Octopai

JANUARY 31, 2021

Within each episode, there are actionable insights that data teams can apply in their everyday tasks or projects. The host is Tobias Macey, an engineer with many years of experience. Agile Data. Agile Data. Another podcast we think is worth a listen is Agile Data. Malcolm Chisholm.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

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. For big data processing, which requires distributed computing, you can use Spark on Amazon EKS. We use the file emr-virtualcluster.yaml. We use the s3.yaml

Data-driven 72

Data-driven Metadata Testing Management 72

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Definition and Descriptions. In other words, #adulting.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. The net result is much improved productivity for data engineers, data scientists, and analysts. Unified – Conceptually, cloud sounds like a single place to host diverse, data-intensive functions.

Analytics 40

Analytics Big Data Machine Learning Cost-Benefit 40

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. 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.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

AWS Big Data

MARCH 13, 2024

AWS Glue crawls both S3 bucket paths, populates the AWS Glue database tables based on the inferred schemas, and makes the data available to other analytics applications through the AWS Glue Data Catalog. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 94

Analytics IoT Metadata Internet of Things 94

AWS Big Data

MARCH 9, 2023

During each data load, incoming change records are matched against existing active records, comparing each attribute value to determine whether existing records have changed or were deleted or are new records coming in. SCD2 metadata – rec_eff_dt and rec_exp_dt indicate the state of the record.

Slice and Dice 82

Slice and Dice Data Warehouse Metrics Metadata 82

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

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83

IBM Big Data Hub

APRIL 11, 2024

In the context of AI, it can refer to the safety and ethics guardrails of AI tools and systems, policies concerning data access and model usage or the government-mandated regulation itself. Therefore, we see national and international guidelines address these overlapping and intersecting definitions in a variety of ways.

Risk 74

Risk Consulting Modeling Data Processing 74

Alation

JANUARY 17, 2023

Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? What Are the Benefits of a Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

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. Ideally, your primary data source should belong in this group. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Alation

JULY 6, 2021

Machine learning plays a key role, as it can increase the speed and accuracy of metadata capture and categorization. These features add context to the data for effective “hands-free” governance. New business terms are auto-added to glossaries, aligning teams on shared definitions. How often is it accessed?

Data Governance 52

Data Governance Metadata Data Quality Risk 52