Tableau

OCTOBER 8, 2021

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. Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

phData

JUNE 23, 2023

The Snowflake Data Cloud was built natively for the cloud. When we think about cloud data transformations, one crucial building block is User Defined Functions (UDFs). SQL For basic implementations and use cases, SQL UDFs are perfect.

SQL 52

SQL Python Algorithm Big Data 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. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode.

Power BI 84

Power BI Analytics Analytics Azure 84

Alation

JANUARY 17, 2023

These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau 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

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. Snowflake has you covered with Cortex.

Machine Learning 52

Machine Learning Machine Learning Database 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

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. We are starting with personalized homepages.

Data Governance 52

Data Governance Tableau Data Quality Data Analyst 52

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

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 Data Quality 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 Engineer 52

phData

AUGUST 15, 2023

dbt Labs is a robust platform that allows individuals comfortable with SQL to incorporate software engineering’s best practices into their data transformation pipelines. Topic 5: Creating and Maintaining Job Definitions Jobs are a significant part of the exam, and this topic requires thorough preparation. And who knows?

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Data Science Blog

MAY 15, 2023

Aber Moment mal, was ist eigentlich ein Data Lakehouse? Der Artikel beginnt mit einer Definition, was ein Lakehouse ist, gibt einen kurzen geschichtlichen Abriss, wie das Lakehouse entstanden ist und zeigt, warum und wie man ein Data Lakehouse aufbauen sollte.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

phData

SEPTEMBER 27, 2024

Some modern CDPs are starting to incorporate these concepts, allowing for more flexible and evolving customer data models. It also requires a shift in how we query our customer data. Instead of simple SQL queries, we often need to use more complex temporal query languages or rely on derived views for simpler querying.

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.

SQL 52

SQL Database Data Warehouse Analytics 52