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.

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Data Modeling Data Models Database SQL 98

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

Data Science Connect

JANUARY 27, 2023

If you’re interested in becoming a data engineer, there are several key skills and technologies that you should familiarize yourself with. 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.

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

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.

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Data Modeling Data Models Database SQL 52

Data Science Dojo

FEBRUARY 9, 2023

Data is an essential component of any business, and it is the role of a data analyst to make sense of it all. Power BI is a powerful data visualization tool that helps them turn raw data into meaningful insights and actionable decisions. Check out this course and learn Power BI today!

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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. We use a graph database that is designed for it.

Database 111

Database Data Modeling Data Models SQL 111

Dataversity

JANUARY 16, 2023

In today’s data-driven world, technologies are changing very rapidly, and databases are no exception to this. The current database market offers hundreds of databases, all of them varying in data models, usage, performance, concurrency, scalability, security, and the amount of supplier support provided.

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Database Data Modeling Data Models 52

AWS Machine Learning Blog

NOVEMBER 18, 2024

Solution building blocks To begin designing the solution, we identified the key components needed, including the generative AI service, LLMs, vector databases, and caching engines. For our use case, we used a third-party embedding model.

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AI AI Database AWS 106

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

FEBRUARY 23, 2023

Organisations must store data in a safe and secure place for which Databases and Data warehouses are essential. You must be familiar with the terms, but Database and Data Warehouse have some significant differences while being equally crucial for businesses. What is a Database? What is Data Warehouse?

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Data Warehouse Database Data Analysis Data Analysis 52

phData

JULY 18, 2023

Throughout my analytics journey, I’ve encountered all sorts of data models, from simple to incredibly complex. I’ve also helped everyone, from data newbies and data experts, implement a wide range of solutions in Sigma Computing. Benefits Enhanced flexibility for modeling and data changes.

Data Modeling 52

Data Modeling Data Models Database Data Analysis 52

Pickl AI

JULY 8, 2024

Summary: Time series databases (TSDBs) are built for efficiently storing and analyzing data that changes over time. This data, often from sensors or IoT devices, is typically collected at regular intervals. Buckle up as we navigate the intricacies of storing and analysing this dynamic data.

Database 52

Database Data Pipeline Machine Learning Machine Learning 52

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? In this blog post, you’ll get a high-level overview of schema-based sharding and other new Citus 12 features: What is schema-based sharding?

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Database SQL Data Modeling Data Models 123

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.

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Data Lakes Data Modeling Data Models Data Warehouse 52

Dataversity

OCTOBER 4, 2021

And we have short delivery cycles, sprints, and a lot of peers to share data models with. The post Quick, Easy, and Flexible Data Model Diagrams appeared first on DATAVERSITY. Many of us have a lot to do. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs?

Data Modeling 52

Data Modeling Data Models Database 52

IBM Journey to AI blog

MAY 29, 2024

Designing data models and generating Entity-Relationship Diagrams (ERDs) demand significant effort and expertise. Data model creation : Based on use cases and user stories, watsonx can generate robust data models representing the software’s data structure.

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Data Modeling Data Models Database AI 87

Dataversity

JULY 26, 2021

aka Data Modeling What?) Sometimes the obvious is not that … obvious. Many people know that I am on the graph-y side of the house. But explaining a simple matter like […]. The post What’s in a Name? appeared first on DATAVERSITY.

Data Modeling 52

Data Modeling Data Models Database 52

Data Science Dojo

JANUARY 16, 2023

Every individual analysis the data obtained via their experience to generate a final decision. Put more concretely, data analysis involves sifting through data, modeling it, and transforming it to yield information that guides strategic decision-making.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Hacker News

MAY 22, 2023

1 But inevitably, starting a new project involves lots of meetings with business stakeholders to hash out initial requirements and canonical data models. For example, you might need the data to be denormalized for performance, or the warehouse data might exist on a physically different system that can’t participate in a database join.

