AWS Big Data

NOVEMBER 14, 2024

Both Delta Lake and Iceberg metadata files reference the same data files. For more information about the table protocol versions, refer to What is a table protocol specification? in Delta Lake public document. For the information about enabling UniForm, refer to Enable Delta Lake UniForm in the Delta Lake public document.

Metadata 121

Metadata Data Warehouse Big Data Data Lake 121

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. See additional references and resources at the end of this article. OVX Validated Reference Architecture for AI-ready Infrastructures First question: What is OVX validation?

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

O'Reilly on Data

SEPTEMBER 17, 2024

Include documents: You can include documents as part of a prompt. Checking an AI is more like being a fact-checker for someone writing an important article: Can every fact be traced back to a documentable source? Is every reference correct and—even more important—does it exist? It may reduce hallucination.

Modeling 309

Modeling Reporting Sales Testing 309

O'Reilly on Data

MARCH 20, 2019

Data poisoning refers to someone systematically changing your training data to manipulate your model’s predictions. Watermarking is a term borrowed from the deep learning security literature that often refers to putting special pixels into an image to trigger a desired outcome from your model. Data poisoning attacks. Watermark attacks.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

David Menninger's Analyst Perspectives

MAY 22, 2025

Technology supports collaboration by enabling direct communications, facilitating document sharing (where comments by participants are easily accessed) and completing necessary reviews and sign-offs. Software assists in ensuring that steps in the processes are handled completely and correctly.

Software 130

Software Reporting Finance Enterprise 130

O'Reilly on Data

MARCH 25, 2025

What this meant was the emergence of a new stack for ML-powered app development, often referred to as MLOps. Any scenario in which a student is looking for information that the corpus of documents can answer. Wrong document retrieval : Debug chunking strategy, retrieval method. Evaluation is the engine, not the afterthought.

Testing 180

Testing Data-driven Software Measurement 180

AWS Big Data

OCTOBER 11, 2024

Refer to this developer guide to understand more about index snapshots Understanding manual snapshots Manual snapshots are point-in-time backups of your OpenSearch Service domain that are initiated by the user. Snapshots are not instantaneous. They take time to complete and don’t represent perfect point-in-time views of the domain.

Snapshot 110

Snapshot Dashboards Management Testing 110

BA Learnings

JULY 18, 2019

The scrum guide specifically refers to the Product Owner as “ Responsible for the product backlog, its content, availability and ordering”. From Requirements Specification Documents (RSDs) To Product Backlogs RSDs have their merit in the traditional software development lifecycle.

Interactive 266

Interactive Uncertainty Software Management 266

AWS Big Data

NOVEMBER 11, 2024

For log workloads, restore only recent or relevant logs to save time and use this opportunity to purge unnecessary documents or indexes. Create indexes and populate them with documents. We refer to this role as TheSnapshotRole in this post. For the request structure, see Take snapshots in the OpenSearch documentation.

Snapshot 110

Snapshot Strategy Dashboards Data Lake 110

AWS Big Data

NOVEMBER 7, 2024

For more details, refer to the BladeBridge Analyzer Demo. Refer to this BladeBridge documentation to get more details on SQL and expression conversion. If you encounter any challenges or have additional requirements, refer to the BladeBridge community support portal or reach out to the BladeBridge team for further assistance.

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

Rocket-Powered Data Science

FEBRUARY 12, 2021

In the rest of this article, we will refer to IPA as intelligent automation (IA), which is simply short-hand for intelligent process automation. Process automation is relatively clear – it refers to an automatic implementation of a process, specifically a business process in our case. Sound similar?

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

O'Reilly on Data

JUNE 14, 2024

And Miso had already built an early LLM-based search engine using the open-source BERT model that delved into research papers—it could take a query in natural language and find a snippet of text in a document that answered that question with surprising reliability and smoothness.

