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. The tables store data in the form of rows and columns.

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Database SQL Clustering Big Data 83

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.

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Smart Data Collective

AUGUST 9, 2022

The issue is that it is difficult to manage data without the right infrastructure. One of the most important things companies need is a database. NoSQL databases are the alternative to SQL databases. What are NoSQL databases and where did they come from? What are the types of NoSQL databases?

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Pickl AI

JUNE 28, 2023

Data is driving most business decisions. In this, data modeling tools play a crucial role in developing and maintaining the information system. Moreover, it involves the creation of a conceptual representation of data and its relationship. Data modeling tools play a significant role in this.

Data Models 52

Data Models Data Modeling Database SQL 52

Tableau

AUGUST 29, 2024

Spencer Czapiewski August 29, 2024 - 9:52pm Kirk Munroe Chief Analytics Officer & Founding Partner at Paint with Data Kirk Munroe, Chief Analytics Officer and Founding Partner at Paint with Data and Tableau DataDev Ambassador, explains the value of using relationships in your Tableau data models. Small data sets.

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Tableau SQL Data Modeling Data Models 52

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.

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Data Science Dojo

MAY 10, 2023

Top 10 Professions in Data Science: Below, we provide a list of the top data science careers along with their corresponding salary ranges: 1. Data Scientist Data scientists are responsible for designing and implementing data models, analyzing and interpreting data, and communicating insights to stakeholders.

Data Science 368

Data Science Database Administration Data Scientist Machine Learning 368

Pickl AI

OCTOBER 21, 2024

Summary: This article highlights the significance of Database Management Systems in social media giants, focusing on their functionality, types, challenges, and future trends that impact user experience and data management. It handles the underlying operations and ensures efficient data processing.

Database 52

Database Apache Kafka Machine Learning Machine Learning 52

Pickl AI

APRIL 10, 2023

Data Analysis is one of the most crucial tasks for business organisations today. 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.

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Data Analyst SQL Data Analysis Data Analysis 52

Cambridge Intelligence

OCTOBER 25, 2023

Visualizing graph data doesn’t necessarily depend on a graph database… Working on a graph visualization project? You might assume that graph databases are the way to go – they have the word “graph” in them, after all. Do I need a graph database? It depends on your project. Unstructured?

Database 64

Database Data Models Data Modeling Algorithm 64

phData

JULY 10, 2024

Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. One of Sigma’s key features is its support for custom SQL queries and CSV file uploads. These tools allow users to handle more advanced data tasks and analyses.

SQL 52

SQL Data Warehouse Data Analysis Data Analysis 52

Data Science Connect

JANUARY 27, 2023

In this blog post, we will be discussing 7 tips that will help you become a successful data engineer and take your career to the next level. 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.

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Data Engineering Data Engineering Data Engineer Data Engineering 130

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Data Science Blog

SEPTEMBER 19, 2023

So why using IaC for Cloud Data Infrastructures? This ensures that the data models and queries developed by data professionals are consistent with the underlying infrastructure. Enhanced Security and Compliance Data Warehouses often store sensitive information, making security a paramount concern.

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Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery.

Database 59

Database Azure SQL Analytics 59

Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. Introduction RDBMS is the foundation for structured data management. These databases store data in tables, which consist of rows and columns.

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Database SQL Big Data Big Data 52

Dataversity

DECEMBER 20, 2021

Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). The post Tales of Data Modelers appeared first on DATAVERSITY. The post Tales of Data Modelers appeared first on DATAVERSITY.

Data Models 98

Data Models Data Modeling Database SQL 98

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

Data Lakes 52

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Smart Data Collective

AUGUST 12, 2022

Organizations that need servers for their databases or cloud computing can’t just go out and buy the first option that presents itself, though. Random Access Memory will help determine how fast a server can process data in different formats, so you don’t want to skimp on this feature. Type of database. MS SQL Server.

