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

Analytics Vidhya

MARCH 2, 2023

Introduction Data normalization is the process of building a database according to what is known as a canonical form, where the final product is a relational database with no data redundancy. More specifically, normalization involves organizing data according to attributes assigned as part of a larger data model.

Database 324

Database Data Modeling Data Models Analytics 324

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 Modeling 98

Data Modeling Data Models Database SQL 98

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 272

Data Science Database Administration Data Scientist Machine Learning 272

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.

Data Engineer 130

Data Engineer Data Engineering Data Engineering Data Engineering 130

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.

Data Warehouse 259

Data Warehouse Azure SQL Database 259

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 Modeling 52

Data Modeling Data Models Database SQL 52

Flipboard

MARCH 8, 2023

ChatGPT for Data Science Cheat Sheet • Top Free Data Science Online Courses for 2023 • SQL Query Optimization Techniques • 3 Hard Python Coding Interview Questions For Data Science • A List of 7 Best Data Modeling Tools for 2023

Data Science 122

Data Science SQL Data Models Data Modeling 122

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

Computer Science 162

Computer Science Computer Science ETL ML 162

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 Analysis 98

Data Science Dojo

APRIL 18, 2023

Effective data visualization allows stakeholders to quickly understand complex data and draw actionable insights from it. Programming Programming is a crucial skill for data analysts. Data analysts should be able to manipulate data using programming constructs such as loops, conditional statements, and functions.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

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

Data Science Dojo

JUNE 7, 2023

The primary aim is to make sense of the vast amounts of data generated daily by combining statistical analysis, programming, and data visualization. It is divided into three primary areas: data preparation, data modeling, and data visualization.

Data Science 195

Data Science Data Visualization Data Scientist Machine Learning 195

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

Smart Data Collective

AUGUST 9, 2022

The issue is that it is difficult to manage data without the right infrastructure. NoSQL databases are the alternative to SQL databases. They come in different types and provide flexible schemas, allowing them to easily scale with high user loads and large data amounts. NoSQL queries are often faster than those made in SQL ones.

Database 119

Database SQL Big Data Big Data 119

Towards AI

JANUARY 11, 2024

Tabular data is the data in the typical table — some columns and rows are structured well, like in Excel or SQL data. It's the most common usage of data forms in many data use cases. With the power of LLM, we would learn how to explore the data and perform data modeling.

Clean Data 126

Clean Data Python SQL Data Science 126

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 Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

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.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Visualization Data Science 221

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

Data Science Dojo

OCTOBER 31, 2024

Their role is crucial in understanding the underlying data structures and how to leverage them for insights. Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Programming Questions Data science roles typically require knowledge of Python, SQL, R, or Hadoop.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

Azure 52

Azure ML ML Data Modeling 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.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 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 109

Database SQL Clustering Big Data 109

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

Smart Data Collective

APRIL 14, 2021

Formerly known as Periscope, Sisense is a business intelligence tool ideal for cloud data teams. With this tool, analysts are able to visualize complex data models in Python, SQL, and R. It also comes with data caching capabilities that enable fast querying.

Business Intelligence 137

Business Intelligence Business Intelligence Tableau SQL 137

Tableau

APRIL 3, 2023

Once you’ve connected to one table you can use the Tableau data pane user interface to navigate to another project and add tables to your data model. Initial SQL Google BigQuery (JDBC) supports Initial SQL. Read more about Initial SQL on our Help page.

Tableau 98

Tableau SQL Data Warehouse Database 98

Data Science Dojo

JULY 6, 2023

It allows data engineers to build, test, and maintain data pipelines in a version-controlled manner. dbt focuses on transforming raw data into analytics-ready tables using SQL-based transformations.

Data Engineer 195

Data Engineer Data Engineering Data Engineering Data Engineering 195

Smart Data Collective

MARCH 29, 2022

Not only is this new technology making data accessible to those outside of tech, it’s also streamlining consolidation of multiple data sources. So, whether you’ve been using Excel, SQL, CRMs, or other platforms to keep track of your data, this new technology will make accessing and configuring your data simpler.

Data Modeling 92

Data Modeling Data Models SQL Analytics 92

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.

Database 123

Database SQL Data Modeling Data Models 123

Smart Data Collective

JUNE 16, 2022

There are a lot of important queries that you need to run as a data scientist. 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. You need to utilize the best tools to handle these tasks. Using OLAP Tools Properly.

Analytics 137

Analytics Analytics Data Scientist Data Warehouse 137

Smart Data Collective

MAY 29, 2023

Skills Sets to Look For When entering into the hiring process for a data analyst there are a few skills that are recommended to look for when narrowing down the pool of options. Data modeling will result in how, in part, a business will set standards.

Data Analyst 88

Data Analyst SQL Data Scientist Data Analysis 88

Towards AI

JULY 17, 2024

My approach to graph-based Retrieval Augmented Generation The approach is a bit more rooted in traditional methods, I parse the Data Model (an SQL-based relational system) into Nodes and Relationships in a graph database and then provide an endpoint where those relationships can be queried to provide a source of truth.

Database 111

Database Data Modeling Data Models SQL 111

phData

MAY 25, 2023

The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. In 2021, Microsoft enabled Custom SQL queries to be run to Snowflake in DirectQuery mode further enhancing the connection capabilities between the platforms.

Power BI 84

Power BI Analytics Analytics Azure 84

Mlearning.ai

APRIL 29, 2023

This case study as we’ve mentioned above is all about calculating metrics, and growth and helping the business analyze their data in a smart way to better forecast and plan for their future developments! 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

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

MAY 31, 2023

From there, that question is fed into ChatGPT along with dbt data models that provide information about the fields in the various tables. From there, ChatGPT generates a SQL query which is then executed in the Snowflake Data Cloud , and the results are brought back into the application in a table format.

SQL 52

SQL Data Modeling Data Models Database 52

phData

SEPTEMBER 26, 2023

The necessary access is granted so data flows without issue. SQL Server Agent jobs). Either way, it’s important to understand what data is transformed, and how so. More often than not, the SQL code used to perform the transformation won’t be able to run as-is from the current system to Snowflake.

SQL 52

SQL Database ETL Data Modeling 52