AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 83

Finance Metadata Big Data Recreation/Entertainment 83

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

MAY 4, 2023

Amazon’s Open Data Sponsorship Program allows organizations to host free of charge on AWS. These datasets are distributed across the world and hosted for public use. Data scientists have access to the Jupyter notebook hosted on SageMaker. The OpenSearch Service domain stores metadata on the datasets connected at the Regions.

Data Processing 94

Data Processing Metadata Informatics Interactive 94

AWS Big Data

MAY 31, 2024

The workflow includes the following steps: The end-user accesses the CloudFront and Amazon S3 hosted movie search web application from their browser or mobile device. The Lambda function queries OpenSearch Serverless and returns the metadata for the search. Based on metadata, content is returned from Amazon S3 to the user.

Metadata 107

Metadata Management Testing Data-driven 107

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

CIO Business Intelligence

DECEMBER 16, 2022

There were also a host of other non-certified technical skills attracting pay premiums of 17% or more, way above those offered for certifications, and many of them centered on management, methodologies and processes or broad technology categories rather than on particular tools.

Testing 83

Testing Metadata Data Processing Machine Learning 83

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. Here is the link to Alteryx’s Data Science and Machine Learning Bake-Off video. We did two Bake-Offs this year. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

NOVEMBER 17, 2022

The platform’s capabilities in security, metadata, and governance will provide robust support to HBL’s focus on compliance and keeping data clean and safe in an increasingly complex regulatory and threat environment. CDP Private Cloud’s new approach to data management and analytics would allow HBL to access powerful self-service analytics.

Management 85

Management Data Lake Consulting Unstructured Data 85

Cloudera

APRIL 21, 2022

(Remember, a pedabyte of data is roughly equivalent to 500 billion pages of standard printed text) A solution was needed to backstop those never-ending streams of data into a single, universally available platform, using advanced analytics powered by machine learning optimized for a cloud service.

Metadata 87

Metadata Informatics Insurance Data Processing 87

AWS Big Data

JUNE 13, 2023

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML) powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Download the SAML metadata file. Save full code from saml-metadata.xml to your local machine.

Metadata 52

Metadata Dashboards Business Intelligence Management 52

AWS Big Data

MARCH 19, 2024

further simplifies integration with artificial intelligence (AI) and machine learning (ML) models, facilitating the implementation of semantic search. This dataset is a collection of 147,702 product listings with multilingual metadata and 398,212 unique catalog images. You only use the item images and item names in US English.

Data Processing 68

Data Processing Modeling Machine Learning Metadata 68

Domino Data Lab

OCTOBER 9, 2019

NOAA hosts a unique concentration of the world’s climate science research throughout its labs and other centers, with experts in closely adjacent fields: polar ice, coral reef health, sunny day flooding, ocean acidification, fisheries counts, atmospheric C02, sea-level rise, ocean currents, and so on. Metadata Challenges.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. Data Champions: OVO (PT Visionet Internasional) — Using advanced, intelligent data analytics and machine learning to increase customer conversion rates. DATA FOR ENTERPRISE AI.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

CIO Business Intelligence

JUNE 6, 2023

A European Multinational Insurance company deployed CDP both on-prem and on Azure public cloud with Cloudera Data Science Workbench (CDSW) and Cloudera Machine Learning (CML). That means security, governance, and metadata. “Core infrastructure isn’t going anywhere. It’s clear that we need to use the cloud more smartly.

Insurance 52

Insurance Metadata Data Processing Machine Learning 52

Cloudera

NOVEMBER 22, 2021

Virtual Machine-based autoscaling) instead of using advanced deployment types such as containers that reduce time to scale up / down compute resources. Limited flexibility to use more complex hosting models (e.g., public, private, hybrid cloud)?

