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

erwin

APRIL 15, 2020

Does the definition (description, classification, allowable range of values, etc.) of incoming, individual data elements match our internal definitions of those data elements? Do individual countries use the same testing protocols? What formulas were used? Are asymptomatic infections reported?

Data Governance 134

Data Governance Metadata Testing Reporting 134

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

AWS Big Data

JUNE 10, 2024

Many of the tests to check performance and volumes of data scanned have used Athena because it provides a simple to use, fully serverless, cost effective, interface without the need to setup infrastructure. When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata.

Data Lake 119

Data Lake Metadata Snapshot Analytics 119

AWS Big Data

NOVEMBER 7, 2024

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

Metadata 94

Metadata Sales Data Warehouse Optimization 94

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 98

Data Governance Metadata Enterprise Data Processing 98

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 98

Metadata Data Governance Modeling Consulting 98

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 144

Optimization Metadata Statistics Cost-Benefit 144

AWS Big Data

NOVEMBER 26, 2024

Central to a transactional data lake are open table formats (OTFs) such as Apache Hudi , Apache Iceberg , and Delta Lake , which act as a metadata layer over columnar formats. XTable isn’t a new table format but provides abstractions and tools to translate the metadata associated with existing formats.

Metadata 92

Metadata Data Lake Snapshot Data Warehouse 92

Alation

OCTOBER 18, 2022

Data analysts and engineers use dbt to transform, test, and document data in the cloud data warehouse. Yet every dbt transformation contains vital metadata that is not captured – until now. When combined with the dbt metadata API, a rich set of data, capturing its transformation history, can now be added to the Alation data catalog.

Metadata 52

Metadata Metrics Recreation/Entertainment Data Quality 52

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 101

Strategy Metadata Recreation/Entertainment Metrics 101

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 86

Testing Publishing Metadata Interactive 86

CIO Business Intelligence

OCTOBER 26, 2023

To earn your CBIP certification, you’ll need two or more years of full-time experience in CIS, data modeling, data planning, data definitions, metadata systems development, enterprise resource planning, systems analysis, application development, and programming or IT management.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But it is not routine. So, how do we fix this problem? I've asked Alistair to share his thoughts on this process with us.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

AWS Big Data

APRIL 19, 2023

We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The first component (metadata setup) consumes existing Hive job configurations and generates metadata such as number of parameters, number of actions (steps), and file formats. sql_path SQL file name.

Metadata 84

Metadata Testing Data Lake Consulting 84

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. A data catalog benefits organizations in a myriad of ways.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

CIO Business Intelligence

JUNE 12, 2024

For example, gen AI can be used to extract metadata from documents, create indexes of information and knowledge graphs, and to query, summarize, and analyze this data. They’re very powerful for generating synthetic data and test data,” says Noah Johnson, co-founder and CTO at Dasera, a data security firm.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

AWS Big Data

DECEMBER 13, 2023

Manually upgrading, testing, and deploying over 5,000 jobs every few quarters was time consuming, error prone, costly, and not sustainable. EDLS job steps and metadata Every EDLS job comprises one or more job steps chained together and run in a predefined order orchestrated by the custom ETL framework.

Metadata 98

Metadata Data Lake Visualization Data Quality 98

AWS Big Data

SEPTEMBER 13, 2023

Finally, by testing the framework, we summarize how it meets the aforementioned requirements. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker. It also updates technical metadata in the AWS Glue Data Catalog.

Data Lake 101

Data Lake Data Processing Metadata Snapshot 101

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

erwin

SEPTEMBER 25, 2020

Data modeling is a critical component of metadata management , data governance and data intelligence. Automation and standardization of data definitions and structures reduces risks and costs, plus you can test changes and new applications before they go into production. Reduce risks and costs.

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

Cloudera

FEBRUARY 8, 2024

Note that the materialized view definition contains the ‘stored by iceberg’ clause. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. Let’s create a materialized view that joins the three tables, has filter conditions, and does grouped aggregation.

Snapshot 93

Snapshot Metadata Cost-Benefit Data Warehouse 93

AWS Big Data

AUGUST 26, 2024

Duplicating data from a production database to a lower or lateral environment and masking personally identifiable information (PII) to comply with regulations enables development, testing, and reporting without impacting critical systems or exposing sensitive customer data. These tables are the metadata representation of the customer tables.

Visualization 104

Visualization Metadata Data Transformation Testing 104

AWS Big Data

JULY 24, 2024

It will cover how you can get started with building a truly composable CDP with Amazon Redshift—from the solution architecture to setting up and testing the connector. For example, an entity table could be a product table that contains product metadata and joins to a transaction event table on a product_id.