Metadata 305

Metadata Publishing Data-driven Modeling 305

AWS Big Data

FEBRUARY 21, 2025

Search applications include ecommerce websites, document repository search, customer support call centers, customer relationship management, matchmaking for gaming, and application search. Before FMs, search engines used a word-frequency scoring system called term frequency/inverse document frequency (TF/IDF).

Dashboards 83

Dashboards Modeling Measurement Interactive 83

AWS Big Data

DECEMBER 12, 2024

Complex queries, on the other hand, refer to large-scale data processing and in-depth analysis based on petabyte-level data warehouses in massive data scenarios. Referring to the data dictionary and screenshots, its evident that the complete data lineage information is highly dispersed, spread across 29 lineage diagrams. where(outV().as('a')),

Snapshot 97

Snapshot Recreation/Entertainment Experimentation Data Lake 97

AWS Big Data

NOVEMBER 27, 2024

dbt helps manage data transformation by enabling teams to deploy analytics code following software engineering best practices such as modularity, continuous integration and continuous deployment (CI/CD), and embedded documentation. To add documentation: Run dbt docs generate to generate the documentation for your project.

Data Warehouse 110

Data Warehouse Analytics Testing Sales 110

CIO Business Intelligence

NOVEMBER 19, 2024

Now that we have covered AI agents, we can see that agentic AI refers to the concept of AI systems being capable of independent action and goal achievement, while AI agents are the individual components within this system that perform each specific task. Do you know what the user agent does in this scenario?

Testing 135

Testing Cost-Benefit Interactive ROI 135

CIO Business Intelligence

NOVEMBER 7, 2024

TIAA has launched a generative AI implementation, internally referred to as “Research Buddy,” that pulls together relevant facts and insights from publicly available documents for Nuveen, TIAA’s asset management arm, on an as-needed basis. When the research analysts want the research, that’s when the AI gets activated.

IT 132

IT Manufacturing Data Science Modeling 132

O'Reilly on Data

MARCH 7, 2019

They use a lot of jargon: 10/10 refers to the intensity of pain. Generalized abd radiating to lower” refers to general abdominal (stomach) pain that radiates to the lower back. Jargon refers to the 100-200 new words you learn in the first month after you join a new school or workplace. They don’t have a subject.

Deep Learning 279

Deep Learning Testing Machine Learning Modeling 279

DataKitchen

NOVEMBER 5, 2024

For instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables. Finally, the challenge we are addressing in this document – is how to prove the data is correct at each layer.? Documentation and analysis become natural outcomes, not barriers to progress.

Data Quality 198

Data Quality Testing Metrics Reporting 198

AWS Big Data

OCTOBER 14, 2024

Enhance the table and column descriptions : Documenting table and column descriptions requires a good understanding of the business process, terminology, acronyms, and domain knowledge. This provides a way to document your tables and columns directly from the metadata defined in the underlying database.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

AWS Big Data

APRIL 24, 2025

For more details, refer to Tags for AWS Identity and Access Management resources and Pass session tags in AWS STS. For instructions, refer to Data analyst permissions. For instruction refer to: Job runtime roles for Amazon EMR Serverless Setup EMR Serverless application with Lake Formation enabled.

Sales 91

Sales Data Lake Management Data-driven 91

AWS Big Data

DECEMBER 4, 2024

To learn more, refer to our documentation and the AWS News Blog. This allows for a seamless data ingestion and transformation across multiple data sources.

Visualization 118

Visualization Sales Data-driven Analytics 118

AWS Big Data

OCTOBER 30, 2024

Refer to the detailed blog post on how you can use this to connect through various other tools. Get started with our technical documentation. You can now use your tool of choice, including Tableau, to quickly derive business insights from your data while using standardized definitions and decentralized ownership.

Analytics 118

Analytics Visualization Data Governance Data-driven 118

CIO Business Intelligence

MAY 20, 2025

In addition, SAP Business Network Asset Collaboration (BNAC) will integrate with cloud-based ERP, gaining bi-directional integration of materials and models between BNAC and ERP systems, integration of inspection checklists, and additional application server document uploads to reduce data entry.

