erwin

OCTOBER 16, 2020

Reimagining business, like moving fitness centers outdoors, or developing new products and services, such as restaurants packaging fruits and vegetables to sell as food bundles, or market expansion, like traditional grocers that are becoming online shopping hubs. Parts of this blog are excerpted from my keynote on day No.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

IBM Big Data Hub

JUNE 30, 2022

The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially. Competition plays harder, and every day, new business models and alternatives driven by data and digitalization surface in almost every industry.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. What is a data fabric? See below. .

Data Lake 87

Data Lake Data Architecture Data-driven Data Warehouse 87

Alation

FEBRUARY 20, 2020

Experts who understand certain datasets often play the stewardship role of ensuring that data consumers can make accurate and effective use of data. More recently, data governance initiatives have started to assign formal stewardship responsibility. Cataloging both data and queries provides insight into.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Alation

MARCH 1, 2023

It’s the basis for cryptocurrency, but also has applications in virtually every industry, from finance (capital markets) to retail (supply chain management) and health sciences (medical drug development). We wanted to introduce a Kappa architecture to serve not only our operational data needs, but our analytical data needs too.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 90

Data Architecture Risk Management Risk Management 90

Alation

FEBRUARY 13, 2020

Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market. What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Cloudera

AUGUST 21, 2020

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To start off, what are the advantages of a forward-looking data-in-motion strategy?

Enterprise 63

Enterprise Data Lake Strategy Metadata 63

Ontotext

JANUARY 10, 2024

Often, an enterprise starts with one thing it does well and then adds more business lines to expand the market. This requires new tools and new systems, which results in diverse and siloed data. In both cases, semantic metadata is the glue that turns knowledge graphs into hubs of data, metadata, and content.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 128

Unstructured Data Dashboards Business Intelligence Data Governance 128

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

IBM Big Data Hub

JULY 13, 2023

This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches. Geocoding Geocoding is the process of adding location metadata to an organization’s datasets.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Metrics Data-driven 52

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 76

Data Strategy Strategy Data Warehouse Prescriptive Analytics 76

Alation

JULY 28, 2022

And adoption is so significant that many participants have earned notable market capitalization. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? What Are the Biggest Business Risks to Cloud Data Migration? Parting Words.

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. See Managing LF-Tags for metadata access control for more details. To be able to run effective campaigns, the marketing team needs access to the customer data.

Data Lake 93

Data Lake Data Warehouse Marketing Management 93

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 123

Data Lake Metadata Statistics Optimization 123

Andrew White

JANUARY 9, 2022

What is a Market? . How important is the role of the citizen data scientist, and what recommendations do you have for organizations looking to augment their data science teams by developing analysts and domain experts into this role? For example, you don’t and can’t hire a citizen data scientist or any citizen role.

Analytics 64

Analytics Measurement Data-driven Modeling 64

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

FEBRUARY 20, 2020

According to the report, “Demand for data catalogs is soaring as organizations struggle to inventory distributed data assets to facilitate data monetization and conform to regulations.”

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company.

Data Lake 101

Data Lake Data Warehouse B2B Data-driven 101

IBM Big Data Hub

JULY 5, 2023

Their fast adoption meant that customers soon lost track of what ended up in the data lake. And, just as challenging, they could not tell where the data came from, how it had been ingested nor how it had been transformed in the process. Data governance remains an unexplored frontier for this technology.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60

BI-Survey

FEBRUARY 6, 2020

Although a common data model consisting of aligned structures and measures is needed for consistency and governance , it will not grant business departments the freedom required to efficiently analyze and interpret data. It is crucial to simplify data consumption and access for all users to support self-service requirements.

Reporting 59

Reporting Optimization Enterprise Data Quality 59