Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. All of this supports the use of AI.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

AWS Big Data

SEPTEMBER 13, 2023

The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker. We use the following terminology when discussing File Processor: Refresh cadence – This represents the data ingestion frequency (for example, 10 minutes). Create an AWS DMS task.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

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

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. But, through it all, Mohan says it’s critical to view everything through the same lens: gaining business value from data. Data fabric is a technology architecture.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 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

TDAN

JANUARY 14, 2020

Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply. Data Governance requirements are instrumental to 1) planning for Data Governance, 2) the definition of Data […].

Data Governance 89

Data Governance Metadata Data Strategy Business Intelligence 89

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. Definition and Descriptions.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Sisense

JULY 6, 2020

EDM covers the entire organization’s data lifecycle: It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

TDAN

APRIL 2, 2019

If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of data governance, don’t be alarmed. Even well-seasoned data governance veterans can struggle with the definition and explanation of what they do day to day.

Data Governance 72

Data Governance Data Quality Metadata Data Strategy 72

Alation

MAY 31, 2023

Ensure data security and compliance. Define data requirements and policies. Select and implement data tools and technologies. Collaborate on data strategy with business and IT leaders. Identify and address data issues. Lead or contribute to data-related projects and initiatives.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

TDAN

APRIL 30, 2019

Roles and responsibilities are the backbone of a successful information or data governance program. To operate an efficient and effective program and hold people formally accountable for doing the “right” thing at the “right” time, it requires the definition and deployment of roles that are appropriate for the culture of the organization.

Data Governance 79

Data Governance Data Quality IT Metadata 79

TDAN

FEBRUARY 1, 2022

I have worked on a wide variety of data catalog projects lately, and I’d like to share some of my thoughts from the various implementations that I’ve done. What is a Data Catalog? After discussions with a trusted colleague, I have begun to re-think my definition of what a Data Catalog is.

Metadata 75

Metadata Data Governance Data Strategy Strategy 75

Alation

DECEMBER 8, 2022

A quick search on “data governance” returns not just definitions, but also various “pillars,” “elements,” “phases,” and, of course, “frameworks” of good governance. Finding the right data governance solution can be overwhelming. There seem to be as many data governance vendors as there are data governance definitions!

Data Governance 52

Data Governance Data-driven Reporting Strategy 52

BI-Survey

MARCH 4, 2022

However, when attempting to restructure and reorganize data flows and processes and bring in new ways of working with data, particularly CDOs, CIOs and data teams often run into what feels like a brick wall. DATA LEADERSHIP. Formulate and communicate the data strategy clearly, explicitly and frequently.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 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

MARCH 9, 2023

SCD2 metadata – rec_eff_dt and rec_exp_dt indicate the state of the record. Register source tables in the AWS Glue Data Catalog We use an AWS Glue crawler to infer metadata from delimited data files like the CSV files used in this post. These two columns together define the validity of the record.

Slice and Dice 98

Slice and Dice Data Warehouse Metrics Metadata 98

Alation

APRIL 12, 2022

Today, the modern CDO drives the data strategy for the entire organization. The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 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

Alation

MAY 12, 2022

But TJX had a flood of data points related to every stage of shipping, making it difficult to decipher and know which data point was most relevant. Searching for an “arrival” date, for instance, returned as many as five data points. 6 Best Practices for Implementing Data Governance in the Manufacturing Industry.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 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

Laminar Security

AUGUST 23, 2023

What are the benefits of cloud data security? Although cloud data security might seem daunting at first, it pays for itself in dividends. A few benefits of establishing a cloud data strategy include: Enabling innovators to leverage data safely. We only use your metadata for further analysis and reporting.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). Cloudera Shared Data Experience (SDX) is a core component of Cloudera Data Platform’s architecture.

Metadata 83

Metadata Data Lake Optimization Modeling 83