Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

AWS Big Data

FEBRUARY 26, 2025

S3 Tables integration with the AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize dataincluding Amazon S3 Metadata tablesusing AWS analytics services such as Amazon Data Firehose , Amazon Athena , Amazon Redshift, Amazon EMR, and Amazon QuickSight. With AWS Glue 5.0,

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

CIO Business Intelligence

OCTOBER 13, 2023

A sampling of data architect job descriptions shows key areas of responsibility such as: creating a DataOps and BI transformation roadmap, developing and sustaining a data strategy, implementing and optimizing physical database design, and designing and implementing data migration and integration processes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

OCTOBER 30, 2024

Because a CDC file can contain data for multiple tables, the job loops over the tables in a file and loads the table metadata from the source table ( RDS column names). For more details on this feature, see the Iceberg MERGE INTO syntax documentation. format(add_column)).select("DATA_TYPE").toPandas().iterrows())[0] toPandas().iterrows())[0]

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

Alation

MAY 10, 2021

Folks who work with data face these challenges every day. A data catalog helps people find, understand, trust, and govern data. The catalog gathers metadata, (or data about data), to add context to every asset. In phase one, an enterprise must create a data strategy , which will inform later plans.

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

AWS Big Data

JULY 28, 2023

To successfully respond to a data subject’s requests, organizations should have a clear strategy to determine how data is forgotten, flagged, anonymized, or deleted, and they should have clear guidelines in place for data audits. Note that putting a comprehensive data strategy in place is not in scope for this post.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

AWS Big Data

APRIL 19, 2023

This allows for a new way of thinking and new organizational elements—namely, a modern data community. However, today’s data mesh platform contains largely independent data products. Even with well-documented data products, knowing how to connect or join data products is a time-consuming job.

Technology 105

Technology Data-driven Machine Learning Sales 105

Alation

DECEMBER 15, 2021

A data governance strategy provides a framework that connects people to processes and technology. It assigns responsibilities, and makes specific folks accountable for specific data domains. It creates the standards, processes, and documentation structures for how the organization will collect and manage data.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

BI-Survey

FEBRUARY 23, 2023

“Data culture eats data strategy for breakfast” has become a popular saying among data and analytics managers and executives. Even the best data strategy cannot fulfill its potential if the data culture in the company does not match it. These include tools for metadata management (e.g.,

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

Alation

MAY 31, 2023

Their broad range of responsibilities include: Design and implement data architecture. Maintain data models and documentation. Ensure data security and compliance. Define data requirements and policies. Select and implement data tools and technologies. Identify and address data issues.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Octopai

JUNE 9, 2024

This challenge is especially critical for executives responsible for data strategy and operations. Here’s how automated data lineage can transform these challenges into opportunities, as illustrated by the journey of a health services company we’ll call “HealthCo.” This is where Octopai excels.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Alation

NOVEMBER 22, 2022

A well-governed data landscape enables data users in the public sector to better understand the driving forces and needs to support public policy – and measure impact once a change is made. Efficient Access To Data. Citizens, companies, and government employees need access to data and documents.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

JULY 6, 2021

Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. As enterprises struggle to juggle all three, data governance offers a vital framework. “Metadata” describes data about the data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council.

Management 98

Management Risk Measurement Optimization 98

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. Data governance is the foundation of EDM and is directly related to all other subsystems. Its main purpose is to establish an enterprise data management strategy.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. The defence industry is no exception.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Validates products for conformance.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. It is common to take great care in the selection and implementation of new technology.

Testing 52

Testing Interactive Strategy Software 52

Alation

MARCH 21, 2023

When it embarked on a digital transformation and modernization initiative in 2018, the company migrated all its data to AWS S3 Data Lake and Snowflake Data Cloud to provide accessibility to data to all users. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Business Objectives 52

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

David Menninger's Analyst Perspectives

JANUARY 15, 2025

I previously explained how Cloudera was positioning itself and its Cloudera Data Platform as an enabler of versatile enterprise data strategies, thanks to its ability to support a variety of workloads, deployment locations and architectural approaches.

Metadata 130

Metadata Data Warehouse Machine Learning Modeling 130

AWS Big Data

NOVEMBER 13, 2024

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. These data products belonged to data domains such as production, finance, and logistics.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

AWS Big Data

APRIL 29, 2025

The QuickSight step further optimizes data by selecting only necessary columns by using a column-level lineage solution and setting a dynamic date filter with a sliding window to ingest only relevant hot data into SPICE, avoiding unused data in dashboards or reports.

Data Transformation 54

Data Transformation Cost-Benefit Testing Data Lake 54