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

AWS Big Data

AUGUST 16, 2023

Iceberg captures metadata information on the state of datasets as they evolve and change over time. AWS Glue crawlers will extract schema information and update the location of Iceberg metadata and schema updates in the Data Catalog. Choose Create.

Data Lake 74

Data Lake Metadata Snapshot Management 74

Cloudera

JANUARY 19, 2024

This can include assumptions about the intent of the natural language used, like the definition of “top selling products,” values of needed literals, and how joins can be created. Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services.

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

Smart Data Collective

APRIL 14, 2021

It also allows you to create your data and creating consistent dataset definitions using LookML. it offers data connectors, visualization layers, and hosting all in one package, making it ideal for teams that are data-driven with limited resources. Analysts like LookML because of how easy it makes debugging and version control.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

Octopai

NOVEMBER 13, 2022

There is a host of general things to look out for when implementing data lineage in any environment, but here are some specific criteria for lineage for modern data stacks: Integrates with a wide range of cloud-based technologies. Choosing a data lineage solution for the modern data stack. Your data lineage tool should be no different.

Enterprise 77

Enterprise Data Warehouse Reporting Metadata 77

Octopai

JANUARY 31, 2021

The host is Tobias Macey, an engineer with many years of experience. The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. In terms of data lineage, they offer an excellent definition here. . Agile Data. Agile Data.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

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

AWS Big Data

MARCH 30, 2023

Amazon Elastic Kubernetes Service (Amazon EKS) is becoming a popular choice among AWS customers to host long-running analytics and AI or machine learning (ML) workloads. services.k8s.aws/v1alpha1 kind: Bucket metadata: name: sparkjob-demo-bucket spec: name: sparkjob-demo-bucket kubectl apply -f ack-yamls/s3.yaml We use the s3.yaml

Data-driven 69

Data-driven Metadata Testing Management 69

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.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

MARCH 13, 2024

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. The crawlers will automatically classify the data into JSON format, group the records into tables and partitions, and commit associated metadata to the AWS Glue Data Catalog. Choose Run.

Analytics 90

Analytics IoT Metadata Internet of Things 90

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. Evolution of the data platform requirements smava started with a single Redshift cluster to host all three data stages.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85

Laminar Security

AUGUST 23, 2023

Unlike approaches tailored to securing cloud infrastructure, cloud data security follows and defends your sensitive data wherever it goes or resides—and regardless of type—whether structured, unstructured, managed, or self-hosted. We only use your metadata for further analysis and reporting. Rational, high-fidelity AI.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Ontotext

MAY 18, 2020

The first type is metadata from images. The training of the image processing algorithms requires massive computing power, which will be provided by the exascale computer hosted on one of the most energy-efficient data centers – SurfSara, in Amsterdam. But your doctor will definitely have a richly interlinked archive to consult.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Rita Sallam

APRIL 2, 2023

By trying out different definitions of fairness we can balance our fairness goals against economic ones. Metadata management goes beyond technical metadata and even combining that with business metadata when it infers or anticipates new users of recently introduced data assets.

Optimization 52

Optimization Machine Learning Insurance Risk 52

AWS Big Data

MARCH 9, 2023

SCD2 metadata – rec_eff_dt and rec_exp_dt indicate the state of the record. Register source tables in the AWS Glue Data Catalog We use an AWS Glue crawler to infer metadata from delimited data files like the CSV files used in this post. It is also called the surrogate key and has a unique value that is monotonically increasing.

Slice and Dice 78

Slice and Dice Data Warehouse Metrics Metadata 78

Cloudera

SEPTEMBER 1, 2020

With HDFS, Solr servers are essentially stateless, so host failures have minimal consequences. Coordinates distribution of data and metadata, also known as shards. The following page is displayed: From the Cluster Definitions dropdown, select ‘Data Discovery and Exploration for AWS – PREVIEW’. Click Provision Cluster.

