David Menninger's Analyst Perspectives

OCTOBER 24, 2024

Although the terms data fabric and data mesh are often used interchangeably, I previously explained that they are distinct but complementary. The company added a variety of new features with the launch of Denodo Platform 9 in June, designed to address requirements for intelligent applications and AI-driven integration.

Management 130

Management Data-driven Data Governance Data Lake 130

AWS Big Data

FEBRUARY 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. MongoDB Atlas is a developer data service from AWS technology partner MongoDB, Inc.

Metadata 75

Metadata Data Lake Machine Learning Big Data 75

Ontotext

NOVEMBER 11, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. This often leaves business insights and opportunities lost among a tangled complexity of meaningless, siloed data and content.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

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

DataKitchen

OCTOBER 20, 2023

The Solution: ‘Payload’ Data Journeys Traditional Data Observability usually focuses on a ‘process journey,’ tracking the performance and status of data pipelines. ’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event.

Insurance 173

Insurance Metadata Data-driven Data Quality 173

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

APRIL 3, 2024

Data engineers use Apache Iceberg because it’s fast, efficient, and reliable at any scale and keeps records of how datasets change over time. Apache Iceberg offers integrations with popular data processing frameworks such as Apache Spark, Apache Flink, Apache Hive, Presto, and more.

Data Lake 100

Data Lake Snapshot Metadata Data Architecture 100

Ontotext

AUGUST 22, 2023

Context: The Key to Making Data Useful It goes without saying that data without meaning can yield incorrect insights, leading to potentially dangerous decisions. Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

APRIL 10, 2024

In most enterprises data teams lack a data map and data asset inventory and are often unaware of data that exists across the organization, its associated profile, quality and associated metadata. Teams can’t access data to build their business use cases. For example, a product data tag is basic metadata.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. Data discoverability Unlike structured data, which is managed in well-defined rows and columns, unstructured data is stored as objects.

Data Governance 102

Data Governance Unstructured Data Metadata Data Lake 102

Ontotext

JUNE 27, 2019

Ontotext’s GraphDB is an enterprise-ready semantic graph database (also called RDF triplestore as it stores data in RDF triples). It provides the core infrastructure for solutions where modeling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical.

Metadata 40

Metadata Management Enterprise Publishing 40

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. They store attributes such as object size, total time, turn-around time, and HTTP referer for log records.

Metadata 106

Metadata Dashboards Metrics Visualization 106

Ontotext

JULY 29, 2021

KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. Take this restaurant, for example. Enterprise Knowledge Graphs and the Semantic Web.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

AWS Big Data

JUNE 25, 2024

It provides secure, real-time access to Redshift data without copying, keeping enterprise data in place. This eliminates replication overhead and ensures access to current information, enhancing data integration while maintaining data integrity and efficiency.

Data Lake 105

Data Lake Cost-Benefit Data-driven Data Warehouse 105

AWS Big Data

AUGUST 31, 2023

Iceberg stores the metadata pointer for all the metadata files. When a SELECT query is reading an Iceberg table, the query engine first goes to the Iceberg catalog, then retrieves the entry of the location of the latest metadata file, as shown in the following diagram.

Data Lake 100

Data Lake Data Warehouse Metadata Data Architecture 100

AWS Big Data

AUGUST 15, 2023

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. We deploy a Lambda function data source connector to connect AWS with Google Cloud Provider.

Recreation/Entertainment 88

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 88

Ontotext

JANUARY 26, 2023

These 30 layers can be split into two kinds: a location-reference layer and a topic layer. The authors address the challenge of interoperability in the digitalization of mobility systems and introduce a reference architecture for the Shift2Rail Interoperability Framework (IF). The catalog stores the asset’s metadata in RDF.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

Ontotext

FEBRUARY 7, 2024

However, what we usually don’t talk about when generating an asset, are the huge invisible or unplanned costs occurring at a later stage when the data needs to be made available for analysis or secondary usage. As a result, a big portion of the IT capacity in Pharma is bound by data integration.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

AWS Big Data

SEPTEMBER 11, 2024

AWS Transfer Family seamlessly integrates with other AWS services, automates transfer, and makes sure data is protected with encryption and access controls. Each file arrives as a pair with a tail metadata file in CSV format containing the size and name of the file. 2 GB into the landing zone daily.

