Data Governance, Data Warehouse and Download

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality

Data Quality Data Governance ETL Data Observability

Questions to ask before building a Data Strategy

Data Science 101

DECEMBER 3, 2019

Do you have a data governance document? What data do you collect? Technical Questions Before Starting a Data Strategy. How and where is your current data stored? What is the current data infrastructure? Do you have a data warehouse? Do you use any external data? How long is data stored?

Data Warehouse

Data Warehouse Data Governance Business Intelligence Business Intelligence

What Is Data Curation?

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Data Warehouse

Data Warehouse Data Lakes Data Governance Analytics

Webinars

How to Achieve High-Accuracy Results When Using LLMs

MORE WEBINARS

Mainframe Optimization: 5 Best Practices to Implement Now

Precisely

JANUARY 25, 2024

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance. Download Best Practice 1.

Data Governance

Data Governance Database Cloud Data Data Lakes

Considerations and Approaches to Loading Reference Data into Snowflake

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. Multi-person collaboration is difficult because users have to download and then upload the file every time changes are made.

ETL

ETL Data Warehouse Data Governance Tableau

What Is a Data Catalog?

Alation

FEBRUARY 13, 2020

Dataset Evaluation—Choosing the right datasets depends on ability to evaluate their suitability for an analysis use case without needing to download or acquire data first. Benefits of a Data Catalog. Improved data efficiency. Improved data context. Improved data analysis. Reduced risk of error.

Data Lakes

Data Lakes Data Analysis Data Analysis Big Data

What is a Hadoop Cluster?

Pickl AI

JULY 29, 2024

Download and extract the Apache Hadoop distribution on all nodes. Cost-effectiveness Hadoop clusters use commodity hardware, making them more cost-effective compared to traditional data processing systems. The open-source software is also free to download and use.

Hadoop

Hadoop Clustering Big Data Big Data

How Alation’s Data Team Uses the Modern Data Stack to Power Insights

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Curious to learn how the data catalog can power your data strategy?

Data Analyst

Data Analyst Data Scientist Analytics Analytics

How CURO Financial Technologies Successfully Integrated Data Sources After a Major Merger

Alation

JUNE 20, 2023

After its 2021 acquisition of Heights Finance Corporation, CURO needed to catalog and tag its legacy data while integrating Heights’ data — quickly. Bringing together companies — and their data Alation: For you guys in data, it sounds like the acquisition was the easy part. Alation: Easier said than done.

Data Governance

Data Governance Database SQL Data Engineering

How to Build a CI/CD MLOps Pipeline [Case Study]

The MLOps Blog

MARCH 15, 2023

Data governance: Ensure that the data used to train and test the model, as well as any new data used for prediction, is properly governed. For small-scale/low-value deployments, there might not be many items to focus on, but as the scale and reach of deployment go up, data governance becomes crucial.

AWS

AWS ETL ML ML

The Ultimate Modern Data Stack Migration Guide

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

Data Warehouse Analytics Analytics Cloud Data

Top 10 Reasons for Alation with Snowflake – Introduction

Alation

AUGUST 17, 2021

The Alation Data Catalog is built as a platform, unifying disparate data into a singular view. The Alation Data Catalog enables you to leverage the Data Cloud to boost analyst productivity, accelerate migration, and minimize risk through active data governance. Snowflake Data Cloud: A Modern Data Platform.

Data Governance

Data Governance Data Warehouse Cloud Data Data Quality

Democratizing data for transparency and accountability

Dataconomy

APRIL 6, 2023

To democratize data, organizations can identify data sources and create a centralized data repository This might involve creating user-friendly data visualization tools, offering training on data analysis and visualization, or creating data portals that allow users to easily access and download data.

Data Governance

Data Governance Data Silos Data Analysis Data Analysis

Mainframe Data: Empowering Democratized Cloud Analytics

Precisely

OCTOBER 16, 2023

The cloud is especially well-suited to large-scale storage and big data analytics, due in part to its capacity to handle intensive computing requirements at scale. BI platforms and data warehouses have been replaced by modern data lakes and cloud analytics solutions. Secure data exchange takes on much greater importance.

Analytics

Analytics Analytics Big Data Analytics Big Data Analytics

Democratizing data for transparency and accountability

Dataconomy

APRIL 6, 2023

To democratize data, organizations can identify data sources and create a centralized data repository This might involve creating user-friendly data visualization tools, offering training on data analysis and visualization, or creating data portals that allow users to easily access and download data.

Data Governance

Data Governance Data Silos Data Analysis Data Analysis

Data Science Current

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Questions to ask before building a Data Strategy

Webinars

Trending Sources

What Is Data Curation?

Webinars

Mainframe Optimization: 5 Best Practices to Implement Now

Considerations and Approaches to Loading Reference Data into Snowflake

What Is a Data Catalog?

What is a Hadoop Cluster?

How Alation’s Data Team Uses the Modern Data Stack to Power Insights

How CURO Financial Technologies Successfully Integrated Data Sources After a Major Merger

How to Build a CI/CD MLOps Pipeline [Case Study]

The Ultimate Modern Data Stack Migration Guide

Top 10 Reasons for Alation with Snowflake – Introduction

Democratizing data for transparency and accountability

Mainframe Data: Empowering Democratized Cloud Analytics

Democratizing data for transparency and accountability

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