CIO Business Intelligence

JANUARY 9, 2025

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

AWS Big Data

DECEMBER 16, 2024

This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives. For Host , enter your host name of your Aurora PostgreSQL database cluster. On your project, in the navigation pane, choose Data. Choose Next.

Visualization 95

Visualization Data Processing Testing Publishing 95

AWS Big Data

MAY 7, 2024

This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines. Second, the data producer needs to consolidate the data asset’s metadata in the business catalog and enrich it with business metadata.

Metadata 108

Metadata Data Lake Data Processing Data-driven 108

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 58

Metadata Data Lake Machine Learning Big Data 58

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 Data Science Machine Learning Data-driven 105

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. awsAccessKey=s3-spark-user/HOST@REALM.COM. Ozone Namespace Overview.

Data Science 113

Data Science Forecasting Metadata Machine Learning 113

AWS Big Data

DECEMBER 5, 2024

This type of structure is foundational at REA for building microservices and timely data processing for real-time and batch use cases like time-sensitive outbound messaging, personalization, and machine learning (ML). In this post, we share our approach to MSK cluster capacity planning.

Metrics 98

Metrics Dashboards Testing Optimization 98

AWS Big Data

JUNE 10, 2024

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. The onboarding of producers is facilitated by sharing metadata, whereas the onboarding of consumers is based on granting permission to access this metadata. The producer account will host the EMR cluster and S3 buckets.

Data Lake 117

Data Lake Metadata Data Warehouse Data Processing 117

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 121

Data Processing Metadata Informatics Interactive 121

AWS Big Data

FEBRUARY 7, 2024

Create an Amazon Route 53 public hosted zone such as mydomain.com to be used for routing internet traffic to your domain. For instructions, refer to Creating a public hosted zone. Request an AWS Certificate Manager (ACM) public certificate for the hosted zone. hosted_zone_id – The Route 53 public hosted zone ID.

Dashboards 110

Dashboards Data Processing Metadata Consulting 110

AWS Big Data

SEPTEMBER 12, 2024

We developed and host several applications for our customers on Amazon Web Services (AWS). AWS services such as Amazon Neptune and Amazon OpenSearch Service form part of their data and analytics pipelines, and AWS Batch is used for long-running data and machine learning (ML) processing tasks.

Unstructured Data 110

Unstructured Data Metadata Machine Learning Consulting 110

AWS Big Data

DECEMBER 13, 2023

BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). 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. It retrieves the specified files and available metadata to show on the UI.

Metadata 110

Metadata Data Lake Visualization Data Transformation 110

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 98

Finance Metadata Big Data Recreation/Entertainment 98

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 98

Testing Metadata Data Processing Machine Learning 98

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 135

Metadata Data-driven Management Testing 135

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.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

AWS Big Data

JUNE 18, 2024

To enable multimodal search across text, images, and combinations of the two, you generate embeddings for both text-based image metadata and the image itself. In addition, OpenSearch Service supports neural search , which provides out-of-the-box machine learning (ML) connectors.

Dashboards 118

Dashboards Metadata Modeling Visualization 118

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 Science 110

Data Science Data-driven Machine Learning Modeling 110

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

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

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 Machine Learning Consulting 78

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

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 105

Big Data Data Processing Interactive Testing 105

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 118

Visualization Cost-Benefit Modeling Machine Learning 118

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

AWS Big Data

MARCH 9, 2023

break; } } } const frameOptions = { url: ' ', container: document.getElementById("dashboardContainer"), width: "100%", height: "AutoFit", loadingHeight: "200px", withIframePlaceholder: true, onChange: (changeEvent, metadata) => { switch (changeEvent.eventName) { case 'ERROR': { document.getElementById("dashboardContainer").append('Unable

Slice and Dice 98

Slice and Dice Dashboards Analytics Interactive 98

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 98

Data Lake Analytics Snapshot Data Quality 98

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 Machine Learning Data Warehouse 86

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 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 131

Data Lake Analytics Dashboards Metrics 131

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 130

Testing Experimentation Management Metadata 130

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 121

Data Lake Sales Data Warehouse Snapshot 121

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 Warehouse 94

Data Warehouse Data Lake IT Analytics 94

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 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102

AWS Big Data

JULY 16, 2024

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Zurich wanted to identify a log management solution to work in conjunction with their existing SIEM solution.

Insurance 129

Insurance Management Cost-Benefit Optimization 129

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. IBM watsonx.ai With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

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 110

Enterprise Data Warehouse Snapshot Cost-Benefit 110