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. Octopai’s support for Databricks is a game-changer.

Metadata 52

Metadata Visualization Data Integration Data-driven 52

Jen Stirrup

MARCH 29, 2023

Despite technological advances, businesses still need help working with data. Data is complex, and companies often need to catch up on what they are trying to achieve. They are also starting to realize – and accept – that data is challenging. This post was kindly supported by SAP. Why is this interesting?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

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

Ontotext

MAY 16, 2024

Industry analyst reports place contextualized information and graph technologies at the center of their impact radar for emerging technologies. Acknowledging the significance of how these critical enablers define, contextualize, and constrain data for consistency and trust, is all part of the maturity process for today’s enterprise.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

IBM Big Data Hub

AUGUST 7, 2023

They are easier to use and can reduce operational and development costs compared to decentralized ledger technologies. However, existing blockchain databases lack efficient tools for multiple parties to control shared data on the ledger.

Data Governance 65

Data Governance Manufacturing Interactive IoT 65

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. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

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. Ontotext’s GraphDB Give it a try today!

Publishing 52

Publishing Metadata Optimization Testing 52

erwin

AUGUST 31, 2023

In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. The history The history of data modeling traces back to the early days of computing when databases were first developed.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

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. The second webinar in focus is Graph Path Search with GraphDB 9.9

Metadata 98

Metadata Visualization Modeling Enterprise 98

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. Why do risk and opportunity events matter?

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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

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 56

Metadata Machine Learning Data-driven Modeling 56

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 90

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 90

datapine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

AWS Big Data

OCTOBER 11, 2023

Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance. Architecture overview The architecture uses AWS serverless technology for the implementation. Then you can use Amazon Athena V3 to query the tables in the Data Catalog.

Visualization 99

Visualization Dashboards Data-driven Gap analysis 99

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

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 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Ontotext

DECEMBER 30, 2022

Those are bold plans, because in 2022 we received recognition for what we’ve achieved through investment to help us expand, accelerate growth and engage the market with the technology we’ve been developing for 20 years. 9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

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

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 86

Metadata Data Lake Optimization Strategy 86

Ontotext

SEPTEMBER 2, 2020

This technology enabled strategic and commercial supremacy for hundreds of years until the recipe was lost. The use of open source technology and open APIs avoid data silos and ensure institutional memory is shared across departments. Data is represented in a holistic, human-friendly and meaningful way.

Insurance 72

Insurance Metadata Publishing Unstructured Data 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

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Automation: support the automation of tasks such as data annotation, data curation, data pre-processing and so on, which can help save time and resources. 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

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. BI is a set of independent systems (technologies, processes, people, etc.) that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Alation

JANUARY 17, 2023

The modern data stack started to gain popularity in the early 2010s, as companies began to realize the benefits of big data. Most importantly, cloud computing has gotten much faster and cheaper, emerging as the core technology driving the development of the modern data stack.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52