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. About the Authors Eliad Gat is a Big Data & AI/ML Architect at Orca Security.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

AWS Big Data

OCTOBER 18, 2023

FINRA centralizes all its data in Amazon Simple Storage Service (Amazon S3) with a remote Hive metastore on Amazon Relational Database Service (Amazon RDS) to manage their metadata information. host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password')

Big Data 81

Big Data Data Processing Interactive Testing 81

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. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. We keep feeding the monster data.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. He leads the product initiatives for AI and machine learning (ML) on OpenSearch including OpenSearch’s vector database capabilities.

Visualization 92

Visualization Cost-Benefit Modeling Machine Learning 92

AWS Big Data

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Business metadata is stored and managed by Amazon DataZone, which is underpinned by technical metadata and schema information, which is registered in the AWS Glue Data Catalog.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Ontotext

NOVEMBER 22, 2020

Content Enrichment and Metadata Management. The value of metadata for content providers is well-established. When that metadata is connected within a knowledge graph, a powerful mechanism for content enrichment is unlocked. Ontotext Platform can be employed for a number of applications within an enterprise.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

MARCH 9, 2023

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Slice and Dice 80

Slice and Dice Dashboards Analytics Interactive 80

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

Data-driven 72

Data-driven Metadata Testing Management 72

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. After the table is cataloged in your AWS Glue metadata catalog, you can run queries directly on your data in your S3 data lake through OpenSearch Dashboards.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113

Cloudera

MAY 18, 2021

CDP Public Cloud leverages the elastic nature of the cloud hosting model to align spend on Cloudera subscription (measured in Cloudera Consumption Units or CCUs) with actual usage of the platform. Machine Learning Prototypes. that optimizes autoscaling for compute resources compared to the efficiency of VM-based scaling. .

Cost-Benefit 86

Cost-Benefit Data-driven Data Warehouse Machine Learning 86

Cloudera

NOVEMBER 13, 2017

Cloud PaaS takes this a step further and allows users to focus directly on building data pipelines, training machine learning models, developing analytics applications — all the value creation efforts, vs the infrastructure operations. Intelligent defaults and built-in logic eliminate much of the guess work.

Analytics 40

Analytics Big Data Machine Learning Cost-Benefit 40

AWS Big Data

JULY 26, 2023

The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having to manage the underlying vector database infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. First off, her slides are fantastic! Nick Elprin.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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 94

Data Lake Data Warehouse IT Analytics 94

AWS Big Data

MARCH 10, 2023

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data. Data can be organized into three different zones, as shown in the following figure.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

AWS Big Data

JULY 14, 2023

Each business capability then has visibility into all the associated digital assets and mapped metadata of the services, such as consumers of the API. With that, you are now hosting a serverless web application for your business capabilities securely and at scale. The following diagram illustrates the solution architecture.

Modeling 71

Modeling Visualization Reporting Measurement 71

AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. This feature is particularly useful if you want to externally process various files, evaluate multiple machine learning models, or extraneously process a varied amount of data based on a SQL request. environment.

Testing 101

Testing Experimentation Management Metadata 101

Cloudera

AUGUST 21, 2020

Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. Machine learning-based process optimization . E.g. HDFS ACLs, metadata authorization hooks, and dependencies that may lead to risks, exposures, failures later on. Streaming data analytics. .

Cost-Benefit 76

Cost-Benefit Big Data ROI Risk 76

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. We can compare open source licenses hosted on the Open Source Initiative site: In [11]: lic = {} ?lic["mit"] metadata=convention_df["speaker"]? ). return "n" join(buf)?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

bridgei2i

MARCH 3, 2021

In this episode of the AI to Impact Podcast, host Pavan Kumar speaks to Prinkan Pal about the evolution of data engineering and ML-operations from a closed team into a tech consulting unit. I’m your host – Pawan Kumar. Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

AWS Big Data

APRIL 25, 2023

AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. AWS Step Functions is a visual workflow service that helps developers use AWS services to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. Let’s take an example.

Sales 72

Sales Visualization Software Marketing 72