erwin

FEBRUARY 28, 2024

At Sparkle, we’re a holistic data partner helping organizations increase their data maturity in a strategic yet pragmatic way. One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Alation

AUGUST 18, 2022

How do you approach data lineage? We all know that data lineage is a complex and challenging topic. In this blog, I am drilling into something I’ve been thinking about and studying for a long time: fundamental approaches to lineage creation and maintenance. What Is Data Lineage Creation & Maintenance?

Metadata 69

Metadata Visualization Statistics Data Architecture 69

DataKitchen

AUGUST 9, 2021

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. Source: Thoughtworks.

Testing 246

Testing Data Lake Metadata Publishing 246

Alation

FEBRUARY 7, 2023

There was a software product demo showcasing its ability to scan every layer of your application code, and I was intrigued to see how it worked. The product collected an impressive amount of metadata, from the user interface to the database structure. That was my earliest taste of data lineage. Or so I thought.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

Octopai

MARCH 23, 2022

Dirty Meat… and Dirty Data. Mass production. But even though “dirty meat” is a small concern, “dirty data” is the scourge of any industry that relies heavily on information systems. While “dirty data” doesn’t sound as threatening as “dirty meat” (after all, it’s your computer ingesting it, not you), don’t be deceived.

Data Quality 91

Data Quality Reporting Modeling Interactive 91

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud. It works in Salesforce just like any other native Salesforce data,” Carlson said.

Data Integration 64

Data Integration Data Lake Metadata Data Warehouse 64

DataKitchen

DECEMBER 6, 2022

The document they wrote is exceptionally close to what we see in the market and what our products do ! The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. Orchestration : Connectivity, workflow automation, lineage, scheduling, logging, troubleshooting, and alerting.

Software 130

Software Marketing Data Lake Testing 130

Octopai

APRIL 20, 2023

Octopai has recently expanded its offerings by introducing unique and comprehensive DAX (Data Analysis Expressions) coverage support for Power BI, SSRS (SQL Server Reporting Services), and Tabular Analysis Services. To compute the sales performance metrics, DAX expressions are needed to aggregate the sales data based on different criteria.

Sales 78

Sales Data Governance Reporting Optimization 78

DataKitchen

MAY 4, 2023

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Bergh started by discussing the complexity within data and analytics teams, stating that complexity makes everything more complicated and, in the long run, it kills productivity.

Measurement 130

Measurement Data-driven Testing Cost-Benefit 130

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. Tracing the source of data is an arduous task. With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). (You

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

DataKitchen

JULY 3, 2023

Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. But as we navigate ever-evolving seas of data, it’s high time we reset our course.

Testing 130

Testing Risk Data-driven Statistics 130

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Metrics 82

Metrics Data Quality Data Lake Statistics 82

Cloudera

MARCH 3, 2023

based nVizhen, a data consulting firm, I became a Cloudera partner. We implemented CDP (Cloudera Data Platform) for innovative G2k organizations so they could tackle transformational use cases and exact real-time insights. As a CDO, I need full data life cycle capability. When I joined L.A.-based First, fullness. Second, reach.

Consulting 80

Consulting Machine Learning Analytics IT 80

O'Reilly on Data

FEBRUARY 11, 2019

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. Temporal data and time-series analytics. Deep Learning.

Big Data 209

Big Data Technology Machine Learning Deep Learning 209

Cloudera

AUGUST 3, 2021

Toyota weathered the early chip shortage well with agile and robust supply chains, only to be caught with final assembly production shortages due to consumers rushing to their once robust availability. . In summary, predicting future supply chain demands using last year’s data, just doesn’t work.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Then you must bulk load the legacy data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

IBM Big Data Hub

FEBRUARY 2, 2024

Almost a year ago, IBM encountered a data validation issue during one of our time-sensitive mergers and acquisitions data flows. That is when I discovered one of our recently acquired products, IBM® Databand® for data observability. IBM integrated Databand into our data flow, which comprised over 100 pipelines.

Dashboards 95

Dashboards Statistics Machine Learning Enterprise 95

CIO Business Intelligence

APRIL 4, 2024

Leveraging expertise at software developer Palantir Technologies, Redmond’s team developed a model that consolidated and cleansed the data from those systems, then analyzed it to provide insights — and fairly sophisticated recommendations — to decision makers. It can be faster, more accurate, and make the teams more productive.”

