Tableau

OCTOBER 8, 2021

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

phData

JULY 17, 2023

Over the past few decades, the corporate data landscape has changed significantly. The shift from on-premise databases and spreadsheets to the modern era of cloud data warehouses and AI/ LLMs has transformed what businesses can do with data. Data modeling, data cleanup, etc.

Data Warehouse 52

Data Warehouse Data Pipeline Cloud Data ETL 52

phData

MAY 25, 2023

One big issue that contributes to this resistance is that although Snowflake is a great cloud data warehousing platform, Microsoft has a data warehousing tool of its own called Synapse. Creating an efficient data model can be the difference between having good or bad performance, especially when using DirectQuery.

Power BI 84

Power BI Analytics Analytics Azure 84

phData

MARCH 11, 2024

For years, marketing teams across industries have turned to implementing traditional Customer Data Platforms (CDPs) as separate systems purpose-built to unlock growth with first-party data. For behavioral data , Hightouch offers an event tracking SDK to deploy an SDK across your web, server, and mobile apps.

Data Warehouse 52

Data Warehouse Cloud Data Data Modeling Data Models 52

Tableau

OCTOBER 8, 2021

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

phData

OCTOBER 9, 2023

As organizations embrace the benefits of data vault, it becomes crucial to ensure optimal performance in the underlying data platform. One such platform that has revolutionized cloud data warehousing is the Snowflake Data Cloud. FAQs What’s the difference between a star schema and a data vault?

ETL 69

ETL Clustering Data Warehouse SQL 69

phData

AUGUST 29, 2024

The organization partnered with phData to create a standard time series data model of demand, quality, productivity, and safety data, allowing end users to view key metrics in one source of truth location. FAQs What are the most common data projects in manufacturing? Contact us today to learn more!

AI 52

AI AI ML ML 52

DataRobot Blog

JUNE 9, 2022

This value-add feature is now available on models run within Snowflake. It scales horizontally, as the models can be run within Snowflake on terabytes of data or more, whatever Snowflake supports. Having the data, models, predictions, and explanations together translates into higher reliability for the user.

Cloud Data 52

Cloud Data AI AI Database 52

Alation

AUGUST 16, 2022

This week, IDC released its second IDC MarketScape for Data Catalogs report, and we’re excited to share that Alation was recognized as a leader for the second consecutive time. But do they empower many user types to quickly find trusted data for a business decision or data model? Functionality and Range of Services.

Data Quality 52

Data Quality Data Governance Cloud Data Data Engineer 52

AWS Machine Learning Blog

SEPTEMBER 5, 2023

We have over 50 TB of historical equipment data and expect this data to grow quickly as more HVAC units are connected to the cloud. Data processing and model inference need to scale as our data grows.

AWS 114

AWS ML ML Machine Learning 114

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Jason: How do you use these models?

Data Analyst 52

Data Analyst Data Scientist Analytics Analytics 52

Dataversity

MAY 27, 2022

Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.”

Analytics 98

Analytics Analytics Data Models Data Modeling 98

Mlearning.ai

FEBRUARY 16, 2023

Furthermore, a shared-data approach stems from this efficient combination. The background for the Snowflake architecture is metadata management, so customers can enjoy an additional opportunity to share cloud data among users or accounts. As it was mentioned earlier, Snowflake separates computation and storage.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Alation

SEPTEMBER 7, 2021

Alation’s data lineage helps organizations to secure their data in the Snowflake Data Cloud. In this day and age, data governance is critical for effective data modeling and analytics. Active data governance helps organizations meet growing and every-changing compliance requirements with ease.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

IBM Journey to AI blog

SEPTEMBER 13, 2024

Data Cloud works to unlock trapped data by ingesting and unifying data from across the business. With over 200 native connectors—including AWS, Snowflake and IBM® Db2®—the data can be brought in and tied to the Salesforce data model.

AI 49

AI AI Natural Language Processing Tableau 49

Dataversity

MARCH 22, 2021

This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.

Data Lakes 98

Data Lakes Data Warehouse Data Quality Data Models 98

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

Internet of Things 97

Internet of Things Data Silos Data Lakes Data Warehouse 97

Pickl AI

FEBRUARY 23, 2023

Effectively, it Reduces total turnaround time (TAT) for data analysis and reporting. Essentially, it helps you save time retrieving data from various sources by providing access to critical data. In contrast, you can access them easily through the cloud.

Data Warehouse 52

Data Warehouse Database Data Analysis Data Analysis 52

Tableau

DECEMBER 7, 2022

As the world’s first real-time CRM, Salesforce Customer 360 and Data Cloud provide your entire organization with a single, up-to-the-minute view of your customer across any cloud. Harmonize your customer data into a unified view by mapping data sources into shared data models in Data Cloud.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

phData

JULY 10, 2024

Unlike traditional BI tools, its user-friendly interface ensures that users of all technical levels can seamlessly interact with data. The platform’s integration with cloud data warehouses like Snowflake AI Data Cloud , Google BigQuery, and Amazon Redshift makes it a vital tool for organizations harnessing big data.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Mlearning.ai

APRIL 29, 2023

Data Bank runs just like any other digital bank — but it isn’t only for banking activities, they also have the world’s most secure distributed data storage platform! Customers are allocated cloud data storage limits which are directly linked to how much money they have in their accounts.

SQL 52

SQL Power BI Cloud Data Data Analysis 52

The Data Administration Newsletter

JULY 17, 2024

They are interesting to an extent, but mostly, they feel like a late-night re-run and remind me that data work is hard. If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. So, what is a metrics store? Most of the young vendors trying to create this category will tell you that […]

Data Lakes 52

Data Lakes Data Models Data Modeling Cloud Data 52

Dataversity

SEPTEMBER 28, 2022

Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. The journey to becoming a successful data engineer […]. In other words, job security is guaranteed.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Data Science Blog

JULY 23, 2023

Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining. The data models are seen as data products with defined value, costs and ownership. Each applications has its own data model.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Women in Big Data

DECEMBER 9, 2024

Qlik Sense – Qlik Sense is a powerful business intelligence and data visualization tool designed to facilitate data exploration, visualization, and storytelling. Google Looker – Lookers user experience is generally considered more technical due to its reliance on LookML which is Lookers modeling language for data modeling.

Big Data 52

Big Data Big Data Power BI Tableau 52

phData

APRIL 20, 2023

Hashed PKs were introduced as a means of eliminating the bottleneck encountered by most database sequence generators, making this DV pattern ideal for customers prioritizing data loading performance and using data warehouse automation tools. Using variant columns in data vault satellites in Snowflake can provide several benefits.

Data Warehouse 72

Data Warehouse Data Governance Clustering Database 72

phData

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Pickl AI

JANUARY 21, 2025

Summary: This blog delves into the various types of data warehouses, including Enterprise Data Warehouses, Operational Data Stores, Data Marts, Cloud Data Warehouses, and Big Data Warehouses. Each type serves distinct purposes and plays a crucial role in effective data management and analysis.

Data Warehouse 52

Data Warehouse Big Data Big Data Cloud Data 52