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Cloud Computing Database SQL System Architecture 80

Dataversity

JANUARY 18, 2021

So, I had to cut down my January 2021 list of things of importance in Data Modeling in this new, fine year (I hope)! The post 2021: Three Game-Changing Data Modeling Perspectives appeared first on DATAVERSITY. Common wisdom has it that we humans can only focus on three things at a time.

Data Models 98

Data Models Data Modeling Database SQL 98

phData

SEPTEMBER 27, 2024

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52

Mlearning.ai

FEBRUARY 13, 2023

Welcome to the wild, wacky world of databases! to the digital world, you’ll find that these unsung heroes of the digital age are essential for keeping your data organised and secure. But with so many types of databases to choose from, how do you know which one is right for you? The most well-known graph database is Neo4j.

Database 52

Database Data Modeling Data Models Big Data 52

Data Science Dojo

OCTOBER 31, 2024

Top Employers Microsoft, Facebook, and consulting firms like Accenture are actively hiring in this field of remote data science jobs, with salaries generally ranging from $95,000 to $140,000. 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

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!

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Power BI Data Analyst Data Visualization Data Analysis 222

Dataversity

NOVEMBER 21, 2022

The new ISO 39075 Graph Query Language Standard is to hit the data streets in late 2023 (?). If graph databases are standardized pretty soon, what will happen to SQL? Not simply because legacy SQL has a tremendous inertia, but because relational database paradigms […]. The post It’s All About Relations!

SQL 52

SQL Database Data Models Data Modeling 52

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

SEPTEMBER 20, 2024

Summary: Apache Cassandra and MongoDB are leading NoSQL databases with unique strengths. Introduction In the realm of database management systems, two prominent players have emerged in the NoSQL landscape: Apache Cassandra and MongoDB. Flexible Data Model: Supports a wide variety of data formats and allows for dynamic schema changes.

Database 52

Database Clustering Data Modeling Data Models 52

Tableau

APRIL 3, 2023

With the Tableau connector for Google BigQuery (JDBC), users can easily create Tableau visualizations and dashboards from their BigQuery data without the need to export it to a local file or another database. Initial SQL Google BigQuery (JDBC) supports Initial SQL. Read more about Initial SQL on our Help page.

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phData

SEPTEMBER 26, 2023

Sources The sources involved could influence or determine the options available for the data ingestion tool(s). These could include other databases, data lakes, SaaS applications (e.g. Salesforce), Access databases, SharePoint, or Excel spreadsheets. The necessary access is granted so data flows without issue.

SQL 52

SQL Database ETL Data Modeling 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

phData

OCTOBER 29, 2024

You should have at least Contributor access to the workspace Download SQL Server Management Studio Step-by-Step Guide for Refreshing a Single Table in Power BI Semantic Model Using a demo data model, let’s walk through how to refresh a single table in a Power BI semantic model. A window will open.

Power BI 52

Power BI SQL Database Azure 52

Towards AI

JULY 17, 2024

This is a large limitation of a relational database system as relationships need to be defined — they cannot really be discovered. Some databases might use Foreign Key constraints, some might use field naming conventions, some might use neither — its the wild west out there. We use a graph database that is designed for it.

Database 91

Database Data Modeling Data Models SQL 91

Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. Programming Data scientists need to have a solid foundation in programming languages such as Python, R, and SQL.

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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.

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Database Data Modeling Data Models SQL 119

Dataconomy

OCTOBER 15, 2024

For example, instead of sketching an appropriate database schema, a user would prefer to ask an AI-driven tool to “design a database schema for e-commerce,” and the tool will be able to present a scalable, optimized schema. Developers can interact with LCNC platforms using natural language queries or prompts.

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AI AI Database Natural Language Processing 121

Mlearning.ai

APRIL 29, 2023

Available Data The Data Bank team has prepared a data model for this case study as well as a few example rows from the complete dataset below to get you familiar with their tables. Submission Suggestions 8-Week SQL Challenge: Data Bank was originally published in MLearning.ai BECOME a WRITER at MLearning.ai

SQL 52

SQL Power BI Cloud Data Data Analysis 52

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. in an enterprise data warehouse. What is a Datamart? A replacement for datasets.

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