O'Reilly on Data

MARCH 31, 2020

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

Management 332

Management Machine Learning Experimentation Metrics 332

Ontotext

MARCH 29, 2021

Vassil Momtchev: RDF-star (formerly known as RDF*) helps in every case, where the user needs to express a complex relationship with metadata associated for a triple like: 1. << Technically speaking, RDF-star is the syntactic sugar, which makes it easier to attach metadata to edges in the graph. source :TheNationalEnquirer ; 3.

Metadata 59

Metadata IT Modeling Experimentation 59

Sisense

JULY 24, 2019

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. There are many activities going on with AI today, from experimental to actual use cases.

Analytics 89

Analytics Experimentation Metadata Big Data 89

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. It doesn’t conform to a data model but does have associated metadata that can be used to group it.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

Cloudera

FEBRUARY 16, 2022

SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets. Further auditing can be enabled at a session level so administrators can request key metadata about each CML process. Figure 03: lineage.yaml.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. There is a lot of deliberation in step two on ensuring that we have an optimal hypothesis to work from. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 104

Metadata Data Lake Publishing Data Governance 104

AWS Big Data

JANUARY 24, 2023

The utility for cloning and experimentation is available in the open-sourced GitHub repository. This solution only replicates metadata in the Data Catalog, not the actual underlying data. Lake Formation permissions In Lake Formation, there are two types of permissions: metadata access and data access.

Data Architecture 68

Data Architecture Metadata Data Lake Snapshot 68

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. On deck this time ’round the Moon: program synthesis. SQL and Spark.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation.

Data Lake 86

Data Lake Snapshot Metadata Optimization 86

Cloudera

JUNE 6, 2019

While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Now the admins need to synchronize multiple copies of the data and metadata and ensure that users across the many clusters are not viewing stale information.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Domino Data Lab

MARCH 20, 2019

Models are so different from software — e.g., they require much more data during development, they involve a more experimental research process, and they behave non-deterministically — that organizations need new products and processes to enable data science teams to develop, deploy and manage them at scale.

Management 97

Management Experimentation Data Science Modeling 97

O'Reilly on Data

JULY 25, 2023

I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much. This theme of sub-optimal defaults will come up repeatedly—that is, ChatGPT ‘knows’ what the optimal choice is but won’t generate it for me without me asking for it.

Consulting 246

Consulting Interactive Software IT 246

AWS Big Data

JULY 20, 2023

Determining optimal table partitioning Determining optimal partitioning for each table is very important in order to optimize query performance and minimize the impact on teams querying the tables when partitioning changes. The following diagram illustrates the solution architecture. Orca addressed this in several ways.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

IBM Big Data Hub

JANUARY 17, 2023

The automated metadata generation is essential to turn a manual process into one that is better controlled. AI is no longer experimental. 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. Start a trial. Data science and MLOps.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. We recognize that many of you are in the experimentation phase and would like a more economical option for dev-test.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It was not optimized to provide correct responses. It has helped to write a book.

IT 262

IT Modeling Testing Risk 262

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. Metadata Studio – our new product for streamlining the development and operation of solutions involving text analysis. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

AWS Big Data

JULY 3, 2023

This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. With scalable metadata indexing, Apache Iceberg is able to deliver performant queries to a variety of engines such as Spark and Athena by reducing planning time.

Snapshot 87

Snapshot Data Lake Testing Strategy 87

Cloudera

APRIL 9, 2019

For example, if you want to optimize for agility and experimentation, you probably will be better off doing so with an ephemeral public cloud infrastructure. An integrated suite of data management and analytics tools in a single platform enables cost-effective delivery of complex, multiple use cases and thus reduces overall TCO.

Strategy 52

Strategy Experimentation Metadata Business Objectives 52

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

MARCH 6, 2023

“Previous tasks such as changing a watermark on an image or changing metadata tagging would take months of preparation for the storage and compute we’d need. Optimizing for innovation Analytics in cloud is also proving key to Shutterstock operations. That is invaluable when optimizing your site.”

Data Lake 70

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 70

Cloudera

JANUARY 11, 2021

Experimental and production workloads access the same data without users impacting each others’ SLAs. Offers a hybrid model that enables you to optimize for cost and investment. You predict your needs and optimize “on-the-fly” so you can further control costs, no matter what the environment. High performance.

Data Warehouse 61

Data Warehouse Data Lake Cost-Benefit Machine Learning 61