Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. With an on-premise deployment, enterprises have full control over data security, data access, and data governance.

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Data Lakes Cloud Data AWS Tableau 52

Data Science Blog

NOVEMBER 15, 2023

It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik. They offer consistency and standardization across data structures, improving data accuracy and integrity. This centralized approach streamlines data governance and management, enhancing efficiency.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

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

Alation

DECEMBER 23, 2021

The data-science elves were bogged down in automating sleigh-packing, the analysis was dragging, and Santa’s famous dashboards couldn’t be updated. And Santa was hoping to make 2021 his most data-driven year yet. No Need to Pout or Cry: Just Know Your Data! Yup, the big syndicate was doing data culture – nice data culture.

Data Governance 59

Data Governance Data Pipeline Tableau Big Data 59

Alation

APRIL 7, 2021

But only a data catalog built as a platform can empower people to find, understand, and govern data, and support emerging data intelligence use cases. Alation possesses three unique capabilities: intelligence, active data governance, and broad, deep connectivity. Active Data Governance.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

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

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

Mlearning.ai

FEBRUARY 16, 2023

Further, Snowflake enables easy integrations with numerous business intelligence tools, including PowerBI, Looker, and Tableau. Machine Learning Integration Opportunities Organizations harness machine learning (ML) algorithms to make forecasts on the data. Furthermore, a shared-data approach stems from this efficient combination.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 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

MARCH 14, 2023

Von Big Data über Data Science zu AI Einer der Gründe, warum Big Data insbesondere nach der Euphorie wieder aus der Diskussion verschwand, war der Leitspruch “S**t in, s**t out” und die Kernaussage, dass Daten in großen Mengen nicht viel wert seien, wenn die Datenqualität nicht stimme.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147