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. The RDF-star extension makes it easy to model provenance and other structured metadata.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

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 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

OCTOBER 25, 2023

But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. The solution integrates data in three tiers.

Unstructured Data 123

Unstructured Data Metadata Management Analytics 123

AWS Big Data

NOVEMBER 14, 2024

Amazon Data Firehose – Data Firehose is an extract, transform, and load (ETL) service that reliably captures, transforms, and delivers streaming data to data lakes, data stores, and analytics services. AWS Glue – The AWS Glue Data Catalog is your persistent technical metadata store in the AWS Cloud.

Data Lake 86

Data Lake Metadata Testing Data-driven 86

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

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

OCTOBER 1, 2024

Figure 1: Improvement in total runtime of TPC-DS 3T workload The following graph presents the top queries from the TPC-DS benchmark with the greatest performance improvement over the last year with and without AWS Glue Data Catalog column statistics. This can have a significant impact on overall query performance.

Data Lake 98

Data Lake Statistics Broadcasting Optimization 98

erwin

MAY 31, 2019

The typical notion is that enterprise architects and data (and metadata) architects are in opposite corners. At Avydium , we believe there’s an important middle ground where different architecture disciplines coexist, including enterprise, solution, application, data, metadata and technical architectures.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

Ontotext

JANUARY 10, 2024

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. In both cases, semantic metadata is the glue that turns knowledge graphs into hubs of data, metadata, and content.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

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. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 97

Data Lake Data Processing Metadata Snapshot 97

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging. Example Corp.

Data Lake 118

Data Lake Analytics Dashboards Metrics 118

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. Cisco has multiple reference architectures for running Ozone.

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 . 3: Open Performance.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

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

AWS Big Data

OCTOBER 16, 2023

This service seamlessly integrates into your data architecture, allowing you to tap into the full potential of your data for informed decision-making. Data streaming technologies like Kinesis Data Streams are designed to efficiently process and manage continuous streams of data in real time at large scale.

Cost-Benefit 112

Cost-Benefit Testing Optimization Strategy 112

AWS Big Data

NOVEMBER 15, 2023

For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer.

Dashboards 101

Dashboards Analytics Metadata Data Warehouse 101

AWS Big Data

JUNE 12, 2024

In a two-part series, we talk about Swisscom’s journey of automating Amazon Redshift provisioning as part of the Swisscom ODP solution using the AWS Cloud Development Kit (AWS CDK), and we provide code snippets and the other useful references.

Data Architecture 99

Data Architecture Cost-Benefit Experimentation Data-driven 99

AWS Big Data

FEBRUARY 7, 2024

Refer to How can I access OpenSearch Dashboards from outside of a VPC using Amazon Cognito authentication for a detailed evaluation of the available options and the corresponding pros and cons. For more information, refer to the AWS CDK v2 Developer Guide. For instructions, refer to Creating a public hosted zone. application.

Dashboards 88

Dashboards Data Processing Metadata Consulting 88

Alation

JANUARY 9, 2023

The Australian Prudential Regulation Authority (APRA) released nonbinding standards covering data risk management. Another agency later also published a legally binding standard to strengthen risk management for financial institutions with specific language related to data architecture and IT infrastructure.

Risk Management 52

Risk Management Risk Management Metadata 52

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Historic Balance – compares current data to previous or expected values. Monitoring Job Metadata. A DataOps implementation project consists of three steps.

Testing 154

Testing Metadata Dashboards Statistics 154

AWS Big Data

SEPTEMBER 7, 2023

They store attributes such as object size, total time, turn-around time, and HTTP referer for log records. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. Running the crawler on a schedule updates AWS Glue Data Catalog with new partitions and metadata.

Metadata 106

Metadata Dashboards Metrics Visualization 106

AWS Big Data

NOVEMBER 7, 2024

BladeBridge offers a comprehensive suite of tools that automate much of the complex conversion work, allowing organizations to quickly and reliably transition their data analytics capabilities to the scalable Amazon Redshift data warehouse. Amazon Redshift is a fully managed data warehouse service offered by Amazon Web Services (AWS).

Data Warehouse 77

Data Warehouse Reporting Big Data Data Lake 77

AWS Big Data

NOVEMBER 16, 2023

The staging layer represents data intake and light data transformations and enhancements that occur before the data comes to its more permanent resting place, the raw Data Vault (RDV). The RDV holds the historized copy of all of the data from multiple source systems.

Enterprise 91

Enterprise Data Warehouse Data Lake Optimization 91

Ontotext

FEBRUARY 7, 2024

They have to misallocate resources because 80% of the time the data scientists are busy doing data finding, accessing, cleansing, etc. This also results in the information loss I’ve already mentioned and severely impacts our insight creation and monetizing the data. So Schemata are interoperable by design.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

AWS Big Data

APRIL 3, 2024

If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. option("header", "true").option("inferSchema",

Data Quality 96

Data Quality Visualization Metadata Metrics 96

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. The post Data integrity vs. data quality: Is there a difference?

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 86

Technology Data-driven Machine Learning Sales 86

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

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 93

Data-driven Advertising Metadata Data Architecture 93

AWS Big Data

SEPTEMBER 6, 2023

For information about how to configure the producer for connectivity, refer to IAM access control. He works with enterprise FSI customers and is primarily specialized in machine learning and data architectures. . // It serves as a simple API Gateway to Kafka Proxy, accepting requests and forwarding them to a Kafka topic.

Testing 104

Testing Metadata Cost-Benefit Internet of Things 104

Cloudera

SEPTEMBER 28, 2020

Transition from Navigator by migrating the business metadata (tags, entity names, custom properties, descriptions and technical metadata (Hive, Spark, HDFS, Impala) to Atlas. This allowed them to enable a modern data architecture, enhance their streaming capabilities and prepare for the next phase of the CDP Journey.

Testing 132

Testing Metadata Risk Data Science 132

AWS Big Data

OCTOBER 9, 2024

For detailed instructions on how to set up AWS DMS to replicate data, refer to the appendix at the end of this post. In the following sections, we showcase how to configure an AWS Glue Data Quality job for comparison. Refer to AWS Glue connection properties for additional details. Choose Create connection. AWS Glue 4.0

Data Quality 89

Data Quality Data Lake Data Warehouse Metrics 89

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. To access your data from Timestream, you need to install the Timestream plugin for Grafana.

Analytics 117

Analytics IoT Data-driven Snapshot 117

Cloudera

SEPTEMBER 15, 2022

Mark: The first element in the process is the link between the source data and the entry point into the data platform. At Ramsey International (RI), we refer to that layer in the architecture as the foundation, but others call it a staging area, raw zone, or even a source data lake. What is a data fabric?

Data Lake 81

Data Lake Data Architecture Data-driven Data Warehouse 81

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 119

Data Lake Metadata Statistics Optimization 119

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98