Data Science Dojo

OCTOBER 31, 2024

Skills and Training Familiarity with ethical frameworks like the IEEE’s Ethically Aligned Design, combined with strong analytical and compliance skills, is essential. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

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. 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 Science 368

Data Science Data Scientist Database Administration Machine Learning 368

Analytics Vidhya

MARCH 2, 2023

More specifically, normalization involves organizing data according to attributes assigned as part of a larger data model. The main goals of database normalization are […] The post Understanding the Basics of Database Normalization appeared first on Analytics Vidhya.

Database 324

Database Data Modeling Data Models Analytics 324

Dataconomy

JUNE 16, 2025

Structured data is a fundamental component in the world of data management and analytics, playing a crucial role in how we store, retrieve, and process information. By organizing data into a predetermined format, it enables efficient access and manipulation, forming the backbone of many applications across various industries.

Database 91

Database Data Lakes ETL SQL 91

Data Science Blog

NOVEMBER 15, 2023

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

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.

Tableau 96

Tableau SQL Data Modeling Data Models 96

Smart Data Collective

JUNE 16, 2022

This tool can be great for handing SQL queries and other data queries. Every data scientist needs to understand the benefits that this technology offers. Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles.

Analytics 139

Analytics Analytics Data Scientist Data Warehouse 139

ODSC - Open Data Science

APRIL 16, 2025

In a world of ever-evolving data tools and technologies, some approaches stand the test of time. Thats the case Dustin DorseyPrincipal Data Architect at Onyx makes for dimensional data modeling , a practice born in the 1990s that continues to provide clarity, performance, and scalability in modern data architecture.

Data Modeling 59

Data Modeling Data Models Analytics Analytics 59

databricks

JUNE 18, 2025

This is an important step forward because it gives LLMs the context they need to take actions in a more natural form.

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Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

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Data Warehouse Azure SQL Database 259

Dataconomy

MARCH 17, 2025

Natural Language Query (NLQ) is changing the way we interact with data analytics by allowing users to speak or type their questions in a way that feels natural and intuitive. Natural Language Query (NLQ) enables users to query databases using everyday language rather than specialized query languages like SQL.

Natural Language Processing 91

Natural Language Processing Power BI Analytics Analytics 91

Tableau

OCTOBER 8, 2021

However, most organizations struggle to become data driven. Data is stuck in siloes, infrastructure can’t scale to meet growing data needs, and analytics is still too hard for most people to use. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

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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SQL Data Scientist Database Data Science 98

Data Science Dojo

FEBRUARY 9, 2023

They use various tools and techniques to extract insights from data, such as statistical analysis, and data visualization. They may also work with databases and programming languages such as SQL and Python to manipulate and extract data. Check out this course and learn Power BI today!

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

AWS Machine Learning Blog

AUGUST 30, 2024

In this post, we provide an overview of the Meta Llama 3 models available on AWS at the time of writing, and share best practices on developing Text-to-SQL use cases using Meta Llama 3 models. Meta Llama 3’s capabilities enhance accuracy and efficiency in understanding and generating SQL queries from natural language inputs.

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SQL AWS Database AI 88

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data Science Analytics Analytics Data Scientist 94

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. Prepare data for effective analysis One important data scientist skill is preparing data for effective analysis.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

Tableau

OCTOBER 8, 2021

However, most organizations struggle to become data driven. Data is stuck in siloes, infrastructure can’t scale to meet growing data needs, and analytics is still too hard for most people to use. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

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

Pickl AI

JUNE 5, 2025

They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders. Validation techniques ensure models perform well on unseen data. Data Manipulation: Pandas, NumPy, dplyr.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Data Science Dojo

JULY 6, 2023

Google BigQuery: Google BigQuery is a serverless, cloud-based data warehouse designed for big data analytics. It offers scalable storage and compute resources, enabling data engineers to process large datasets efficiently. It supports batch processing and is widely used for data-intensive tasks.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined. No problem!

Power BI 84

Power BI Analytics Analytics Azure 84

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. This is a self-service analytical platform for business users. It comes with embedded dashboards privately and publicly.

Business Intelligence 138

Business Intelligence Business Intelligence Tableau SQL 138

phData

JULY 10, 2024

It is important in business to be able to manage and analyze data well. Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. These tools allow users to handle more advanced data tasks and analyses.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Dataconomy

OCTOBER 15, 2024

Information – data that’s processed, organized, and consumable – drives insights that lead to actions and value generation. This article shares my experience in data analytics and digital tool implementation, focusing on leveraging “Big Data” to create actionable insights.

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Data Modeling Data Models Analytics Analytics 113

Smart Data Collective

MAY 29, 2023

The rate of growth at which world economies are growing and developing thanks to new technologies in information data and analysis means that companies are needing to prepare accordingly. As a result of the benefits of business analytics , the demand for Data analysts is growing quickly.

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Data Analyst SQL Data Scientist Data Analysis 104

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

Data Lakes Data Modeling Data Models Data Warehouse 52

Towards AI

APRIL 22, 2024

To create, update, and manage a relational database, we use a relational database management system that most commonly runs on Structured Query Language (SQL). NoSQL databases — NoSQL is a vast category that includes all databases that do not use SQL as their primary data access language.

Database 102

Database SQL Clustering Big Data 102

AWS Machine Learning Blog

FEBRUARY 21, 2025

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks.

Data Science 76

Data Science AWS Hadoop Data Scientist 76

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Smart Data Collective

MARCH 29, 2022

In the world of data stacking, which is the theory of data organizing, there are two concepts that center around it: Fact table vs dimension table. This is the topic of harnessing data in a manner that is accessible, and tangible has been posited by many. He explains that “not every business gets value out of their data.

Data Modeling 98

Data Modeling Data Models SQL Analytics 98

Dataconomy

AUGUST 7, 2023

These formats play a significant role in how data is processed, analyzed, and used to develop AI models. Structured data is organized in a highly organized and predefined manner. It follows a clear data model, where each data entry has specific fields and attributes with well-defined data types.

Database 168

Database ML ML AI 168

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. And with this work, I invite discussions about this history, my analysis, and the implications for the future of analytics.

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Tableau ML ML Database 145

Tableau

APRIL 12, 2022

Tableau workbook performance can have a huge effect on the analytics experience for individuals, plus there are implications for your organization at the technology level. With the amount of data, users, and analytics use cases always growing, connecting people with the right information can be a challenge. Performance.

Tableau 98

Tableau Data Preparation Data Modeling Data Models 98

Tableau

APRIL 12, 2022

Tableau workbook performance can have a huge effect on the analytics experience for individuals, plus there are implications for your organization at the technology level. With the amount of data, users, and analytics use cases always growing, connecting people with the right information can be a challenge. Performance.

Tableau 98

Tableau Data Preparation Data Modeling Data Models 98

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

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52