DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Which report tab is wrong? Which production job filled that report? Are problems with data tests? You must dynamically test the code.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. Metadata management is key to sustainable data governance and any other organizational effort that is data-driven. Critical Application for Information Governance ” -Information Scientist, Healthcare Industry.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations. with Spark 3.3.2,

Optimization 112

Optimization Snapshot Data Lake Metadata 112

DataKitchen

AUGUST 9, 2021

In essence, a domain is an integrated data set and a set of views, reports, dashboards, and artifacts created from the data. The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., ….

Testing 246

Testing Data Lake Metadata Publishing 246

IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. Because lineage creates an environment where reports and data can be trusted, teams can make more informed decisions. Do we need weeks or months to complete a report? Is that report even entirely reliable? How will one decision affect customers?

Cost-Benefit 95

Cost-Benefit Metadata Data Governance Reporting 95

erwin

OCTOBER 8, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (APIs), file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. You don’t need to write any code. Choose Next.

Visualization 85

Visualization Metadata Testing Internet of Things 85

AWS Big Data

OCTOBER 11, 2023

Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. We use two datasets in this post.

Management 107

Management Metadata Analytics Dashboards 107

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 91

Metadata Data Lake Visualization Data Transformation 91

CIO Business Intelligence

OCTOBER 13, 2023

They often report to data infrastructure and data science leads. Established and emerging data technologies: Data architects need to understand established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

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. Another complication was the existing data silos.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. Transform stress testing The recent regional bank collapses also highlighted the crucial role stress-testing plays in modeling economic conditions.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

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. erwin DM 2020 is an essential source of metadata and a critical enabler of data governance and intelligence efforts. Click here to test drive of the new erwin DM.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

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 Technology 98

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence analyst job description A typical day for BI analysts includes collecting data from sources such as industry reports, public information, field reports, or purchased findings; analyzing data to identify trends; and sharing it with the proper stakeholders.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Smarten

JANUARY 30, 2024

The right self-serve data prep solution can provide easy-to-use yet sophisticated data prep tools that are suitable for your business users, and enable data preparation techniques like: Connect and Mash Up Auto Suggesting Relationships JOINS and Types Sampling and Outliers Exploration, Cleaning, Shaping Reducing and Combining Data Insights (Data Quality (..)

Analytics 67

Analytics Data Quality Visualization Metadata 67

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements. Did it fail?

Testing 130

Testing Data Governance Data Quality Data-driven 130

CIO Business Intelligence

DECEMBER 16, 2022

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more. Other tools including Informatica, Keras, Splunk and Redis also made the list.

Testing 93

Testing Metadata Data Processing Machine Learning 93

datapine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. For years, analysts in enterprises had struggled to find the data they needed to build reports. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Again, metadata is key.

Metadata 64

Metadata Data Governance Dashboards Software 64

CIO Business Intelligence

MARCH 24, 2023

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. Meant specifically to support self-service analytics, TrustCheck attaches guidelines and rules to data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

FEBRUARY 2, 2024

The Art of Service recommends candidates spend a minimum of 18 hours on the course to pass the certification test. Each tests capabilities and knowledge ranging from project management and data management processes to business intelligence and IT compliance. How to prepare: The fee includes an online training program and PDF textbook.

Management 113

Management Data Governance Cost-Benefit Testing 113

IBM Big Data Hub

JANUARY 3, 2024

In 2020, the National Institute for Health (NIH) published a report stating that Black Americans died from COVID-19 at higher rates than White Americans, even though they make up a smaller percentage of the population. As was common for the times, the drug was not tested for toxicity before it went to market. Require transparency.

Metadata 75

Metadata Modeling Testing Manufacturing 75

Cloudera

DECEMBER 15, 2022

Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Iceberg tables supported on CDP, automatically inherit the centralized and persistent Shared Data Experience (SDX) services—security, metadata, and auditing—from your CDP environment. .

Metadata 78

Metadata Data Warehouse Snapshot Data Quality 78

erwin

NOVEMBER 6, 2020

Metadata Harvesting and Ingestion : Automatically harvest, transform and feed metadata from virtually any source to any target to activate it within the erwin Data Catalog (erwin DC). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

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

AWS Big Data

DECEMBER 18, 2023

Amazon S3 hosts the metadata of all the tables as a.csv file. The pipeline uses the Step Functions distributed map to read the table metadata from Amazon S3, iterate on every single item, and call the downstream AWS Glue job in parallel to export the data. The following diagram illustrates the Step Functions workflow.

Metadata 123

Metadata Visualization Data Lake Data-driven 123

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. 6) Smart and faster reporting.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

O'Reilly on Data

DECEMBER 19, 2018

have a large body of tools to choose from: IDEs, CI/CD tools, automated testing tools, and so on. We have great tools for working with code: creating it, managing it, testing it, and deploying it. Metadata analysis makes it possible to build data catalogs, which in turn allow humans to discover data that’s relevant to their projects.

Machine Learning 258

Machine Learning Software Metadata Testing 258

AWS Big Data

MARCH 25, 2024

To test the new delete API, complete the following steps: On the Amazon MSK console, create a new worker configuration. Tags are key-value metadata that can be associated with AWS service resources. Provide a name and optional description. In the Worker configuration section, enter your configuration code.

Management 85

Management Metadata Reporting Big Data 85

Alation

DECEMBER 7, 2021

Alation surfaces valuable metadata, so users can quickly answer these questions with total confidence and trust. With this integration, organizations can fully harness the power of their metadata to maintain pristine data pipelines and serve high quality data to a broader range of users. Testing is key to the solution.

Data Quality 52

Data Quality Metadata Testing Data Governance 52

erwin

APRIL 15, 2020

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

Data Governance 134

Data Governance Metadata Testing Reporting 134

Cloudera

MAY 17, 2021

To help, we’ve compiled three great analyst reports which highlight some of these core concepts. Cloud Data Warehouse Performance Testing by GigaOM which tests 5 cloud data warehouses against an industry standard benchmark to see which cloud data warehouse offred the best price/performance.

Data Warehouse 89

Data Warehouse Measurement Reporting Testing 89

Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We pioneered the world’s first machine learning data catalog, centralizing technical, operational, business and behavioral metadata into one place. Activating metadata with Alation Anywhere.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

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 97

Dashboards Analytics Metadata Data Warehouse 97

IBM Big Data Hub

JUNE 7, 2023

According to an IBM report , cyberattacks like ransomware that used to take months to fully deploy can now take as little as four days. For example, a client could air-gap copies of the most sensitive data, hold it off-premises and periodically test for recoverability.

Snapshot 81

Snapshot Metadata Enterprise Testing 81