Database 123

Database Data Modeling Data Models 123

IBM Journey to AI blog

MARCH 29, 2024

Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

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AI AI Artificial Intelligence Artificial Intelligence 104

ODSC - Open Data Science

FEBRUARY 14, 2023

These models are the technology behind Open AI’s DALL-E and GPT-3 , and are powerful enough to understand natural language commands and generate high-quality code to instantly query databases. A massively scalable database that can be used to power popular internet sites would need to have several key features to be successful.

Database 124

Database AI AI Natural Language Processing 124

Pickl AI

JULY 3, 2024

Summary: This blog explores attributes in DBMS, exploring their various types (simple, composite, etc.) and their significance in data retrieval, analysis, and security. Learn best practices for attribute design and how they contribute to the evolving data landscape. They uniquely identify an entity instance.

Database 52

Database Data Analysis Data Analysis Data Wrangling 52

phData

MARCH 22, 2023

Sigma Computing’s Metrics are a powerful tool for simplifying this complexity and making it easier for business users to access and understand data. In this blog, we will explore what Metrics are, how they work, and why they should be used in data modeling. Next, add a Name, Description, and Formula to create a Metric.

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Data Modeling Data Models Data Quality Database 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

DagsHub

DECEMBER 11, 2023

Best 8 data version control tools for 2023 (Source: DagsHub ) Introduction With business needs changing constantly and the growing size and structure of datasets, it becomes challenging to efficiently keep track of the changes made to the data, which leads to unfortunate scenarios such as inconsistencies and errors in data.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Database 98

Dataversity

JUNE 19, 2023

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

Data Pipeline 52

Data Pipeline Database Data Modeling Data Models 52

phData

FEBRUARY 15, 2024

In this blog, we will explore different app types available in Microsoft PowerApps, discuss their pros and cons, and explain when it is most appropriate to use each one. The data model drives the app’s layout and business processes. Pros Rapid Development: Quick creation of apps based on existing data models.

Data Modeling 52

Data Modeling Data Models Database 52

IBM Journey to AI blog

NOVEMBER 29, 2023

Evaluating synthetic data quality Enterprise-wide adoption also requires business leaders and data scientists to have confidence in the quality of the synthetic data output. Specifically, they must quickly and easily grasp how closely the synthetic data maintains the statistical properties of their existing data model.

Data Scientist 100

Data Scientist Machine Learning Machine Learning AI 100

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

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

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Cambridge Intelligence

JUNE 18, 2024

To build a high-performance, scalable graph visualization application, you need a reliable way to store and query your data. Neo4j is one of the most popular graph database choices among our customers. In this blog post, I’ll outline three simple steps to create an interactive React Neo4j visualization tool.

Database 59

Database Data Modeling Data Models Data Visualization 59

ODSC - Open Data Science

NOVEMBER 19, 2024

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

Iguazio

JULY 22, 2024

In this blog post, we introduce the joint MongoDB - Iguazio gen AI solution, which allows for the development and deployment of resilient and scalable gen AI applications. MongoDB and Iguazio unify all data management needs, like logging, auditing and more, in a single solution.

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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 Modeling Data Models 52

Pickl AI

DECEMBER 17, 2024

Understand their key differences to choose the right database for your project. Introduction Relational database management systems ( RDBMS ) are essential for efficiently handling, storing, and organising structured data. It is open-source and uses Structured Query Language (SQL) to manage and manipulate data.

Database 52

Database SQL Analytics Analytics 52

Cambridge Intelligence

APRIL 4, 2023

The Neo4j graph data platform Neo4j has cemented itself as the market leader in graph database management systems, so it’s no surprise that many of our customers want to visualize connected data stored in Neo4j databases. It’s a great option if you don’t want the hassle of database administration.

Data Visualization 59

Data Visualization Database Data Modeling Data Models 59

Pickl AI

MARCH 3, 2025

Business Intelligence Analysts are the skilled artisans who transform this raw data into valuable insights, empowering organizations to make strategic decisions and stay ahead of the curve. Key Takeaways BI Analysts convert data into actionable insights for strategic business decisions.

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Business Intelligence Business Intelligence Data Analyst Data Visualization 52