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

Alation

AUGUST 9, 2021

People need to be able to add related data to their analysis so they can consider additional variables, which often leads to more impactful insights. Adding more data also lets people tell the data story their way – the very definition of being data driven.

Analytics 98

Analytics Analytics Data Warehouse Data Scientist 98

Alation

OCTOBER 18, 2022

Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. Improve data analysis accuracy.

Data Analyst 52

Data Analyst Data Engineering Data Engineering Data Engineering 52

phData

JUNE 3, 2024

Snowflake AI Data Cloud has become a premier cloud data warehousing solution. Maybe you’re just getting started looking into a cloud solution for your organization, or maybe you’ve already got Snowflake and are wondering what features you’re missing out on.

Machine Learning 52

Machine Learning Machine Learning Database Cloud Data 52

Alation

APRIL 14, 2022

This two-part series will explore how data discovery, fragmented data governance , ongoing data drift, and the need for ML explainability can all be overcome with a data catalog for accurate data and metadata record keeping. The Cloud Data Migration Challenge. Data pipeline orchestration.

Data Governance 59

Data Governance ML ML Cloud Data 59

Alation

AUGUST 30, 2022

These range from data sources , including SaaS applications like Salesforce; ELT like Fivetran; cloud data warehouses like Snowflake; and data science and BI tools like Tableau. This expansive map of tools constitutes today’s modern data stack.

Data Governance 52

Data Governance Tableau Data Quality Data Analyst 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. Gateways are being used as another layer of security between Snowflake or cloud data source and Power BI users.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Let’s take a closer look at the role of DI in the use case of data governance.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

phData

MAY 6, 2024

Now, a single customer might use multiple emails or phone numbers, but matching in this way provides a precise definition that could significantly reduce or even eliminate the risk of accidentally associating the actions of multiple customers with one identity.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data SQL 52

phData

JANUARY 19, 2024

Matillion is also built for scalability and future data demands, with support for cloud data platforms such as Snowflake Data Cloud , Databricks, Amazon Redshift, Microsoft Azure Synapse, and Google BigQuery, making it future-ready, everyone-ready, and AI-ready. Additional setup is typically optional.

Data Pipeline 52

Data Pipeline Data Warehouse ETL Azure 52

DataRobot Blog

FEBRUARY 21, 2022

The advantages of mixing R code for some unique libraries and Python code for more general data frame access with common display graphics for both is a big leap forward. Cloud-to-Cloud Data Performance 10 3 to 10 6 Faster. DataRobot Zepl operates 100% in the cloud. This is not an imaginary issue.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

phData

AUGUST 15, 2023

Set aside some time to experiment with dbt Cloud based on what you’ve learned in the courses. To do this, you’ll need to create a free dbt account , a Snowflake trial account (or another Data Warehouse), and a GitHub account. Consider it an additional resource in your preparation process. Know when they are updated.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. ” 1.

DataOps 52

DataOps SQL ML ML 52

phData

AUGUST 22, 2023

LDP Locations In Fivetran’s LDP, a location refers to a specific storage space (database or file storage) where it can replicate data from a source location or storage space where LDP can replicate data to the Target location. WAITING : This state indicates that the job will run at a scheduled time.

Database 52

Database Data Warehouse Cloud Data Analytics 52

phData

AUGUST 22, 2023

LDP (HVR) Locations In Fivetran’s LDP (HVR), a location refers to a specific storage space (database or file storage) where it can replicate data from a source location or storage space where LDP (HVR) can replicate data to the Target location. WAITING : This state indicates that the job will run at a scheduled time.

Database 52

Database Data Warehouse Cloud Data Analytics 52

Alation

FEBRUARY 8, 2022

Users must be able to access data securely — e.g., through RBAC policy definition. Readers may notice these attributes echo other data management frameworks. The ‘ FAIR Guiding Principles for scientific data management and stewardship ’ is one such framework. Secure and governed by a global access control.

Data Governance 52

Data Governance Data Engineering Data Engineering Data Engineering 52

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Organisationen können je nach ihren spezifischen Bedürfnissen und Anforderungen zwischen einem Data Warehouse und einem Data Lakehouse wählen.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

phData

SEPTEMBER 27, 2024

All this raw data goes into your persistent stage. Then, if you later refine your definition of what constitutes an “engaged” customer, having the raw data in persistent staging allows for easy reprocessing of historical data with the new logic. Are people binge-watching your original series?

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

phData

MAY 6, 2025

Its functionality comprises standing as an intermediary between raw data and visualizations and, thereby, acts as the place to facilitate ease of data exploration and analysis. It represents a centralized, shared data definition, allowing aggregations and other transformations. Select Dataset from the dropdown menu.

SQL 52

SQL Database Data Warehouse Analytics 52