Snapshot 67

Snapshot Unstructured Data Dashboards Interactive 67

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

AWS Big Data

AUGUST 28, 2023

Index templates are predefined mappings for security data that selects the correct OpenSearch field types for corresponding Open Cybersecurity Schema Framework (OCSF) schema definition. Under sink, update the following information: Replace the hosts value in the OpenSearch section with the Amazon OpenSearch Service domain endpoint.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

MARCH 3, 2023

Although this post uses an Aurora PostgreSQL database hosted on AWS as the data source, the solution can be extended to ingest data from any of the AWS DMS supported databases hosted on your data centers. Solution overview The following diagram shows the overall architecture of the solution that we implement in this post.

Data Lake 79

Data Lake Dashboards Metrics Metadata 79

IBM Big Data Hub

APRIL 11, 2024

Therefore, we see national and international guidelines address these overlapping and intersecting definitions in a variety of ways. Responsibility for risk: These forms can imply that model owners will be absolved of risk because they used a certain technology or cloud host or procured a model from a third party.

Risk 78

Risk Consulting Modeling Data Processing 78

Cloudera

AUGUST 16, 2021

Users access the CDF-PC service through the hosted CDP Control Plane. The CDP control plane hosts critical components of CDF-PC like the Catalog , the Dashboard and the ReadyFlow Gallery. Before you can create any NiFi deployments with CDF-PC, you have to import your existing NiFi flow definitions into the Catalog. and later).

Dashboards 118

Dashboards Metrics KPI Data-driven 118

Alation

MAY 31, 2023

This year’s DGIQ West will host tutorials, workshops, seminars, general conference sessions, and case studies for global data leaders. data governance is filled with a myriad of terminology, definitions, and challenges. You can even ues this event to satisfy the continuing education requirements of the CDMP credential.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

Cloudera

JANUARY 21, 2022

System metadata is reviewed and updated regularly. Services in each zone use a combination of kerberos and transport layer security (TLS) to authenticate connections and APIs calls between the respective host roles, this allows authorization policies to be enforced and audit events to be captured. Sensitive data is encrypted.

Data Processing 108

Data Processing Management Cost-Benefit Finance 108

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. What would be your definition of interoperability and to what extent would standards and semantics play a role here? Worse, our definition and understanding of rubbish was different. Sure, that can help for sure.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Cloudera

JANUARY 21, 2021

By separating the compute, the metadata, and data storage, CDW dynamically adapts to changing workloads and resource requirements, speeding up deployment while effectively managing costs – while preserving a shared access and governance model. If the data is already there, you can move on to launching data warehouse services.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It is now most definitely a need-to-have. CRM, ERP, EHR/EMR) or portals (e.g., intranets or extranets). addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Alation

FEBRUARY 8, 2022

Duplication of data, too, may become a problem, as siloed patterns emerge unique to the domains that host them. Users must be able to access data securely — e.g., through RBAC policy definition. Some argue that data governance and quality practices may vary between domains. Principle #2: Data as a product. ” 1.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Cloudera

NOVEMBER 13, 2017

Unified – Conceptually, cloud sounds like a single place to host diverse, data-intensive functions. The ability to discover and define metadata definitions for the business is a critical enabler for self-service functions. Intelligent defaults and built-in logic eliminate much of the guess work.

Analytics 40

Analytics Big Data Machine Learning Cost-Benefit 40

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

Alation

JANUARY 17, 2023

If your organization is large, you definitely need to look for robustness. Cloud-based data warehouses are hosted on the cloud and can be accessed from anywhere. You should look for a data warehouse that is scalable, flexible, and efficient. Popular cloud data warehouses today include Snowflake, Databricks, and BigQuery.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

erwin

APRIL 16, 2024

erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest. It requires discipline, and information in the form of metadata about those being governed so that remedial action can be taken to hold people to account and ensure policies are being followed.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Cloudera

OCTOBER 7, 2021

Data and Metadata: Data inputs and data outputs produced based on the application logic. Also included, business and technical metadata, related to both data inputs / data outputs, that enable data discovery and achieving cross-organizational consensus on the definitions of data assets.

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. The idea of data retirement is often overlooked, (and this may be connected to the lack of definitions for the data lifecycle).

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

JULY 6, 2021

Machine learning plays a key role, as it can increase the speed and accuracy of metadata capture and categorization. New business terms are auto-added to glossaries, aligning teams on shared definitions. By analyzing metadata, the catalog streamlines data management and search. Metadata answers each of these questions.

Data Governance 52

Data Governance Metadata Data Quality Risk 52