Data Architecture 89

Data Architecture Optimization Data Warehouse Metadata 89

AWS Big Data

JUNE 10, 2024

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. To address this challenge, organizations can deploy a data mesh using AWS Lake Formation that connects the multiple EMR clusters. An entity can act both as a producer of data assets and as a consumer of data assets.

Data Lake 90

Data Lake Metadata Data Warehouse Data Processing 90

DataKitchen

SEPTEMBER 21, 2023

.’ It’s not just about playing detective to discover where things went wrong; it’s about proactively monitoring your entire data journey to ensure everything goes right with your data. What is Data in Place? This existing paradigm fails to address the challenges and intricacies of “Data in Use.”

Testing 173

Testing Data Quality Predictive Modeling Metrics 173

AWS Big Data

AUGUST 15, 2024

With Amazon DataZone, individual business units can discover and directly consume these new data assets, gaining insights to a holistic view of the data (360-degree insights) across the organization. The Central IT team manages a unified Redshift data warehouse, handling all data integration, processing, and maintenance.

Data Lake 102

Data Lake Data Warehouse Data Governance Publishing 102

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Governing metadata.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

AWS Big Data

OCTOBER 25, 2024

The metadata of the YARN metrics collected in Amazon S3 is created, stored, and represented as database and tables in AWS Glue Data Catalog , which is in turn available to Amazon Athena for further processing. The solution needs Athena to run queries against the data from the CUR using standard SQL.

Metrics 80

Metrics Cost-Benefit Reporting Optimization 80

AWS Big Data

MAY 21, 2024

Following the best practices section of the OpenSearch Service Developer Guide, AVB selected an optimal cluster configuration with three dedicated cluster manager nodes and six data nodes, across three Availability Zones , while keeping shard size between 10–30 GiB. This approach allows updates to be executed independently and asynchronously.

Manufacturing 102

Manufacturing Sales Optimization Data Processing 102

AWS Big Data

FEBRUARY 1, 2023

Architecturally, we chose a serverless model, and the data lake architecture action line refers to all the architectural gaps and challenging features we determined were part of the improvements. We also used AWS Lambda for data processing. To query data from REST APIs and other data sources, we used PySpark and JDBC modules.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Metrics Data-driven 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Then, you transform this data into a concise format.

Data Strategy 74

Data Strategy Strategy Data Warehouse Prescriptive Analytics 74

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

Cloudera

MARCH 23, 2022

Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: Apache Iceberg enables seamless integration between different streaming and processing engines while maintaining data integrity between them.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

Ontotext

AUGUST 5, 2020

Each of the four FAIR principles calls for data and metadata to be easily found, accessed, understood, exchanged and reused. FAIR data is data that is: Findable is such data in which data and metadata are assigned a globally unique and persistent identifier so that computers can easily find it.

Metadata 52

Metadata Insurance Manufacturing Data Integration 52

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 80

Management Metadata Testing Internet of Things 80

O'Reilly on Data

MARCH 20, 2019

Data poisoning attacks. Data poisoning refers to someone systematically changing your training data to manipulate your model’s predictions. Data poisoning attacks have also been called “causative” attacks.) To poison data, an attacker must have access to some or all of your training data.

Modeling 226

Modeling Machine Learning Predictive Modeling Consulting 226

AWS Big Data

SEPTEMBER 10, 2024

AWS Glue, with its ability to process data using Apache Spark and connect to various data sources, is a suitable solution for addressing the challenges of accessing data across multiple cloud environments. Prerequisites You need the following prerequisites: A storage account in Microsoft Azure and your data path in ADLS Gen2.

Data Lake 102

Data Lake Metadata Management Software 102

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

Cloudera

NOVEMBER 8, 2022

Ozone is also highly available — the Ozone metadata is replicated by Apache Ratis, an implementation of the Raft consensus algorithm for high-performance replication. Since Ozone supports both Hadoop FileSystem interface and Amazon S3 interface, frameworks like Apache Spark, YARN, Hive, and Impala can automatically use Ozone to store data.

Metadata 82

Metadata Data-driven Management Optimization 82

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Consideration of both data & metadata in the migration.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80