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 have built a dataset using schema.org to model and structure this content into a knowledge graph.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

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. One notable drawback of this replication model is its susceptibility to slowdowns in the event of any impairment in the write path.

Metadata 101

Metadata Broadcasting Data Processing Modeling 101

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 102

Metadata Modeling Data Processing Unstructured Data 102

AWS Big Data

JULY 14, 2023

The FinAuto team built AWS Cloud Development Kit (AWS CDK), AWS CloudFormation , and API tools to maintain a metadata store that ingests from domain owner catalogs into the global catalog. The global catalog is also periodically fully refreshed to resolve issues during metadata sync processes to maintain resiliency.

Finance 86

Finance Metadata Big Data Recreation/Entertainment 86

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

Alation

MAY 19, 2022

Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Establish what data you have. And its applications are growing.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis.

Data Processing 99

Data Processing Metadata Informatics Interactive 99

AWS Big Data

MARCH 19, 2024

further simplifies integration with artificial intelligence (AI) and machine learning (ML) models, facilitating the implementation of semantic search. Combining lexical and vector search improves the quality of search results by using their best features in a hybrid model. OpenSearch Service 2.11 OpenSearch Service 2.11

Data Processing 70

Data Processing Modeling Machine Learning Metadata 70

erwin

APRIL 16, 2021

erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. This model has been dubbed the Medici maturity model – named after Romina Medici , head of data management and governance for global energy provider E.ON. erwin Data Intelligence.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building. Abstract art and knowledge graphs: embracing your mess!

Metadata 78

Metadata Sales Consulting Enterprise 78

Cloudera

AUGUST 26, 2021

Before we jump into the data ingestion step, here is a quick overview of how Ozone manages its metadata namespace through volumes, buckets and keys. . If created using the Filesystem interface, the intermediate prefixes ( application-1 & application-1/instance-1 ) are created as directories in the Ozone metadata store. s3 = boto3.resource('s3',

Data Science 109

Data Science Forecasting Metadata Machine Learning 109

Ontotext

SEPTEMBER 15, 2020

This means the creation of reusable data services, machine-readable semantic metadata and APIs that ensure the integration and orchestration of data across the organization and with third-party external data. This means having the ability to define and relate all types of metadata. Create a human AND machine-meaningful data model.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

JULY 20, 2023

The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table. Apache Hive, Apache Spark, Presto, and Trino can all use a Hive Metastore to retrieve metadata to run queries.

Data Lake 83

Data Lake Metadata Data Processing Big Data 83

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications.

Cost-Benefit 97

Cost-Benefit Visualization Modeling Machine Learning 97

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. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

erwin

AUGUST 28, 2020

Data has always been important to erwin; we’ve been a trusted data modeling brand for more than 30 years. These include data catalog , data literacy and a host of built-in automation capabilities that take the pain out of data preparation. The Best Data Governance Solution.

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 332

Management Machine Learning Experimentation Metrics 332

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. It is also agnostic to where the different domains are hosted.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 93

Data Governance Metadata Enterprise Data Processing 93

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 88

Enterprise Data Warehouse Snapshot Cost-Benefit 88

Octopai

MARCH 16, 2020

Access all your business intelligence processes and information from wherever you are, on a single centralized cloud metadata platform. Hosting an on-site server and requiring people to be in the office physically just isn’t possible in many circumstances around the world. Businesses have more data than ever to manage, find, and match.

Business Intelligence 52

Business Intelligence Metadata Data Processing Reporting 52

Domino Data Lab

OCTOBER 1, 2020

Combining the power of Domino Data Labs with Okera, your data scientists only get access to the columns, rows, and cells allowed, easily removing or redacting sensitive data such as PII and PHI not relevant to training models. So what does this look like? client('s3') obj = s3.get_object(Bucket='clinical-trials',

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

Domino Data Lab

OCTOBER 9, 2019

NOAA hosts a unique concentration of the world’s climate science research throughout its labs and other centers, with experts in closely adjacent fields: polar ice, coral reef health, sunny day flooding, ocean acidification, fisheries counts, atmospheric C02, sea-level rise, ocean currents, and so on. Metadata Challenges.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Ontotext

NOVEMBER 22, 2020

Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects. The Platform is able to generate the initial Semantic Objects model, which can be modified and extended by the business user without having to work directly with the underlying knowledge graphs.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

CIO Business Intelligence

JUNE 6, 2023

Here are three examples of organizations that unlocked increased value from hybrid data models: A large African telecommunications company was able to build up its analytics once and then deploy them on whatever infrastructure was available in the specific country of the African continent. That means security, governance, and metadata.

Insurance 52

Insurance Metadata Data Processing Machine Learning 52

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 90

Data-driven Advertising Metadata Data Architecture 90

datapine

SEPTEMBER 29, 2022

These needs are then quantified into data models for acquisition and delivery. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. The captured data points should be modeled and defined based on specific characteristics (e.g.,

Data Quality 241

Data Quality Metrics Data-driven Management 241

Smart Data Collective

APRIL 14, 2021

With this tool, analysts are able to visualize complex data models in Python, SQL, and R. it offers data connectors, visualization layers, and hosting all in one package, making it ideal for teams that are data-driven with limited resources. It also comes with data caching capabilities that enable fast querying.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

AWS Big Data

MARCH 10, 2023

Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. The transformed zone is an enterprise-wide zone to host cleaned and transformed data in order to serve multiple teams and use cases. Dimension-based models have been used extensively to build data warehouses.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

AWS Big Data

MARCH 30, 2023

Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads. Solution overview ACK lets you define and use AWS service resources directly from Kubernetes, using the Kubernetes Resource Model (KRM). We use the s3.yaml

Data-driven 75

Data-driven Metadata Testing Management 75

Rita Sallam

APRIL 2, 2023

Interpretation of our machine learning model suggests buying $50k in building coverage and $100k in warehouse content coverage, as the latter significantly boosts predicted flood claim payouts. Pattern-basis can also consist of gradual drift and shift of workload patterns and this can be built into a predictive efficiency model.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. Please note that use cases could include but are not limited to: risk modeling, sentiment analysis, next best action recommendation, anomaly detection, natural language generation, and more.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

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 99

Analytics IoT Metadata Internet of Things 99

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.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Cloudera

JUNE 25, 2021

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. Hive database, table metadata along partitions, Hive UDFs and column statistics.

Data Lake 69

Data Lake Metadata Unstructured Data Management 69

AWS Big Data

JULY 20, 2023

This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon SageMaker is used to build, train, and deploy a range of ML models. Additionally, SageMaker training jobs are employed for training the models. This ensures that the data is suitable for training purposes.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90