Cloudera

JUNE 25, 2021

The Replication Manager support matrix is documented in our public docs. While using CDH on-premises cluster or CDP Private Cloud Base cluster, make sure that the following ports are open and accessible on the source hosts to allow communication between the source on-premise cluster and CDP Data Lake cluster.

Data Lake 69

Data Lake Metadata Unstructured Data Management 69

AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. For detailed release documentation with sample code, visit the Apache Airflow v2.4.0 How dynamic task mapping works Let’s see an example using the reference code available in the Airflow documentation. Release Notes.

Testing 100

Testing Experimentation Management Metadata 100

AWS Big Data

NOVEMBER 16, 2023

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

AWS Big Data

MARCH 13, 2024

In this model, the Lambda function is invoked for each incoming event. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 94

Analytics IoT Metadata Internet of Things 94

AWS Big Data

APRIL 17, 2024

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. The replica copies subsequently download newer segments and make them searchable.

Optimization 113

Optimization Snapshot Metadata Cost-Benefit 113

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. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

SEPTEMBER 1, 2020

Stores source documents. Solr indexes source documents to make them searchable. With HDFS, Solr servers are essentially stateless, so host failures have minimal consequences. By encapsulating Kerberos, it eliminates the need for client software or client configuration, simplifying the access model.

Snapshot 67

Snapshot Unstructured Data Dashboards Interactive 67

AWS Big Data

MARCH 19, 2024

further simplifies integration with artificial intelligence (AI) and machine learning (ML) models, facilitating the implementation of semantic search. These traditional lexical search algorithms match user queries with exact words or phrases in your documents. The introduction of the neural search feature in OpenSearch Service 2.9

Data Processing 70

Data Processing Modeling Machine Learning Metadata 70

AWS Big Data

FEBRUARY 1, 2024

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. Next, we use Amazon SageMaker JumpStart to fine-tune the Llama 2 model with the preprocessed dataset.

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

AWS Big Data

JANUARY 10, 2024

During the query phase of a search request, the coordinator determines the shards to be queried and sends a request to the data node hosting the shard copy. The query is run locally on each shard and matched documents are returned to the coordinator node.

Metadata 95

Metadata Broadcasting Data Processing Modeling 95

IBM Big Data Hub

APRIL 11, 2024

In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. Bolster development teams by inviting diverse, multidisciplinary teams to join them in these workshops as they assess ethics and model risk.

Risk 78

Risk Consulting Modeling Data Processing 78

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. High variance in a model may indicate the model works with training data but be inadequate for real-world industry use cases.

Enterprise 79

Enterprise Data Integration Data Quality Contextual Data 79

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). We have cataloging inside Datasphere: It allows you to catalog, manage metadata, all the SAP data assets we’re seeing,” said JG Chirapurath, chief marketing and solutions officer for SAP. “We

Unstructured Data 110

Unstructured Data Dashboards Business Intelligence Data Governance 110

erwin

AUGUST 28, 2020

A greater ability to respond to compliance audits: Take the pain out of preparing reports and respond more quickly to audits with better documentation of data lineage. Data has always been important to erwin; we’ve been a trusted data modeling brand for more than 30 years. The Best Data Governance Solution.

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. For orchestration, they use the AWS Cloud Development Kit (AWS CDK) for infrastructure as code (IaC) and AWS Glue Data Catalogs for metadata management.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

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. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise. IBM watsonx.ai

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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. You can choose to host your collection on a public endpoint or within a VPC. The vector index supports up to 1,000 fields.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Cloudera

JANUARY 21, 2021

By separating the compute, the metadata, and data storage, CDW dynamically adapts to changing workloads and resource requirements, speeding up deployment while effectively managing costs – while preserving a shared access and governance model. If the data is already there, you can move on to launching data warehouse services.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. A data fabric has the same model but it adds a set of capabilities that continuously monitor the whole landscape, and continuously update the intelligent part that infers insight as new data is discovered and/or added.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JANUARY 17, 2023

Great data science tools will assist data scientists and citizen data scientists in testing and training datasets for developing models, and ultimately for deploying them. Cloud-based data warehouses are hosted on the cloud and can be accessed from anywhere. You can also create documentation or video tutorials.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

OCTOBER 7, 2021

difficulty to achieve cross-organizational governance model). Data and Metadata: Data inputs and data outputs produced based on the application logic. Infrastructure Environment: The infrastructure (including private cloud, public cloud or a combination of both) that hosts application logic and data.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

Ontotext

FEBRUARY 21, 2024

RAG and Ontotext offerings: a perfect synergy RAG is an approach for enhancing an existing large language model (LLM) with external information provided as part of the input prompt, or grounding context. So we can easily integrate the information from both textual documents and structured RDF entities into an LLM-driven application.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. What frameworks and operating models have you seen work well? First, document your successes of good data, and how it happened.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started. doc = nlp(text)?? for token in doc:?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Jet Global

FEBRUARY 23, 2024

Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality. Business applications use metadata and semantic rules to ensure seamless data transfer without loss.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. It is organized to create a top-down model that is used for analysis and reporting.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52