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

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

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

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 87

Data Quality Visualization Metadata Metrics 87

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 80

Technology Data-driven Machine Learning Sales 80

AWS Big Data

MARCH 25, 2024

To learn more about RAG, refer to Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart. A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

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 111

Analytics IoT Data-driven Snapshot 111

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 130

Testing Metadata Risk Data Science 130

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 78

Data Lake Data Architecture Data-driven Data Warehouse 78

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

AWS Big Data

JUNE 7, 2023

They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

Data Architecture 65

Data Architecture Metadata Data Lake Snapshot 65

TDAN

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1.

Strategy 52

Strategy Enterprise Management Modeling 52

Peter James Thomas

AUGUST 18, 2018

Convergent Evolution refers to something else. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well. This required additional investments in metadata. So far so simple.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

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 89

Data Lake Data Processing Metadata Snapshot 89

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 91

Data Lake Data Warehouse Metadata Data Architecture 91

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

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 80

Dashboards Data Processing Metadata Consulting 80

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 88

Metadata Data Architecture Machine Learning Cost-Benefit 88

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 117

Unstructured Data Metadata Management Analytics 117

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 93

Dashboards Analytics Metadata Optimization 93

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

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

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 83

Data-driven Advertising Metadata Data Architecture 83

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 102

Cost-Benefit Testing Optimization Strategy 102

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 95

Testing Metadata Cost-Benefit Management 95

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 97

Metadata Dashboards Metrics Visualization 97

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 68

Data Quality Data Integration Metadata Cost-Benefit 68

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 157

Testing Metadata Dashboards Statistics 157

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 83

Enterprise Data Warehouse Data Lake Optimization 83

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

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 Strategy 98

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

AWS Big Data

NOVEMBER 29, 2023

For more information about performance improvement capabilities, refer to the list of announcements below. At AWS re:Invent 2023, we introduced more performance enhancements in query planning and execution such as enhanced bloom filters , query rewrites, and support for write operations in auto scaling.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

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 111

Data Lake Metadata Optimization Statistics 111

Ontotext

FEBRUARY 26, 2024

If you want to convert your data into the right insights to drive business decisions and processes, you need this data to be easily accessible and stored in a format that is flexible, accurate, and machine-readable. It must retain the context and insight of the original data and be traceable as it flows through the organization.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

AWS Big Data

MARCH 3, 2023

Incremental data is generated in the PostgreSQL table by running custom SQL scripts. Data ingestion – Steps 1 and 2 use AWS DMS, which connects to the source database and moves full and incremental data (CDC) to Amazon S3 in Parquet format. Let’s refer to this S3 bucket as the raw layer. with Apache Spark version 3.3.0)

Data Lake 81

Data Lake Dashboards Metrics Metadata 81