IT 106

IT Manufacturing Finance Enterprise 106

AWS Big Data

APRIL 9, 2025

Refer to the product documentation to learn more about how to set up metadata rules for subscription and publishing workflows. Start using this enhanced search capability today and experience the difference it brings to your data discovery journey.

Metadata 111

Metadata Metrics Cost-Benefit Data-driven 111

AWS Big Data

MAY 2, 2025

They consist of: A data sample of the documents you want to index. A pipeline of processors that apply transforms on ingested documents. An index constructed from the processed documents. From the designer, we see that Cohere Rerank requires a list of documents and the query context as input.

Machine Learning 90

Machine Learning Visualization Dashboards Metadata 90

Smart Data Collective

SEPTEMBER 29, 2022

One study by Think With Google shows that marketing leaders are 130% as likely to have a documented data strategy. Optical Character Recognition, or OCR, is a technology for reading documents and extracting data. Optical Character Recognition, or OCR, is a technology for reading documents and extracting data.

Data-driven 145

Data-driven Data Quality Optimization Insurance 145

AWS Big Data

JANUARY 6, 2025

In your Google Cloud project, youve enabled the following APIs: Google Analytics API Google Analytics Admin API Google Analytics Data API Google Sheets API Google Drive API For more information, refer to Amazon AppFlow support for Google Sheets. Refer to the Amazon Redshift Database Developer Guide for more details.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

CIO Business Intelligence

FEBRUARY 26, 2025

The term refers in particular to the use of AI and machine learning methods to optimize IT operations. In addition, there is often a lack of clear documentation and a deep understanding of the existing architecture. According to Henckel, the age structure in the admin area and a lack of documentation further complicates modernization.

IT 85

IT Cost-Benefit Optimization Machine Learning 85

Smart Data Collective

MARCH 23, 2022

E-signatures, or the digitized or scanned version of handwritten signatures, improve business processes, allowing fast signing and approval of documents. They are used to verify digital documents and messages. They can manipulate systems, show fake messages to validate signatures, and add content to already signed digital documents.

IoT 134

IoT Internet of Things Digital Transformation Manufacturing 134

AWS Big Data

MARCH 10, 2025

You can use the query from the Amazon Redshift documentation and add the same start and end times. Our findings serve as a reference point rather than a universal benchmark. Although our test results serve as a reference point, each organization should evaluate their specific workload requirements and price-performance targets.

Optimization 90

Optimization Data Warehouse Data-driven Testing 90

AWS Big Data

NOVEMBER 17, 2023

For more information, refer SQL models. During the run, dbt creates a Directed Acyclic Graph (DAG) based on the internal reference between the dbt components. For more information, refer to Redshift set up. For creation instructions, refer to Create a cluster. Refer to installation for more information.

Snapshot 110

Snapshot Data Processing Testing Data Warehouse 110

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. End-users often struggle to find relevant information buried within extensive documents housed in data lakes, leading to inefficiencies and missed opportunities.

Data Lake 114

Data Lake Cost-Benefit Unstructured Data Modeling 114

datapine

SEPTEMBER 29, 2022

Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose. While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

APRIL 30, 2025

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. Think summarizing, reviewing, even flagging risk across thousands of documents. Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion.

IT 139

IT Sales Cost-Benefit Data-driven 139

AWS Big Data

MARCH 13, 2024

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. We introduce the integration of Ray into the RAG contextual document retrieval mechanism. Outputs[?

Data Processing 132

Data Processing Dashboards Machine Learning Metrics 132

AWS Big Data

JULY 25, 2024

With CloudSearch, you can search large collections of data such as webpages, document files, forum posts, or product information. You send your documents to OpenSearch Serverless, which indexes them for search using the OpenSearch REST API. Because OpenSearch Service uses a REST API, numerous methods exist for indexing documents.

Cost-Benefit 126

Cost-Benefit Machine Learning Dashboards Management 126