Data Science Blog

NOVEMBER 15, 2023

So whenever you hear that Process Mining can prepare RPA definitions you can expect that Task Mining is the real deal. 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

Smart Data Collective

OCTOBER 17, 2022

If you haven’t already, moving to the cloud can be a realistic alternative. Cloud data warehouses provide various advantages, including the ability to be more scalable and elastic than conventional warehouses. Can’t get to the data. Data pipeline maintenance. Unable to properly govern data.

Big Data 119

Big Data Big Data Data Engineering Data Engineer 119

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 138

Tableau Analytics Analytics Machine Learning 138

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Data Governance 59

Data Governance ML ML Cloud Data 59

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

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. Data governance at scale.

Data Governance 52

Data Governance Tableau Data Quality Data Analyst 52

Alation

JUNE 22, 2021

The second and fourth posts take a deeper look at data search & discovery and data governance, respectively. What is Data Literacy? Per a recent article on Dataversity , “data literacy is the ability to read, work with, analyze, and argue with data.” How to Build Data Literacy.

Data Governance 64

Data Governance Analytics Analytics Decision Science 64

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

IBM Journey to AI blog

OCTOBER 16, 2023

Key considerations to ensure data sovereignty are: Leverage cloud provider capabilities by fine-tuning the physical location of each dataset to meet the geo-location of the data. Establish data governance frameworks, policies, procedures and tools by organizations to bring in required control and audit.

Data Governance 84

Data Governance Cloud Computing Data Classification Cloud Data 84

Tableau

JULY 15, 2021

The enterprise cloud data management company helped Tableau customer AmeriPride empower business users with data—ultimately driving profit and company growth. AmeriPride built a thriving Data Culture, with help from Informatica, by democratizing data for all, while ensuring secure data governance.

Tableau 52

Tableau Data Governance Analytics Analytics 52

IBM Journey to AI blog

MAY 31, 2023

The difference is found in the definition of edge computing, which states that data is analyzed at the source where data is generated. Connected products, on the other hand, are driven by responses received by sending the data to the cloud. Connected products send and receive lot of data to the cloud.

Internet of Things 112

Internet of Things Analytics Analytics Clustering 112

Alation

AUGUST 11, 2022

A modern data stack gives a neat, closed-loop definition of what is needed. If products are well integrated [in a modern data stack], it makes the job easier for the customers to adopt it and solve their business problems. Mitesh: Let’s talk about the trend toward decentralization with a data mesh.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Data Engineering 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

NOVEMBER 17, 2022

After : With Alation as the one-stop source of truth, the Data Platforms team established a new framework, applying standards, policies, and glossaries to their data at the point of use. Now, all data users work from common definitions, and their access is governed by shared policies.

Data Governance 52

Data Governance Cloud Data 52

Alation

FEBRUARY 8, 2022

Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Secure and governed by a global access control. This is changing.

Data Governance 52

Data Governance Data Engineer Data Engineering Data Engineering 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

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. This is a key component of active data governance.

DataOps 52

DataOps SQL ML ML 52

Alation

DECEMBER 14, 2021

But by partnering with a professional consultant in data quality management systems, forward-thinking enterprises gain a significant competitive edge over their competitors. Let’s start with some simple definitions. What is cloud-native?

Cloud Computing 52

Cloud Computing Azure AWS Data Quality 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

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

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.

SQL 52

SQL Database Data Warehouse Analytics 52