Ontotext

APRIL 15, 2020

Ontotext’s knowledge graph technology is at the core of Cochrane’s data architecture developed by our partners from Data Language. Here, GraphDB is used for storing the ontology models, the vocabulary, the content metadata and the graphs from the PICO ontology. To Sum It Up.

Publishing 105

Publishing Metadata Data mining Technology 105

Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

Alation

FEBRUARY 20, 2020

But it is the contextual usage information of data that is critical to answer data consumers’ and stewards’ questions. Cataloging both data and queries provides insight into. How recently the data was used. How recently the data was updated. What the mapping is of technical metadata to business descriptions.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

AWS Big Data

JANUARY 8, 2024

Therefore, it is critical for organizations to embrace a low-latency, scalable, and reliable data streaming infrastructure to deliver real-time business applications and better customer experiences. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics 111

Analytics IoT Data-driven Snapshot 111

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. An AWS Glue job (metadata exporter) runs daily on the source account.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

Alation

MARCH 1, 2023

And we wanted to do this through one data architecture where possible, so that we didn’t duplicate processes. We made data available to those that needed it and the experts that are there. But, when we started looking at what we needed from a data catalog it was metadata management , lineage, data asset registry and more.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Cloudera

SEPTEMBER 28, 2020

Queue priorities needed to be reconfigured for optimal performance. Transition from Navigator by migrating the business metadata (tags, entity names, custom properties, descriptions and technical metadata (Hive, Spark, HDFS, Impala) to Atlas. Sentry Hive / HDFS ACL sync is not included in CDP-DC 7.1 (on on roadmap).

Testing 131

Testing Metadata Risk Data Science 131

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Snapshot 105

Snapshot Metadata Cost-Benefit Data Architecture 105

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. The hardware specifications are included at the end of this blog.

Management 69

Management Metadata Metrics Optimization 69

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. 1: Multi-function analytics .

Metadata 88

Metadata Data Architecture Machine Learning Cost-Benefit 88

AWS Big Data

AUGUST 31, 2023

The Iceberg specification allows seamless table evolution such as schema and partition evolution, and its design is optimized for usage on Amazon S3. Iceberg stores the metadata pointer for all the metadata files. In this post, we use the Yellow taxi public dataset from NYC Taxi & Limousine Commission as our source data.

Data Lake 92

Data Lake Data Warehouse Metadata Data Architecture 92

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. The Power of Social Metadata.

Metadata 52

Metadata IT Metrics Data-driven 52

AWS Big Data

SEPTEMBER 7, 2023

Customers want to know how their data is being accessed, when it is being accessed, and who is accessing it. With exponential growth in data volume, centralized monitoring becomes challenging. It is also crucial to audit granular data access for security and compliance needs.

Metadata 99

Metadata Dashboards Metrics Visualization 99

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. This verbosity allows schema, metadata, and instance data to be in one place, enabling accessibility and manageability.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Moreover, the framework should consume compute resources as optimally as possible per the size of the operational tables.

Data Lake 90

Data Lake Data Processing Metadata Snapshot 90

Ontotext

FEBRUARY 7, 2024

It also impedes interoperability – even though there are standards for sharing ontology mappings, it still isn’t optimal. The Linked Data Illusion The current Linked Open Data Cloud brings the assumption that if we talk about the same thing, our data is linked. But that’s not true.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

Alation

APRIL 14, 2022

In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. The Cloud Data Migration Challenge. A data governance application with the ability to connect to data and security is needed.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Ontotext

FEBRUARY 26, 2024

Labeled property graphs (LPGs) and RDFs are optimized for different use cases, but this is one of those use cases that falls squarely on RDF. Each of these types of graph databases is optimized for different things and there’s very little overlap when you look at it. RDF tends to be more data and metadata -centric.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. The following diagram illustrates the solution architecture. This post is co-written with Eliad Gat and Oded Lifshiz from Orca Security. Orca addressed this in several ways.

Data Lake 85

Data Lake Analytics Snapshot Optimization 85

IBM Big Data Hub

JANUARY 18, 2023

A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. Data fabric promotes data discoverability. This enables access to data at all stages of its value lifecycle.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Ontotext

MAY 30, 2019

In other words, the challenges of having large amounts of data are not so much about insufficient storage, but about inefficient data management. Ultimately, navigating large amounts of data is not about volume but about structure. Linked Data and Information Retrieval.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Ontotext

MAY 30, 2019

In other words, the challenges of having large amounts of data are not so much about insufficient storage, but about inefficient data management. Ultimately, navigating large amounts of data is not about volume but about structure. Linked Data and Information Retrieval.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

Andrew White

JANUARY 9, 2022

But I would search on our web site for AI and mid-size enterprise; or ask Anthony Mullen who leads our AI research in our data and analytics team. Can you remind where we can find the mentioned blog? Can you provide a link to your blog, or will we get notice of your info posted through email? What is an Ecosystem?

Analytics 64

Analytics Measurement Modeling Data-driven 64

AWS Big Data

MARCH 3, 2023

Cost optimization – When you run Spark or Hive applications using EMR Serverless, you pay for the amount of vCPU, memory, and storage resources consumed by your applications, leading to optimal utilization of resources. EMR Serverless includes the Amazon EMR performance-optimized runtime for Apache Spark and Hive.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Amazon describes the dense storage nodes (DS2) as optimized for large data workloads and use hard disk drives (HDD) for storage.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

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. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Metadata 122

Metadata Cost-Benefit Enterprise Interactive 122

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Cloudera

JULY 20, 2021

So relying upon the past for future insights with data that is outdated due to changing customer preferences, the hyper-competitive world and emphasis on environment, society and governance produces non-relevant insights and sub-optimized returns. Quality data needs to be the normalizing factor.

Manufacturing 101

Manufacturing Forecasting IoT Insurance 101

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Like an apartment blueprint, Data lineage provides a written document that is only marginally useful during a crisis.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

Cloudera

MAY 22, 2019

The program recognizes organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI.

Machine Learning 55

Machine Learning Data Architecture IoT Metadata 55

IBM Big Data Hub

JULY 5, 2023

The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale. Data may be stored in its raw original form or optimized into a different format suitable for consumption by specialized engines.

Data Lake 66

Data Lake Metadata Cost-Benefit Data Warehouse 66