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

Data Science Dojo

MAY 10, 2023

In the current landscape, data science has emerged as the lifeblood of organizations seeking to gain a competitive edge. 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.

Data Science 272

Data Science Database Administration Data Scientist Machine Learning 272

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. 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.

SQL 98

SQL Data Scientist Database Data Analysis 98

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

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. Databases of this type store data in edges and nodes.

Database 119

Database SQL Big Data Big Data 119

Data Science Dojo

MARCH 7, 2023

As data science evolves and grows, the demand for skilled data scientists is also rising. A data scientist’s role is to extract insights and knowledge from data and to use this information to inform decisions and drive business growth.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Visualization Data Science 221

Data Science Dojo

APRIL 18, 2023

Whether you’re located anywhere in the world or belong to any profession, you can still develop the expertise needed to be a skilled data analyst. Who are data analysts? Data analysts are professionals who use data to identify patterns, trends, and insights that help organizations make informed decisions.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

Data Science Dojo

OCTOBER 31, 2024

Specialized Industry Knowledge The University of California, Berkeley notes that remote data scientists often work with clients across diverse industries. Whether it’s finance, healthcare, or tech, each sector has unique data requirements. Modeling Questions Be ready to explain how you’ve applied modeling or visualization skills.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

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

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. To create, update, and manage a relational database, we use a relational database management system that most commonly runs on Structured Query Language (SQL).

Database 109

Database SQL Clustering Big Data 109

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

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

Business intelligence is simply a tool, computer software, and practice used to collect, integrate, analyze, and present raw business data that can be used to create actionable and informative business data. Formerly known as Periscope, Sisense is a business intelligence tool ideal for cloud data teams. Boost revenue.

Business Intelligence 137

Business Intelligence Business Intelligence Tableau SQL 137

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. What is a Data Lake?

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

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

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. These insights?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Dataconomy

AUGUST 7, 2023

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. The types of data mentioned in the context of AI databases refer to different formats in which information is stored and organized.

Database 168

Database AI AI ML 168

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.

Data Analyst 88

Data Analyst SQL Data Scientist Data Analysis 88

Towards AI

JULY 17, 2024

I’m not going to go into huge details on this as if you follow AI / LLM (which I assume you do if you are reading this) but in a nutshell, RAG is the process whereby you feed external data into an LLM alongside prompts to ensure it has all of the information it needs to make decisions. What is GraphRAG?

Database 111

Database Data Modeling Data Models SQL 111

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

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

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

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

AWS Machine Learning Blog

MAY 31, 2024

The General Data Protection Regulation (GDPR) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Example: customer information pertaining to the email address art@venere.org.

AWS 136

AWS Machine Learning Machine Learning Database 136

phData

MAY 31, 2023

AI models, like ChatGPT, have provided a lot of efficiencies for individual contributors, but generally not regarding company-specific information. There is a huge opportunity in leveraging AI to provide business users with quick insights into their company data.

SQL 52

SQL Data Modeling Data Models Database 52

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. They organise information into tables that facilitate easy access and manipulation.

Database 52

Database SQL Big Data Big Data 52

Pickl AI

JULY 3, 2023

Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. Based on the report of Zion Research, the global market of Business Intelligence rose from $16.33

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

phData

SEPTEMBER 26, 2023

Take an Inventory Taking an inventory is an important step for the following reasons; It informs the scope of a Snowflake migration. It’s useful in describing the activity and size of the data. The necessary access is granted so data flows without issue. SQL Server Agent jobs).

SQL 52

SQL Database ETL Data Modeling 52

phData

OCTOBER 9, 2023

Flexibility and adaptability for evolving business requirements Simplified data integration and agility in data modeling Incremental loading and historical data tracking capabilities Enhanced scalability and performance through parallel processing To get more information on the benefits of Data Vault with Snowflake, check out our blog!

ETL 69

ETL Clustering Data Warehouse SQL 69

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

Pickl AI

DECEMBER 17, 2024

By understanding their features and applications, you can make informed decisions aligned with your business objectives. Key Takeaways PostgreSQL handles complex queries, extensibility, and large-scale data efficiently. It is open-source and uses Structured Query Language (SQL) to manage and manipulate data.

Database 52

Database SQL Analytics Analytics 52

phData

AUGUST 10, 2023

Business data vault: Data vault objects with soft business rules applied. Information Mart: A layer of consumer-oriented models. It is common to see the use of dimensional models (star/Snowflake Data Cloud) or denormalized for your end users. The most important reason for using DBT in Data Vault 2.0

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

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 […]. They will very likely stay around for a long time.

SQL 52

SQL Database Data Models Data Modeling 52

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 52

Tableau SQL Data Warehouse Database 52

Tableau

OCTOBER 8, 2021

It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. 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.

Tableau 137

Tableau Analytics Analytics Machine Learning 137

Smart Data Collective

OCTOBER 19, 2022

What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data. For these reasons, your data integrity in MongoDB is more strongly consistent than in DynamoDB. It is compatible with a laptop to mainframe and on-premise through a hybrid cloud.

Big Data 124

Big Data Big Data Database AWS 124

Women in Big Data

NOVEMBER 27, 2024

By maintaining historical data from disparate locations, a data warehouse creates a foundation for trend analysis and strategic decision-making. How to Choose a Data Warehouse for Your Big Data Choosing a data warehouse for big data storage necessitates a thorough assessment of your unique requirements.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59