQL 52

SQL Database 52

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. They have a propensity to generate misleading or completely false information, a phenomenon known as ‘hallucination’.

SQL 52

SQL Database Natural Language Processing Data Analyst 52

Pickl AI

APRIL 12, 2023

Introduction Structure Query Language (SQL) is one of the critical programming languages that is used for managing & manipulating data in relational databases. Subqueries for filtering data Subqueries in SQL are potent tools that help programmers establish nested relationships between different attributes.

Data Analyst 59

Data Analyst SQL Database Data Analysis 59

phData

DECEMBER 7, 2023

In our previous article on Retrieval Augmented Generation (RAG), we discussed the need for a Vector Database to retrieve additional information for our prompts. Today, we will dive into the inner workings of a Vector Database to better understand exactly how this technology functions. What is a Vector Database in Simple Terms?

Database 52

Database Natural Language Processing Clustering SQL 52

Analytics Vidhya

FEBRUARY 22, 2023

Introduction Data replication is also known as database replication, which is copying data to ensure that all information remains consistent across all data resources in real-time. data replication is like a safety net that keeps your information safe from disappearing or falling through the cracks. In most cases, data alters.

Database 295

Database Analytics Analytics SQL 295

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making. Imagine this: we collect loads of data, right?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Dataversity

MAY 12, 2021

Historically, databases were like digital filing cabinets, not sources for marketing information and new business opportunities. The post How to Work with Modern Databases appeared first on DATAVERSITY. Today, we gather data at a seemingly manic pace – and as quickly as it’s collected, it’s analyzed and parsed.

Database 98

Database SQL 98

Dataversity

JUNE 27, 2022

A cloud database runs on a cloud computing platform that delivers it to users as a service. Cloud services offer various cloud databases, including SQL and NoSQL databases. The post Open-Source Cloud Databases: Security Best Practices appeared first on DATAVERSITY.

Database 52

Database Cloud Computing SQL 52

Data Science Dojo

FEBRUARY 9, 2023

A data analyst is a professional who uses data to inform business decisions. They process and analyze large sets of data to identify trends, patterns, and insights that can help organizations make more informed decisions. Uses of Power BI for a Data Analyst – Data Science Dojo Who is a data analyst?

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

Data Science Dojo

MARCH 29, 2024

Often, they provide unreliable information or guess answers to questions they don’t understand—guesses that can be completely wrong. Retrieval-Augmented Generation ( RAG ) offers a viable solution, enabling LLMs to access up-to-date, relevant information, and significantly improving their responses. How do we tackle this problem?

Database 221

Database Clustering SQL Machine Learning 221

Data Science Dojo

MARCH 8, 2024

With the rapidly evolving technological world, businesses are constantly contemplating the debate of traditional vs vector databases. In today’s digital world, businesses must make data-driven decisions to manage huge sets of information. Rules are put in place by databases to ensure data integrity and minimize redundancy.

Database 370

Database Natural Language Processing Clustering SQL 370

Analytics Vidhya

JUNE 6, 2023

Database Management Systems (DBMS) are indispensable in today’s data-driven world. They serve as the backbone of information management by enabling efficient storage, retrieval, manipulation, and organization of vast amounts of data.

Database 234

Database Analytics Analytics SQL 234

Data Science Dojo

MAY 10, 2023

As the volume and complexity of data continue to surge, the demand for skilled professionals who can derive meaningful insights from this wealth of information has skyrocketed. They require strong programming skills, expertise in data processing, and knowledge of database management.

Data Science 368

Data Science Database Administration Data Scientist Machine Learning 368

Data Science Connect

JANUARY 27, 2023

Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases. Understanding how to write efficient and effective SQL queries is essential.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Towards AI

MARCH 11, 2024

In the context of web applications, a cache is a fast, low-latency database (DB) that temporarily stores commonly accessed data. When the app requires some information, it will first check if the cache has it, and if so, directly use the data from the cache. A typical web application might use a NoSQL database like Redis as a cache.

Database 77

Database AI AI SQL 77

Mlearning.ai

FEBRUARY 13, 2023

Welcome to the wild, wacky world of databases! But with so many types of databases to choose from, how do you know which one is right for you? Databases are like different tools in a toolbox — each designed for a different need Picture a toolbox filled with different tools, each designed for a specific task. and let’s dive in!

Database 52

Database Data Modeling Data Models SQL 52

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 Database Machine Learning 370