Alation

FEBRUARY 13, 2020

Why do we need a data catalog? What does a data catalog do? These are all good questions and a logical place to start your data cataloging journey. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics. Figure 1 – Data Catalog Metadata Subjects.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

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. Each team should be accountable for providing their prepared data sets to downstream systems.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Smart Data Collective

APRIL 5, 2022

It allows people with excess computing resources to sell them to data scientists in exchange for cryptocurrencies. Data scientists can access remote computing power through sophisticated networks. Companies and individuals with the computing power that data scientists might need are able to sell it in exchange for cryptocurrencies.

Cost-Benefit 124

Cost-Benefit Machine Learning Data Science Unstructured Data 124

Cloudera

OCTOBER 11, 2022

The article goes on to share insights from experts at Gartner, PwC, John Deere, and Cloudera that shine a light on the critical role that data plays in scaling AI. . The challenge for AI is how to do data in all its complexity – volume, variety, velocity. But it isn’t just aggregating data for models.

Snapshot 94

Snapshot Data Science Digital Transformation Metadata 94

Smart Data Collective

MAY 11, 2023

Since the launch of Smart Data Collective, we have talked at length about the benefits of AI for mobile technology. AI analytics is a part of business intelligence that uses machine learning to find patterns and relationships in data. It automates tasks that a data analyst would typically do.

Cost-Benefit 98

Cost-Benefit Optimization Data-driven Marketing 98

Octopai

OCTOBER 3, 2019

Whether organically, by merger or acquisition , or even by both, new data assets are being acquired or created, and all of them are growing by ever-greedier data collection methods. How do you get enough of a handle on all this data to understand what you have and how to exploit it? Building a Data Catalog?

Enterprise 41

Enterprise Metadata Data Warehouse Consulting 41

Smart Data Collective

APRIL 14, 2021

If you occasionally run business stands in fairs, congresses and exhibitions, business stands designers can incorporate business intelligence to aid in better business and client data collection. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting. Boost revenue.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

Anmut

OCTOBER 29, 2020

How do governments and international institutions prepare for the unpreparable while managing data successfully? Indeed, real-time data is crucial and is the only key to understand the current crisis and its effects. This ongoing trade-off between reporting timely and accurate information strains the reliability of the data.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. That data is never as stable as we’d like to think.

Management 339

Management Machine Learning Experimentation Metrics 339

Octopai

OCTOBER 11, 2021

Haystacks and gigantic malls have NOTHING on data repositories. Unlike the rock collection or shell collection you may have had as a child, you don’t collect data in order to have a data collection. You collect data to use it. It’s what turns data collection into data empowerment.

Metadata 90

Metadata Data Collection Optimization IT 90

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book?—?for finished his first novel, Cuckoo’s Calling.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

APRIL 28, 2023

New rules around data sovereignty are designed to keep data out of the hands of other countries, bad actors, and those without authorised access. Data sovereignty is the right to control citizens’ data collection, ownership, and application.

Metadata 52

Metadata Data Collection Management Strategy 52

O'Reilly on Data

JULY 28, 2020

Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources. Identifying the problem.

Marketing 363

Marketing Experimentation Metrics Testing 363

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. classification problem. Figure 01: Is this a chihuahua or a muffin?

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

CIO Business Intelligence

MARCH 23, 2023

New rules around data sovereignty are designed to keep data out of the hands of other countries, bad actors, and those without authorized access. Data sovereignty is the right to control citizens’ data collection, ownership, and application. CLOUD Act, which could result in the U.S. based company.

Metadata 52

Metadata Data Governance Data Collection Strategy 52

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post. Choose Run.

Analytics 95

Analytics IoT Metadata Internet of Things 95

CIO Business Intelligence

MARCH 29, 2022

The same principle applies to getting value from data. Organizations may acquire a lot of data, but they aren’t getting much value from it. It is estimated that nearly 75% of the data that enterprises collect remains unused, and thus, the value is not realized. What is data waste, and why does it happen?

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Ontotext

FEBRUARY 14, 2024

CEEL is now immediately available as part of our text analysis offerings, coming preconfigured as part of the new version of the Ontotext Metadata Studio (OMDS). Entity linking is the process of automatically linking entity mentions from text to the corresponding entries in a knowledge base. Out of the box, the model links to Wikidata IDs.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

Alation

JUNE 16, 2021

Alation has been named the #1 data catalog in Dresner Advisory Services’ 2021 Wisdom of Crowds® Data Catalog Market Study. Vendor ratings are based on feedback from actual data-catalog users, making this the only market study on data catalogs of its kind. The ease of finding data is tied to data leadership.

Reporting 52

Reporting Business Intelligence Data Governance Metadata 52

bridgei2i

MARCH 11, 2021

With improved data cataloging functionality, their systems can become responsive. It’ll become easier to store metadata (data lakes, warehouses, data quality systems, etc.) Over time, as more data is constantly fed to the responsive system, ML algorithms improve their efficiency. in the system.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

erwin

DECEMBER 20, 2018

The Top 6 Benefits of Data Governance. www.erwin.com/blog/top-6-benefits-of-data-governance/. GDPR went into effect for businesses trading with the European Union, including hefty fines for noncompliance with its data collection, storage and usage standards. Data Governance 2.0 for Financial Services.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Peter James Thomas

AUGUST 29, 2018

Hello Christopher, can you start by providing readers with a flavour of your career to date and perhaps also explain why you came to focus on the data arena. I have accountability for the governance and quality through those processes and for making the data available for downstream consumers, like Analytics, Risk, Finance and HR.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

Data Lake 94

Data Lake Data Warehouse IT Analytics 94

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

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Dashboards 96

Dashboards Analytics Metadata Data Warehouse 96

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. After discussing the requirements, we recommended using Amazon EMR Serverless as their platform for data preprocessing. It is continuously updated.

Metadata 97

Metadata Modeling Data Processing Unstructured Data 97

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

CIO Business Intelligence

JANUARY 30, 2024

That means ensuring ESG data is available, transparent, and actionable, says Ivneet Kaur, EVP and chief information technology officer at identity services provider Sterling. CIOs are in a unique position to drive data availability at scale for ESG reporting as they understand what is needed and why, and how it can be done.” “The

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Octopai

AUGUST 26, 2021

The entry features the data asset description (i.e. the stalk of barley symbol and the circular numeral signs) and the data owner (i.e. This data catalog didn’t need automation. It was perfectly reasonable for an individual to manually manage a Sumerian data collection (especially if you paid him enough barley).

Metadata 52

Metadata Cost-Benefit Data Collection Reporting 52

Cloudera

AUGUST 30, 2022

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Towards Data Science ).

Data Architecture 79

Data Architecture Data Lake Metadata Data Warehouse 79