AWS Big Data

NOVEMBER 11, 2024

OpenSearch Ingestion supports up to 96 OCUs per pipeline, and 24,000 characters per pipeline definition file (see OpenSearch Ingestion quotas ). The IAM role ARN must be the same for both the OpenSearch Servicer sink definition and the Kinesis Data Streams source definition.

Metadata 121

Metadata Metrics Analytics Data Processing 121

Octopai

DECEMBER 12, 2021

Metadata is the pertinent, practical details about data assets: what they are, what to use them for, what to use them with. Without metadata, data is just a heap of numbers and letters collecting dust. Where does metadata come from? What is a metadata management tool? What are examples of metadata management tools?

Metadata 98

Metadata Management Data Quality Data Governance 98

erwin

OCTOBER 24, 2019

While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. This isn’t an easy task.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Octopai

OCTOBER 11, 2021

Data needs to be accompanied by the metadata that explains and gives it context. Without metadata, data is just a bunch of meaningless, unspecified numbers or words that are about as useful as a bunch of rocks (or shells). And without effective metadata discovery capabilities, metadata isn’t all that useful either.

Metadata 98

Metadata Data Collection Optimization IT 98

Octopai

JANUARY 31, 2022

If you’re a mystery lover, I’m sure you’ve read that classic tale: Sherlock Holmes and the Case of the Deceptive Data, and you know how a metadata catalog was a key plot element. Maybe they have different definitions of conversions, which would certainly lead to metrics that don’t match up. Enter the metadata catalog.

Metadata 97

Metadata IT Unstructured Data IoT 97

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry. Metadata-Driven Automation in the Insurance Industry.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

AWS Big Data

DECEMBER 4, 2024

The Institutional Data & AI platform adopts a federated approach to data while centralizing the metadata to facilitate simpler discovery and sharing of data products. A data portal for consumers to discover data products and access associated metadata. Subscription workflows that simplify access management to the data products.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

TDAN

AUGUST 18, 2020

Standards exist for naming conventions, abbreviations and other pertinent metadata properties. Consistent business meaning is important because distinctions between business terms are not typically well defined or documented. What are the standards for writing […].

Management 96

Management Metadata Data Architecture IT 96

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

NOVEMBER 19, 2024

Run the following commands: export PROJ_NAME=lfappblog aws s3 cp s3://aws-blogs-artifacts-public/BDB-3934/InvokeLfAppLambdaEngineLambdaDataSource.res.vtl ~/${PROJ_NAME}/amplify/backend/api/${PROJ_NAME}/resolvers/ In the InvokeLfAppLambdaEngineLambdaDataSource.res.vtl file, you can inspect the.vtl resolver definition.

Data Processing 97

Data Processing Metadata Publishing Testing 97

erwin

JANUARY 9, 2020

That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts. Data modeling provides visibility, management and full version control over the lifecycle for data design, definition and deployment.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

TDAN

MAY 1, 2024

Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. The reason I ask it is because we seem to think about and manage metadata as somehow different than “normal data” such as business operations […]

Metadata 52

Metadata Management Data Quality IT 52

erwin

JANUARY 14, 2021

In these cases, better data intelligence could have helped in assuring the correct address, enabling correct order fulfillment, and assisting with interpretation through better data definition and description. Technical metadata is what makes up database schema and table definitions.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

Rocket-Powered Data Science

FEBRUARY 15, 2023

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. When people are encouraged to experiment, where small failures are acceptable (i.e., FUD occurs when there is too much hype and “management speak” in the discussions. The latter is essential for Generative AI implementations.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

erwin

MARCH 30, 2020

These numerous data types and data sources most definitely weren’t designed to work together. Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Data profiling for data assessment, metadata discovery and data validation.

Metadata 122

Metadata IT Data Governance Data Quality 122

Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

TDAN

SEPTEMBER 17, 2019

Large organizations generally need a decentralized approach, to engage resources in all functional units (my definition of “a village”) to Operationalize data governance across many functional business […].

Data Governance 76

Data Governance Metadata Data Strategy Strategy 76

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

datapine

SEPTEMBER 29, 2022

What is the definition of data quality? It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. This way, you make sure there is a common understanding of data definitions that are being used across the organization. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

DataKitchen

OCTOBER 11, 2021

Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. Definition of Done. Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

Ontotext

DECEMBER 15, 2022

Enter metadata. Metadata describes data and includes information such as how old data is, where it was created, who owns it, and what concepts (or other data) it relates to. As a result, leveraging metadata has become a core capability for businesses trying to extract value from their data. Knowledge (metadata) layer.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

Alation

AUGUST 18, 2022

It’s important to realize that we need visibility into lineage and relationships between all data and data-related assets, including business terms, metric definitions, policies, quality rules, access controls, algorithms, etc. Active metadata will play a critical role in automating such updates as they arise. Why Focus on Lineage?

