Cloudera

SEPTEMBER 28, 2020

They have dev, test, and production clusters running critical workloads and want to upgrade their clusters to CDP Private Cloud Base. Customer Environment: The customer has three environments: development, test, and production. Test and QA. Test and QA. Review the Upgrade document topic for the supported upgrade paths.

Testing 130

Testing Metadata Risk Data Science 130

CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. Providing a unified metadata model and a semantic layer is enhanced through discovery, auto-classification, tagging, inferencing, and so on.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

OCTOBER 13, 2023

According to Bob Lambert , analytics delivery lead at Anthem and former director of CapTech Consulting, important data architect skills include: A foundation in systems development: Data architects must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

CIO Business Intelligence

MAY 10, 2023

This was on display during the initial test releases of Google Bard, where it provided a factually inaccurate answer on the James Webb Space Telescope based on reference data it ingested. The first step in this process is to ensure the right technical and business metadata is in place.

Metadata 96

Metadata Data Governance Modeling Technology 96

Ontotext

MARCH 15, 2024

Probably most of you have tried, but how many were able to figure out all the details of the described information – symptoms, laboratory tests, accompanying diseases, therapy, etc. Have you ever tried to find out what your medical records say after a doctor’s visit? Even for a human, this task is difficult to solve.

Modeling 59

Modeling Metadata Testing Optimization 59

AWS Big Data

JUNE 5, 2023

If you also needed to preserve the history of DAG runs, you had to take a backup of your metadata database and then restore that backup on the newly created environment. Amazon MWAA manages the entire upgrade process, from provisioning new Apache Airflow versions to upgrading the metadata database. or v2.0.2, and higher environment.

Snapshot 72

Snapshot Metadata Testing Data-driven 72

erwin

JANUARY 24, 2019

In data governance terms, an automation framework refers to a metadata-driven universal code generator that works hand in hand with enterprise data mapping for: Pre-ETL enterprise data mapping. Governing metadata. The 100-percent metadata-driven approach is critical to creating reliable and consistent CATs.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

erwin

AUGUST 7, 2019

With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects. At each stage, the discovered pieces of lineage are documented.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

Cloudera

SEPTEMBER 30, 2021

Before proceeding with the upgrade it is worth reviewing the prerequisites as specified in the documentation. We recommend that all customers test workloads in a dev or test cluster before upgrading to CDP in production. Please note the warnings around specific versions of JDKs in the documentation. CDP Upgrade.mp4 .

Metadata 69

Metadata Testing Management Data-driven 69

Cloudera

FEBRUARY 17, 2022

Before proceeding with the upgrade, review the CDP Private Cloud Base prerequisites as specified in the documentation. Finally we also recommend that you take a full backup of your cluster configurations, metadata, other supporting details, and backend databases. The end-to-end process is relatively straightforward and well documented.

Testing 95

Testing Data Processing Metadata Management 95

IBM Big Data Hub

APRIL 13, 2023

Creating train/test partitions of the dataset Before collecting deeper insights into the data, I’ll divide this dataset into train and test partitions using Db2’s RANDOM_SAMPLING SP. outtable=FLIGHT.FLIGHTS_TRAIN, by=FLIGHTSTATUS') Copy the remaining records to a test PARTITION. Create a TRAIN partition.

Modeling 88

Modeling Statistics Machine Learning Testing 88

Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. What do we mean by content aware knowledge graphs? a call to action for all taxonomists.

Enterprise 59

Enterprise Management Metadata Modeling 59

Ontotext

FEBRUARY 12, 2024

This calls for additional planning, documentation, and testing. It’s also critical to advocate a smooth culture change because data mesh involves shifting from thinking about data as tables to data as a combination of multiple elements, such as code, infrastructure, and metadata.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

Alation

FEBRUARY 3, 2022

They make testing and learning a part of that process. Using this methodology, teams will test new processes, monitor performance, and adjust based on results. Traditionally, governance programs suffered from a reliance on dusty and inaccessible policy documents, which were organically meant to influence everyday business activities.

Data Governance 98

Data Governance Measurement Metadata Testing 98

Cloudera

MARCH 14, 2023

Allows them to iteratively develop processing logic and test with as little overhead as possible. With the general availability of DataFlow Designer, developers can now implement their data pipelines by building, testing, deploying, and monitoring data flows in one unified user interface that meets all their requirements.

Testing 80

Testing Publishing Metadata Interactive 80

AWS Big Data

MAY 2, 2023

Test the feature To test this feature, run the producer DAG. For detailed release documentation with sample code, visit the Apache Airflow v2.4.0 How dynamic task mapping works Let’s see an example using the reference code available in the Airflow documentation. Release Notes. which has also been extended in v2.4.

