Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

AWS Big Data

MAY 7, 2024

What’s covered in this post is already implemented and available in the Guidance for Connecting Data Products with Amazon DataZone solution, published in the AWS Solutions Library. It offers AWS Glue connections and AWS Glue crawlers as a means to capture the data asset’s metadata easily from their source database and keep it up to date.

Metadata 74

Metadata Data Lake Data Processing Data-driven 74

Domino Data Lab

APRIL 3, 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. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. We keep feeding the monster data.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

JANUARY 15, 2021

McKnight Consulting Group recently published their own third party benchmark study comparing the price-performance of Cloudera Data Warehouse to 4 other prominent cloud data warehouse vendors. This provides consistent security and metadata architecture as CDW interacts with other services within CDP. higher cost. Benchmark Description.

Data Warehouse 92

Data Warehouse Cost-Benefit Consulting Interactive 92

AWS Big Data

APRIL 25, 2023

AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. Upon a successful file transfer, Step Functions publishes an event in the consumer account’s EventBridge.

Sales 69

Sales Visualization Software Marketing 69

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively.

Metadata 57

Metadata Data Quality Machine Learning Statistics 57

AWS Big Data

JANUARY 16, 2024

The need for Amazon MWAA disaster recovery Amazon MWAA, a fully managed service for Apache Airflow , brings immense value to organizations by automating workflow orchestration for extract, transform, and load (ETL), DevOps, and machine learning (ML) workloads. This makes it difficult to implement a comprehensive DR strategy.

Strategy 100

Strategy Metadata Metrics Dashboards 100

Cloudera

FEBRUARY 22, 2022

Companies such as Adobe , Expedia , LinkedIn , Tencent , and Netflix have published blogs about their Apache Iceberg adoption for processing their large scale analytics datasets. . In CDP we enable Iceberg tables side-by-side with the Hive table types, both of which are part of our SDX metadata and security framework.

Snapshot 105

Snapshot Metadata Cost-Benefit Data Architecture 105

DataRobot Blog

MARCH 9, 2022

This article was originally published at Algorithimia’s website. The Amazon Product Reviews Dataset provides over 142 million Amazon product reviews with their associated metadata, allowing machine learning practitioners to train sentiment models using product ratings as a proxy for the sentiment label. It provides 1.6

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

AWS Big Data

SEPTEMBER 13, 2023

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ).

Data Lake 90

Data Lake Data Processing Metadata Snapshot 90

AWS Big Data

APRIL 12, 2023

Also, you can run other types of business applications, such as web applications and machine learning (ML) TensorFlow workloads, on the same EKS cluster. We also share a Spark benchmark solution that suits all Amazon EMR deployment options, so you can replicate the process in your environment for your own performance test cases.

Testing 73

Testing Big Data Metadata Optimization 73

AWS Big Data

OCTOBER 2, 2023

The base construct to access streaming data in Amazon Redshift provides metadata from the source stream (attributes like stream timestamp, sequence numbers, refresh timestamp, and more) and the raw binary data from the stream itself. After you create and test the Lambda function, you can define it as a UDF in Amazon Redshift.

Cost-Benefit 85

Cost-Benefit Metadata Structured Data Management 85

AWS Big Data

JUNE 13, 2023

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Administrators can publish QuickSight applications on the Keycloak Admin console. Choose Import client.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

IBM Big Data Hub

FEBRUARY 22, 2024

Providing interpretable AI model metadata (for example, as factsheets ) specifying accountable persons, performance benchmarks (compared to human), data and methods used, audit records (date and by whom), and audit purpose and results. Capture key metadata to render AI models transparent and keep track of model inventory.

Metadata 101

Metadata Measurement Risk Modeling 101

Insight

MAY 16, 2019

Computer vision has also been used in solving some of humanity’s grand challenges, like Stanford University’s Sustainability and Artificial Intelligence Lab project that combines satellite imagery and machine learning to predict poverty. Image metadata such as properties and bounding box coordinates are saved as XML.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

IBM Big Data Hub

MARCH 25, 2022

These services include the ability to auto-discover and classify data, to detect sensitive information, to analyze data quality, to link business terms to technical metadata and to publish data to the knowledge catalog.

Metadata 114

Metadata Data Quality Data Governance Data Integration 114

IBM Big Data Hub

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”. Data discoverability.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. IBM watsonx.ai With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

AWS Big Data

JULY 26, 2023

The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

AUGUST 8, 2019

Rather than publish an agenda as most technology conferences do, why not let people mingle, discuss, and propose topics and possible sessions? Latest in machine learning research centers rapidly expanding in Africa? then building machine learning models to recommend methods and potential collaborators to scientists.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

Domino Data Lab

JULY 21, 2019

But you also need to have metadata around the data. And what you really need is you want the data users to be to be involved in the metadata documentation. Now what we’re trying to do is we’re trying to build a modern data factory, a modern approach to automate the generation of the metadata.

Metadata 65

Metadata Statistics Risk Machine Learning 65

Smart Data Collective

DECEMBER 19, 2019

According to GlobeNewswire , over 61% of business professionals agree that AI and Machine Learning are the most significant data initiative in their organizations. Different machine learning and AI systems consume a massive amount of data. Thus, AI learns to provide perfect predictions on the next possible step.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

AWS Big Data

FEBRUARY 6, 2023

Operationalizing machine learning (ML) is another growing use case, where data has to be transformed and normalized before it can be loaded into an ML model. The logs generated by EMR jobs are published to a S3 bucket; the correlation_id is part of the LogUri as well. The following diagram illustrates the solution architecture.

Management 82

Management Interactive Metadata Publishing 82

O'Reilly on Data

APRIL 2, 2019

Why companies are turning to specialized machine learning tools like MLflow. A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. The upcoming 0.9.0

Machine Learning 203

Machine Learning Modeling Data Science Software 203

Andrew White

JANUARY 11, 2021

Gartner also published the same piece of research for other roles, such as Application and Software Engineering. The work of data science is more tied to machine learning and so AI and those projects do not focus only on analysis but also automation. We publish research for small organizations, not just larger organizations.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

FEBRUARY 23, 2024

Business applications use metadata and semantic rules to ensure seamless data transfer without loss. Finally, test and automate your data mapping process. Start by mapping a small quantity of data and test and address any problems that arise. Complex transformations like tree join, normalize, and denormalize are also available.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

Metadata Self-service analysis is made easy with user-friendly naming conventions for tables and columns. Later on, you’ll appreciate being able to test ideas and leverage best practices as your needs evolve. addresses). Strategic Objective Create an efficient user experience that allows users to immediately act on insights.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52