Data Warehouse 107

Data Warehouse Cost-Benefit Marketing Testing 107

AWS Big Data

MAY 10, 2023

Although most classes of failures discussed so far in this post refer to binary failures where the failure is definitive, there is another kind of failure: non-binary failures, termed gray failures , whose manifestations are subtle and usually defy quick detection. We discuss a few of these methods in this section.

Snapshot 105

Snapshot Testing Metadata Management 105

AWS Big Data

NOVEMBER 15, 2023

Additionally, it incorporates BMW Group’s internal system to integrate essential metadata, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications. It is possible to define stages (DEV, INT, PROD) in each layer to allow structured release and test without affecting PROD.

Dashboards 104

Dashboards Analytics Metadata Data Warehouse 104

CIO Business Intelligence

MAY 25, 2022

Product lifecycle management definition. Here are some of the current top PLM vendors, according to Software Testing Help : Arena Solutions. PLM brings together people, data, processes, and business systems to aid an organization’s ability to develop, market, and support its products.

Management 105

Management Manufacturing Cost-Benefit IoT 105

AWS Big Data

APRIL 18, 2023

Under IAM Identity Center metadata , choose Download under IAM Identity Center SAML metadata file. We use this metadata file to create a SAML provider under OpenSearch Serverless. Under Application metadata , select Manually type your metadata values. Enter the metadata from your IdP that you downloaded earlier.

Dashboards 84

Dashboards Metadata Management Visualization 84

AWS Big Data

FEBRUARY 6, 2023

We then discuss a solution to further enhance end-to-end observability by modifying the task definitions that make up the data pipeline. For this post, we focus on task definitions for two services: AWS Glue and Amazon EMR­, however the same method can be applied across different services. For this post, we use the AWS Glue operator.

Management 89

Management Interactive Metadata Publishing 89

AWS Big Data

MAY 24, 2023

Update your-iceberg-storage-blog in the following configuration with the bucket that you created to test this example. Load data into the Iceberg table While inserting the data, we partition the data by review_date as per the table definition. Note the configuration parameters s3.write.tags.write-tag-name

Data Lake 89

Data Lake Snapshot Metadata Optimization 89

CIO Business Intelligence

APRIL 7, 2022

But we will, then, by definition, take away the ability to manage by working around. With back-testing and cross-validation, we found that we’ve consistently been able to predict two-thirds of people about to resign, and save 10% to 20% of the ones we identified,” he says. The results have been well beyond what you would expect.”.

Consulting 145

Consulting Interactive Management Metadata 145

Alation

SEPTEMBER 21, 2021

It is people, process, technology, and data — more importantly, metadata. Metadata provides technical and behavioral intelligence about data that can be used to decide where to start and how to plot a course to the destination, including who needs to be involved and who can offer assistance if roadblocks are encountered.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

IBM Big Data Hub

APRIL 13, 2023

SELECT count (*) FROM FLIGHT.FLIGHTS_DATA — — — 99879 Look into the scheme definition of the table. 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.

Modeling 81

Modeling Statistics Machine Learning Testing 81

AWS Big Data

OCTOBER 25, 2024

This solution has been only tested on Spark workloads running on EMR on EC2 that uses YARN as its resource manager. It hasn’t been tested on workloads from other frameworks that run on YARN, such as HIVE or TEZ. You can now test out this solution on an EMR cluster in a lab environment. Choose Next.

Metrics 83

Metrics Cost-Benefit Reporting Optimization 83

AWS Big Data

MARCH 30, 2023

services.k8s.aws/v1alpha1 kind: Bucket metadata: name: sparkjob-demo-bucket spec: name: sparkjob-demo-bucket kubectl apply -f ack-yamls/s3.yaml compute.internal Ready 19h v1.24.9-eks-49d8fe8 eks-49d8fe8 ip-10-1-10-65.us-west-2.compute.internal compute.internal Ready 19h v1.24.9-eks-49d8fe8 eks-49d8fe8 ip-10-1-10-7.us-west-2.compute.internal

Data-driven 76

Data-driven Metadata Testing Management 76

AWS Big Data

AUGUST 8, 2024

Furthermore, accessing these engine-defined views requires customers to have elevated access levels, granting them access to both the SQL view itself and the underlying databases and tables referenced in the view’s SQL definition. A view can be shared across different AWS accounts as well. Choose SELECT and DESCRIBE for View permissions.

Data Lake 97

Data Lake Sales Marketing Big Data 97

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Definition and Descriptions. We’ll start with standard definitions – the currently accepted wisdom in the industry. That definition plus the one-liner provide good starting points.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84