Testing 97

Testing Experimentation Management Metadata 97

Cloudera

DECEMBER 9, 2022

After all, it’s very likely that you are developing your flow against test systems but in production it needs to run against production systems, meaning that your source and destination connection configuration has to be adjusted. To meet this need we’ve introduced a new concept called test sessions with the DataFlow Designer. .

Testing 95

Testing Cost-Benefit Interactive Visualization 95

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. These processes could include reports, campaigns, or financial documentation. Accuracy should be measured through source documentation (i.e., 2 – Data profiling. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

JULY 14, 2023

They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files. Query engines (Impala, Hive, Spark) might mitigate some of these problems by using Iceberg’s metadata files. Hive creates Iceberg’s metadata files for the same exact table.

Snapshot 69

Snapshot Metadata Data Warehouse Testing 69

erwin

APRIL 15, 2020

Do individual countries use the same testing protocols? Are infections universally defined the same way (based on widely administered tests or only hospital admissions)? If we reflect on the coronavirus example, we can ask: How do individual countries report their data? Are asymptomatic infections reported?

Data Governance 134

Data Governance Metadata Testing Reporting 134

TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. Interactions between hardware and software are cautiously investigated, operating systems and network connections are carefully tested, […].

Testing 52

Testing Interactive Strategy Software 52

Alation

DECEMBER 21, 2022

A data catalog is a metadata repository of information sources across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Documenting rule definitions and corrective actions guide domain owners and stewards in addressing quality issues. Data Catalog and Master Data Management.

Management 52

Management Data Quality Metadata Testing 52

Cloudera

OCTOBER 15, 2021

With FSO, Apache Ozone guarantees atomic directory operations, and renaming or deleting a directory is a simple metadata operation even if the directory has a large set of sub-paths (directories/files) within it. Please refer to Apache Ozone documentation for more details regarding Apache Ozone’s atomicity guarantees.

Testing 86

Testing Measurement Optimization Metadata 86

Alation

APRIL 18, 2023

This is accomplished by analyzing one or multiple data sources and collecting metadata that shows the condition of the data and enables the data steward to investigate the origin of data errors. Do you need to add metadata to information to put it in a data lake? Do you need to define a data quality rule and add that to the profile?

IT 52

IT Data Quality Metadata Data Governance 52

Ontotext

FEBRUARY 14, 2024

CEEL is now immediately available as part of our text analysis offerings, coming preconfigured as part of the new version of the Ontotext Metadata Studio (OMDS). Named Entity Recognition This is a token classification task and the tokens encoded in the input text document use a pre-trained transformer model.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

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 93

Data Governance Metadata Enterprise Data Processing 93

AWS Big Data

FEBRUARY 24, 2023

Athena uses the AWS Glue Data Catalog to store and retrieve table metadata for the Amazon S3 data in Iceberg format. When the testing is correct, choose Send data. For this post, we create a Data Catalog database named icebergdemodb containing the metadata information of a table named customer , which will be queried through Athena.

Data Lake 80

Data Lake Metadata Testing Data Warehouse 80

AWS Big Data

NOVEMBER 29, 2023

The Eightfold Talent Intelligence Platform integrates with Amazon Redshift metadata security to implement visibility of data catalog listing of names of databases, schemas, tables, views, stored procedures, and functions in Amazon Redshift. This post discusses restricting listing of data catalog metadata as per the granted permissions.

Metadata 100

Metadata Data Warehouse Analytics Data Analytics 100

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Some of the best lessons are captured in Ron Kohavi, Diane Tang, and Ya Xu’s book: Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing.

Marketing 362

Marketing Experimentation Metrics Testing 362

Cloudera

JULY 15, 2021

Further information and documentation [link] . For customers to gain the maximum benefits from these features, Cloudera best practice reflects the success of thousands of -customer deployments, combined with release testing to ensure customers can successfully deploy their environments and minimize risk. Summary of major changes.

Data Processing 96

Data Processing Metadata Testing Management 96

Cloudera

AUGUST 31, 2021

It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Smart Data Validator helps in extensive data reconciliation and testing. Consideration of both data & metadata in the migration. Copyright © 2021 Accenture.

Data Warehouse 80

Data Warehouse Cost-Benefit Metadata Data-driven 80

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. What Is Metadata? Analyst firm Gartner defines metadata as “information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset.”.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

SEPTEMBER 20, 2022

Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Alation

NOVEMBER 15, 2021

The Data Management Capability Assessment Method (DCAM) framework is used to pressure-test data management procedures and demonstrate good practices to regulators. Before the announcement, the working group needed a test case that proved these controls could be implemented; this is where Snowflake and KPMG stepped in. What’s Next?

Management 52

Management Testing Metadata Consulting 52