Metadata 69

Metadata Visualization Statistics Data Architecture 69

erwin

MAY 27, 2020

Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management. Provide metadata and schema visualization regardless of where data is stored. Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

erwin

MARCH 12, 2020

With metadata-driven automation, many DevOps processes can be automated, adding more “horsepower” to increase their speed and accuracy. But isn’t the definition of insanity doing the same thing over and over, expecting but never realizing different results? Just like with cars, more horsepower in DevOps translates to greater speed.

Metadata 140

Metadata Digital Transformation Data-driven Enterprise 140

DataKitchen

FEBRUARY 2, 2023

Most data governance tools today start with the slow, waterfall building of metadata with data stewards and then hope to use that metadata to drive code that runs in production. In reality, the ‘active metadata’ is just a written specification for a data developer to write their code.

Metadata 130

Metadata Testing Data Science Risk 130

erwin

JUNE 22, 2020

Now that pulling stakeholders into a room has been disrupted … what if we could use this as 40 opportunities to update the metadata PER DAY? Overcoming the 80/20 Rule with Micro Governance for Metadata. What if we could buck the trend, and overcome the 80/20 rule?

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

erwin

DECEMBER 17, 2020

By having a single definition of something, complex ETL doesn’t have to be performed repeatedly. Once something is defined, then then everyone can map to the standard definition of what the data means. Cloud migration and other data platform modernization efforts: definition is missing here.

Modeling 90

Modeling Metadata Data-driven Data Lake 90

erwin

JULY 17, 2019

Organizations need a real-time, accurate picture of the metadata landscape to: Discover data – Identify and interrogate metadata from various data management silos. Harvest data – Automate metadata collection from various data management silos and consolidate it into a single source.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

AWS Big Data

JUNE 7, 2023

In this blog, we discuss the technical challenges faced by Cargotec in replicating their AWS Glue metadata across AWS accounts, and how they navigated these challenges successfully to enable cross-account data sharing. Solution overview Cargotec required a single catalog per account that contained metadata from their other AWS accounts.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

AWS Big Data

JUNE 17, 2024

Backup and restore architecture The backup and restore strategy involves periodically backing up Amazon MWAA metadata to Amazon Simple Storage Service (Amazon S3) buckets in the primary Region. The pipeline includes a DAG deployed to the DAGs S3 bucket, which performs backup of your Airflow metadata. The steps are as follows: [1.a]

Strategy 111

Strategy Metadata Recreation/Entertainment Metrics 111

AWS Big Data

OCTOBER 4, 2023

Business-driven domains – A DataZone domain represents the distinct boundary of a line of business (LOB) or a business area within an organization that can manage its own data, including its own data assets, its own definition of data or business terminology, and may have its own governing standards.

Metadata 119

Metadata Data Lake Publishing Data Governance 119

AWS Big Data

NOVEMBER 22, 2023

AWS Glue Crawler is a component of AWS Glue, which allows you to create table metadata from data content automatically without requiring manual definition of the metadata. One typical use case is to register Hudi tables, which does not have catalog table definition. Wait for the crawler to complete.

Data Lake 115

Data Lake Snapshot Metadata Optimization 115

AWS Big Data

JUNE 10, 2024

When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata. Only data that is written to the table after the evolution is partitioned with the new definition, and the metadata for this new set of data is kept separately. Here is where it can get complicated.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Octopai

FEBRUARY 8, 2020

While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. The solution is a comprehensive automated metadata platform. Unlike a Mars mission, it’s not rocket science, and Octopai’s automated metadata management tools can do the heavy lifting. ????.

Metadata 90

Metadata Key Performance Indicator Unstructured Data Business Intelligence 90

Cloudera

NOVEMBER 13, 2020

Metadata Caching. This is used to provide very low latency access to table metadata and file locations in order to avoid making expensive remote RPCs to services like the Hive Metastore (HMS) or the HDFS Name Node, which can be busy with JVM garbage collection or handling requests for other high latency batch workloads.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 97

Data Governance Metadata Enterprise Data Processing 97

AWS Big Data

OCTOBER 2, 2024

Governed Tables metadata will continue to exist within the AWS Glue Data Catalog, and the Governed Tables data will remain in your S3 buckets. If you specify partitions or buckets as part of the Apache Iceberg table definition, then you may run into the 100 partition per bucket limitation.

Snapshot 122

Snapshot Metadata Big Data Analytics 122