Enterprise 132

Enterprise Cost-Benefit Forecasting Strategy 132

Cloudera

FEBRUARY 16, 2022

The complete list is shown below: Model Lineage . Machine Learning Model Lineage. Before we can understand how model lineage is managed and subsequently audited, we first need to understand some high-level constructs within CML. Within the CML data service, model lineage is managed and tracked at a project level by the SDX.

Machine Learning 82

Machine Learning Modeling Metadata Recreation/Entertainment 82

DataKitchen

JUNE 19, 2023

Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. Given the complicated distributed systems we use to get value from data and the diversity of data, we need a simplifying framework. That idea is the Data Journey.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Domino Data Lab

AUGUST 6, 2021

This includes: Model lineage, from data acquisition to model building Model versions in production, as they are updated based on new data Model health in production with model monitoring principles Model usage and basic functionality in production Model costs. First is the data the model is using.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

Smarten

JANUARY 30, 2024

Self-Serve Data Preparation Transforms Business Users to Citizen Data Scientists! Data Scientists spend a lot of time gathering and preparing data for analysis, and that is time they could spend more productively performing tasks that add value and strategic direction. It’s simple.

Analytics 67

Analytics Data Quality Visualization Metadata 67

erwin

AUGUST 7, 2019

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

NOVEMBER 29, 2023

That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments. It focuses on storing model artifacts in the Model Registry, linking development and production environments.

Modeling 83

Modeling Machine Learning Metadata Metrics 83

IBM Big Data Hub

MARCH 4, 2024

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. times higher ROI.

Enterprise 107

Enterprise ROI Risk Strategy 107

erwin

MARCH 30, 2020

Data intelligence has a critical role to play in the supercomputing battle against Covid-19. While leveraging supercomputing power is a tremendous asset in our fight to combat this global pandemic, in order to deliver life-saving insights, you really have to understand what data you have and where it came from.

Metadata 122

Metadata IT Data Governance Data Quality 122

Alation

JULY 26, 2022

Driving a data culture is now a lot more — well, driven — thanks to the latest of Alation’s 80+ connectors : Power BI Scanner, which unifies self-service and enterprise analytics and allows users to find answers fast with industry-leading AI. Full lineage support for Power BI objects (datasets, reports, tiles, dashboards).

Dashboards 52

Dashboards Metadata Data-driven Business Intelligence 52

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 79

Data Lake Data Architecture Data-driven Data Warehouse 79

Octopai

DECEMBER 26, 2022

One of Amazon’s biggies, the area of 28 football fields with tens of millions of products in it. Migrating a data fulfillment center (i.e. Your data warehouse is not too different from an Amazon fulfillment center. Your old data warehouse has become deprecated. It’s time to commence a data warehouse migration project.

Data Warehouse 85

Data Warehouse Cost-Benefit Recreation/Entertainment Reporting 85

Octopai

OCTOBER 20, 2021

Octopai, the leader in automated data lineage, data catalog and data discovery, announced today its support and analysis of Amazon Redshift, one of the fastest and most widely used cloud data warehouses. Octopai saves time and resources during the process of migration from on-prem/legacy systems to Amazon Redshift.

Metadata 52

Metadata Data Warehouse Enterprise Business Intelligence 52

Octopai

OCTOBER 22, 2020

Where did the data in this report come from? Whether it be banking, healthcare, education, or SaaS, companies constantly wonder about the validity of their data. So, how can BI and analytics teams truly prove that the data can be trusted? They looked at the importance of automated data lineage and how crucial it is for BI teams.

Visualization 60

Visualization Data-driven Strategy Reporting 60

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

erwin

DECEMBER 3, 2020

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 New products and services.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Cloudera

DECEMBER 13, 2023

Implementing a cohesive data vision LGIM’s Global Chief Operating Office is responsible for the company’s technology, data, client servicing and the management of its strategic operating agenda. LGIM’s data ecosystem had become fragmented over time as it had grown.

Management 89

Management Technology Risk Optimization 89