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

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 Models 98

Data Models Data Modeling Database SQL 98

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

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 Models Data Modeling Data Warehouse 52

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

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 Models 52

Data Models Data Modeling Apache Kafka Data Lakes 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 Models 98

Data Models Data Modeling 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 222

Power BI Data Analyst Data Visualization Data Analysis 222

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 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 368

Data Science Database Administration Data Scientist Machine Learning 368

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 112

Database SQL Big Data Big Data 112

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

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 83

Database SQL Clustering Big Data 83

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

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 222

Data Scientist Exploratory Data Analysis Data Visualization Data Science 222

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 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 Models Data Modeling Database 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

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 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

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

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 80

Data Analyst SQL Data Scientist Data Analysis 80

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 91

Database Data Modeling Data Models SQL 91

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

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

Pickl AI

NOVEMBER 18, 2024

Microsoft Power BI is a comprehensive business intelligence (BI) tool designed to help organisations turn raw data into meaningful insights. It enables users to analyse data, create interactive Visualisations, and share reports and dashboards. It supports various Visualisations and can connect to various SQL-based data sources.

Power BI 52

Power BI Tableau Data Analysis Data Analysis 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

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 135

Business Intelligence Business Intelligence Tableau SQL 135

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. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 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

phData

JUNE 27, 2023

Using SQL-centric transformations to model data to be deployed. dbt is also great for data lineage and documentation to empower business analysts to make informed decisions on their data. Data Consumption with Sigma Here we are using Sigma to explore our data, create visuals, and make business decisions.

SQL 52

SQL Database Data Quality Data Warehouse 52

phData

FEBRUARY 8, 2024

Data Modeling, dbt has gradually emerged as a powerful tool that largely simplifies the process of building and handling data pipelines. dbt is an open-source command-line tool that allows data engineers to transform, test, and document the data into one single hub which follows the best practices of software engineering.

Data Models 52

Data Models Data Modeling Data Warehouse Database 52

Revolutions

JANUARY 21, 2021

Among other features, Azure Cosmos DB is notable in that it supports multiple data models and APIs. When you create a new Cosmos DB account, you specify which API you want to use: SQL/core API, which lets you use a dialect of T-SQL to query and manage tables and documents; MongoDB; Azure table storage; Cassandra; or Gremlin (graph).

Azure 40

Azure SQL Database Administration Database 40

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 Models 85

Data Models Data Modeling SQL Analytics 85