IBM Big Data Hub

MAY 9, 2022

These use cases provide a foundation that delivers a rich and intuitive data shopping experience. This data marketplace capability will enable organizations to efficiently deliver high quality governed data products at scale across the enterprise. Multicloud data integration. Read the eBook. Start a trial.

Management 57

Management Data Quality Metadata Data Integration 57

Ontotext

NOVEMBER 4, 2021

As we’ve said again and again, we believe that knowledge graphs are the next generation tool for helping businesses make critical decisions, based on harmonized knowledge models and data derived from siloed source systems. But these tasks are only part of the story. That covers the two webinars that we wanted to present to you today.

Metadata 98

Metadata Visualization Modeling Enterprise 98

IBM Big Data Hub

SEPTEMBER 20, 2022

It’s how top organizations improve customer interactions and accelerate time-to-market for goods and services. Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. It’s not just about granting proper access to data science teams.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

AWS Big Data

AUGUST 15, 2023

Athena provides the connectivity and query interface and can easily be plugged into other AWS services for downstream use cases such as interactive analysis and visualizations. We use the following AWS services in this solution: Amazon Athena – A serverless interactive analytics service.

Recreation/Entertainment 85

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 85

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

AWS Big Data

APRIL 17, 2024

With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine how data is indexed and stored in the cloud. Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics.

Optimization 113

Optimization Snapshot Metadata Cost-Benefit 113

AWS Big Data

SEPTEMBER 13, 2023

To process data effectively, we use AWS Glue , a serverless data integration service that uses the Spark Structured Streaming framework and enables near-real-time data processing. An AWS Glue streaming job can handle large volumes of incoming data from MSK Serverless with IAM authentication.

Data Processing 90

Data Processing Management Interactive Metadata 90

Ontotext

JANUARY 10, 2024

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

NOVEMBER 23, 2023

Keep in mind how named graphs interact with your validation: The SHACL shapes graph will validate the union of all graphs. The next step is to link the data graph to the shapes graph: ex:TolkienDragonShape sh:shapesGraph ex:TolkienShapesGraph. There is no such limitation for the REST API. That is, it validates in bulk.

Data Quality 69

Data Quality Reporting Metadata IT 69

erwin

MAY 2, 2022

Data modeling is a serious scientific method with many rules and best practices. One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. However, it offers two extremely valuable business benefits: reducing data redundancy and improving data integrity.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 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. Those days are long gone if they ever existed.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

JANUARY 11, 2023

The purpose of this program is to build a network of development partners to accelerate the development of connectors that expand the reach of Alation’s data intelligence platform. Alation empowers users to discover the right data via search, understand that data through detailed metadata, and trust that data based on governance and lineage.

Metadata 52

Metadata Interactive Data-driven Consulting 52

AWS Big Data

SEPTEMBER 29, 2023

Analyzing XML files can help organizations gain insights into their data, allowing them to make better decisions and improve their operations. Analyzing XML files can also help in data integration, because many applications and systems use XML as a standard data format. This approach optimizes the use of your XML files.

Metadata 67

Metadata Visualization Data-driven Optimization 67

DataKitchen

SEPTEMBER 21, 2023

After navigating the complexity of multiple systems and stages to bring data to its end-use case, the final product’s value becomes the ultimate yardstick for measuring success. By diligently testing and monitoring data in Use, you uphold data integrity and provide tangible value to end-users.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

AUGUST 7, 2023

The adoption of mutually trusted technology can assist businesses, customers, partners and government authorities in verifying the existence, authenticity and integrity of interactions among parties. Ensuring the authenticity of data is crucial in preventing potential disputes over authorship in multi-party interactions.

Data Governance 67

Data Governance Manufacturing Interactive IoT 67

Ontotext

MAY 16, 2024

This includes defining the underlying drivers (cost containment, process automation, flexible query, regulatory compliance, governance simplification) and prioritizing use cases (data integration, digitalization, enterprise search, lineage traceability, cybersecurity, access control).

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

CIO Business Intelligence

MARCH 6, 2024

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 110

Unstructured Data Dashboards Business Intelligence Data Governance 110

AWS Big Data

FEBRUARY 1, 2023

We also used AWS Lambda for data processing. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

AWS Big Data

OCTOBER 11, 2023

The data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis. Data analysis – In this stage, the files are transformed using AWS Glue and stored in the AWS Glue Data Catalog.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

Ontotext

FEBRUARY 23, 2023

The engines must facilitate the advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems. This era is over! billion edges.

Metadata 52

Metadata Publishing Optimization Testing 52

datapine

MAY 29, 2019

Each of that component has its own purpose that we will discuss in more detail while concentrating on data warehousing. A solid BI architecture framework consists of: Collection of data. Data integration. Storage of data. Data analysis. Distribution of data. Data integration.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. It compares actual price changes to expected changes based on historical data.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Cloudera

JUNE 6, 2019

When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake.

Metadata 85

Metadata Data Lake Optimization Strategy 85

AWS Big Data

JUNE 12, 2023

Acting as a bridge between producer and consumer apps, it enforces the schema, reduces the data footprint in transit, and safeguards against malformed data. AWS Glue is an ideal solution for running stream consumer applications, discovering, extracting, transforming, loading, and integrating data from multiple sources.

Management 76

Management Metadata Testing Internet of Things 76

Ontotext

SEPTEMBER 2, 2020

Instead, it creates a unified way, sometimes called a data fabric, of accessing an organization’s data as well as 3rd party or global data in a seamless manner. Data is represented in a holistic, human-friendly and meaningful way. For efficient drug discovery, linked data is key.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. All the metadata of the tables is stored in the AWS Glue Data Catalog, including the Hudi tables.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Ontotext

DECEMBER 30, 2022

Metadata Studio – our new product for streamlining the development and operation of solutions involving text analysis. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation. GraphDB: Faster and more versatile.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

AWS Big Data

FEBRUARY 2, 2023

For Report path prefix , enter cur-data/account-cur-daily. For Enable report data integration for , select Amazon Athena. In this section, we use Athena to create and define AWS Glue Data Catalog tables for the data that has been created using Cost and Usage Reports and Amazon S3 Inventory reports. Choose Next.

Reporting 84

Reporting Data Lake Management Optimization 84

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Octopai

SEPTEMBER 27, 2023

Octopai’s revolutionary support for Databricks, emphasizes real-time data lineage and unparalleled simplicity. By emphasizing real-time data lineage and simplicity, we’re redefining how businesses interact with Databricks. Migrations to Databricks: Ensure a smooth transition of their data processes.

Metadata 52

Metadata Visualization Data Integration Data-driven 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

AWS Big Data

NOVEMBER 29, 2023

The dbt-glue adapter democratized access for dbt users to data lakes, and enabled many users to effortlessly run their transformation workloads on the cloud with the serverless data integration capability of AWS Glue. From the launch of the adapter, AWS has continued investing into dbt-glue to cover more requirements.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

O'Reilly on Data

MAY 21, 2019

Not surprisingly, data integration and ETL were among the top responses, with 60% currently building or evaluating solutions in this area. In an age of data-hungry algorithms, everything really begins with collecting and aggregating data. Metadata and artifacts needed for audits. and managed services in the cloud.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238