Tableau

FEBRUARY 14, 2022

Director of Research, Tableau. The data lakehouse is one such architecture—with “lake” from data lake and “house” from data warehouse. With these golden rules, data is everyone's business at Schneider Electric—not just an IT process. Vidya Setlur. Kristin Adderson. February 14, 2022 - 6:11pm.

AI 95

AI AI Tableau Data Scientist 95

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. In this 2022.3

Data Governance 52

Data Governance Data Quality Tableau Data Analyst 52

Women in Big Data

DECEMBER 9, 2024

Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making. Selecting the right one can seem daunting.

Big Data 52

Big Data Big Data Power BI Tableau 52

Mlearning.ai

FEBRUARY 16, 2023

The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency. In this article, you’ll discover what a Snowflake data warehouse is, its pros and cons, and how to employ it efficiently.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Alation

FEBRUARY 20, 2020

Tools like MicroStrategy and Tableau make it easy for business users to quickly turn raw data into visualizations and reports. But before you can even start, you have to find a relevant data set, understand it, and trust it. Balanced Data Governance with MicroStrategy & Alation. abc/xyz, etc.).

Tableau 52

Tableau Analytics Analytics Data Governance 52

phData

AUGUST 9, 2024

Typically, this data is scattered across Excel files on business users’ desktops. They usually operate outside any data governance structure; often, no documentation exists outside the user’s mind. It is extremely labor intensive, and the team wants to automate it using Snowflake and Tableau.

ETL 52

ETL Data Warehouse Data Governance Tableau 52

Alation

FEBRUARY 13, 2020

For that, we are using tools like Alation, Tableau and MicroStrategy. And, then, if they need to run a query, they can choose the query that is certified, for example, from the BI team, and then they can continue their analysis through Tableau to obtain their own insights. And we try to spread all the information around the company.

Tableau 52

Tableau Data Governance Analytics Analytics 52

Alation

FEBRUARY 13, 2020

Who says you can’t rock and roll with data? Industry leaders like General Electric, Munich Re and Pfizer are turning to self-service analytics and modern data governance. They are leveraging data catalogs as a foundation to automatically analyze technical and business metadata, at speed and scale. “By

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52

Pickl AI

AUGUST 11, 2024

To handle sparse data effectively, consider using junk dimensions to group unrelated attributes or creating factless fact tables that capture events without associated measures. Ensuring Data Consistency Maintaining data consistency across multiple fact tables can be challenging, especially when dealing with conformed dimensions.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Alation

MARCH 1, 2022

Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

phData

MAY 13, 2024

Difficulty in moving non-SAP data into SAP for analytics which encourages data silos and shadow IT practices as business users search for ways to extract the data (which has data governance implications). Coalesce : Standardized and scalable visual data transformation and development on Snowflake.

Database 52

Database Analytics Analytics Machine Learning 52

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

AUGUST 9, 2024

Data Warehousing Solutions Tools like Amazon Redshift, Google BigQuery, and Snowflake enable organisations to store and analyse large volumes of data efficiently. Students should learn about the architecture of data warehouses and how they differ from traditional databases. js for creating interactive visualisations.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Alation

FEBRUARY 13, 2020

With TrustCheck, data analysts see color-coded visual cues whenever they use a questionable source, right in their natural workflow in real-time, whether they’re working in Alation Compose, in Tableau or in SalesForce Einstein Analytics. Alation’s TrustCheck technology enables a new and modern approach to agile data governance.

Tableau 52

Tableau Analytics Analytics Data Quality 52

Pickl AI

JULY 25, 2023

Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. Domain Knowledge: Understanding the specific domain where they apply data analysis. They work with databases and data warehouses to ensure data integrity and security.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 3, 2023

Familiarize yourself with data analysis techniques and tools. Learn BI technologies: Gain proficiency in popular BI tools and technologies such as Microsoft Power BI, Tableau, QlikView, or MicroStrategy. BI Developer Skills Required To excel in this role, BI Developers need to possess a range of technical and soft skills.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Alation

FEBRUARY 20, 2020

Here we are showcasing how the Alation Data Catalog and its integration with Salesforce Einstein Analytics can drive a data-driven Sales Operations. Data Catalogs Are the New Black. Gartner’s report, Data Catalogs Are the New Black in Data Management and Analytics , inspired our new penchant for the color black.

Machine Learning 52

Machine Learning Machine Learning Analytics Analytics 52

Alation

JANUARY 25, 2022

This is a key component of active data governance. These capabilities are also key for a robust data fabric. Another key nuance of a data fabric is that it captures social metadata. Social metadata captures the associations that people create with the data they produce and consume. The Power of Social Metadata.

DataOps 52

DataOps SQL ML ML 52

Data Science Blog

JULY 20, 2024

Es bietet vollständige Automatisierung des BI-Stacks und unterstützt ein breites Spektrum an Data Warehouses, analytischen Datenbanken und Frontends. Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien. Data Lakes: Unterstützt MS Azure Blob Storage.

Azure 130

Azure SQL Power BI Data Lakes 130