Flipboard

FEBRUARY 14, 2023

Time-varying entities may contain multiple time-varying and static attributes, making mapping them a particular challenge.

Data Modeling 120

Data Modeling Data Models Database Big Data 120

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

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.

Database 52

Database Data Modeling Data Models 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 Modeling 98

Data Modeling Data Models Database SQL 98

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

Dataconomy

JUNE 10, 2022

The vast majority of data created today is unstructured – that is, it’s information in many different forms that don’t follow conventional data models. That makes it difficult to store and manage in a standard relational database. According to IDC, 80% of all data by 2025.

Database 170

Database Data Modeling Data Models 170

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

Data Science Dojo

MARCH 8, 2024

With the rapidly evolving technological world, businesses are constantly contemplating the debate of traditional vs vector databases. This blog delves into a detailed comparison between the two data management techniques. In today’s digital world, businesses must make data-driven decisions to manage huge sets of information.

Database 370

Database Natural Language Processing Clustering SQL 370

Flipboard

JULY 24, 2023

It is also called the second brain as it can store data that is not arranged according to a present data model or schema and, therefore, cannot be stored in a traditional relational database or RDBMS. It can also get back the information that is lost from us with the help of advanced artificial intelligence.

Artificial Intelligence 83

Artificial Intelligence Artificial Intelligence Natural Language Processing Data Science 83

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 SQL 52

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

FEBRUARY 9, 2023

From data discovery and cleaning to report creation and sharing, we will delve into the key steps that can be taken to turn data into decisions. A data analyst is a professional who uses data to inform business decisions. Check out this course and learn Power BI today!

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

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 Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

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

Smart Data Collective

MAY 16, 2022

Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. It also helps in providing visibility to data and thus enables the users to make informed decisions. They are a part of the data management system.

Data Warehouse 127

Data Warehouse Data Mining Data Mining Data Mining 127

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

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 Machine Learning 221

phData

FEBRUARY 15, 2024

Model-Driven Apps The second type of Power App we will explore is the Model-driven app, built on a data model , allowing users to create powerful, data-centric applications quickly. The data model drives the app’s layout and business processes. Why PowerApps?

Data Modeling 52

Data Modeling Data Models Database 52

ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. Understanding Data Lakes A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

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

Smart Data Collective

OCTOBER 19, 2022

One of the problems companies face is trying to setup a database that will be able to handle the large quantity of data that they need to manage. There are a number of solutions that can help companies manage their databases. They don’t even necessarily need to understand NoSQL to manage their databases.

Big Data 111

Big Data Big Data Database AWS 111

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. Sources The sources involved could influence or determine the options available for the data ingestion tool(s).

SQL 52

SQL Database ETL Data Modeling 52

Hacker News

NOVEMBER 14, 2023

OnPrem - Geospatial database D2. OnPrem - SAP database D4. OnCloud - Large mirror database D10. OnPrem - LotusNotes database D11. OnPrem - LotusNotes database D11. OnPrem - IBM BPM database D12. In 2000s many of our systems were built on top of IBM Lotus Notes databases. OnPrem - Sharepoint D7.

Power BI 128

Power BI Database Algorithm Azure 128

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

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

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. For more information on how to use the connector, see our Google BigQuery (JDBC) Help Page.

Tableau 98

Tableau SQL Data Warehouse Database 98

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?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Dataconomy

SEPTEMBER 4, 2023

Cloud analytics is the art and science of mining insights from data stored in cloud-based platforms. By tapping into the power of cloud technology, organizations can efficiently analyze large datasets, uncover hidden patterns, predict future trends, and make informed decisions to drive their businesses forward.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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 77

Data Analyst SQL Data Scientist Data Analysis 77

IBM Journey to AI blog

NOVEMBER 29, 2023

Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qualitative and includes text, images, and video. While a synthetic dataset may achieve high accuracy, it could compromise privacy by including too much of the original data.

Data Scientist 83

Data Scientist Machine Learning Machine Learning AI 83

Dataconomy

OCTOBER 17, 2023

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming.

Data Warehouse 103

Data Warehouse Big Data Big Data ETL 103

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Data lakes are often used for situations in which an organization wishes to store information for possible future use.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Apache Hadoop 59

IBM Journey to AI blog

MARCH 29, 2024

According to the Rethink Data Report , 68% of data available to businesses goes unleveraged. Here’s your opportunity to take that abundant information you’re collecting in and around your assets and put it to good use.

AI 86

AI AI Artificial Intelligence Artificial Intelligence 86

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

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The tool’s high storage capacity is perfect for keeping large information volumes.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Pickl AI

APRIL 10, 2023

The starting range for a SQL Data Analyst is $61,128 per annum. How SQL Important in Data Analytics? Sincerely, SQL is used by Data Analysts for storing data in a particular type of Database and ensures flexibility in accessing or updating data. An SQL Data Analyst is vital for an organisation.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Pickl AI

MAY 7, 2024

The ever-growing tide of data continues to reshape the business landscape, demanding a new breed of professionals – the Data Analysts. These data detectives delve into the vast ocean of information, collecting, cleaning, and analyzing it to uncover hidden gems of knowledge. Enters: Tableau for Data Analyst.

Data Analyst 52

Data Analyst Tableau Data Science Power BI 52