CIO Business Intelligence

DECEMBER 16, 2022

The average pay premium paid for another qualification, Certified in the Governance of Enterprise IT (CGEIT) , rose 37.5%, also hitting 11% of base salary. One of the hottest IT qualifications was Okta Certified Professional, attracting an average pay premium of 11%, up 57.1% since March.

Testing 93

Testing Metadata Data Processing Machine Learning 93

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. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

Alation

DECEMBER 13, 2022

Ask a data catalog user these questions, and they will likely use a simple analogy: “A data catalog is like Google meets Amazon for enterprise data.” And with good reason: when bright people can learn from and leverage the work of other bright folks in previously siloed business units, exciting innovations can take place.

Metadata 52

Metadata Data Governance Enterprise Insurance 52

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

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. These four capabilities together define the Enterprise Data Cloud.

Data Processing 92

Data Processing Data Warehouse Enterprise Visualization 92

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

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 FOR ENTERPRISE AI. Data Champions: OVO (PT Visionet Internasional) — Using advanced, intelligent data analytics and machine learning to increase customer conversion rates.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

Alation

JULY 6, 2021

Every enterprise runs into data governance challenges eventually. As enterprises struggle to juggle all three, data governance offers a vital framework. And one enterprise alone can generate a world of data. If analysts can access the data they need instantly, that can save an enterprise months of lost labor. The result?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Ontotext

NOVEMBER 22, 2020

Ontotext’s extensive experience of bringing enterprise-level to national and global brands understands this and has for over a decade strived to make the power of semantic technology accessible. From packaging and deployment to monitoring tools and report generations, the Platform has everything an enterprise needs.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Domino Data Lab

APRIL 3, 2019

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). Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. for DG adoption in the enterprise.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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 115

Data Lake Analytics Dashboards Metrics 115

AWS Big Data

JULY 14, 2023

Use case overview Bob is a Senior Enterprise Architect. Defining and capturing a business capability model If an enterprise doesn’t have a system to capture the business capability model, consider defining and finding a way to capture the model for better insight and visibility, and then map it with digital assets like APIs.

Modeling 73

Modeling Visualization Reporting Measurement 73

AWS Big Data

APRIL 26, 2024

AWS Lake Formation allows data administrators to centrally govern, secure, and share data for analytics and machine learning (ML). Both enterprise users from Okta are provisioned in IAM Identity Center. This allows users to directly access EMR Studio with their enterprise credentials. Choose Create.

Analytics 97

Analytics Data Lake Management Enterprise 97

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. That approach fits well with the differentiated needs in enterprise. Just doing machine learning is not enough, and sometimes not even necessary.”.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Cloudera

AUGUST 21, 2020

Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. Machine learning-based process optimization . There is no one single tool or component that can deliver successful enterprise-grade results. Streaming data analytics. . Data science & engineering.

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

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 85

Cost-Benefit Data-driven Machine Learning Data Warehouse 85

Jet Global

FEBRUARY 23, 2024

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. Business applications use metadata and semantic rules to ensure seamless data transfer without loss.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

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 105

Data Lake Sales Data Warehouse Snapshot 105

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. Central control of security and governance.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

AWS Big Data

APRIL 28, 2023

This is the second post of a three-part series detailing how Novo Nordisk , a large pharmaceutical enterprise, partnered with AWS Professional Services to build a scalable and secure data and analytics platform. This is a guest post co-written with Jonatan Selsing and Moses Arthur from Novo Nordisk.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

Alation

FEBRUARY 13, 2020

I’m John Furrier, co-host of theCUBE. It’s growth: it’s going to more customers, both domestically and abroad; going to a broader user base; more enterprise-wide adoption within those customers. Imagine taking that same kind of experience of seamless integration to the more important questions enterprises are asking.

ROI 52

ROI Data-driven Finance Data Quality 52

Alation

FEBRUARY 13, 2020

This article is based on a podcast Ron Powell conducted with Sharon Graves, Enterprise Data and BI Tools Evangelist for GoDaddy, about data curation, data stewardship, and data catalogs. Ron is an independent analyst and industry expert for the BeyeNetwork and executive producer of The World Transformed Fast Forward Series.

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. Metadata Self-service analysis is made easy with user-friendly naming conventions for tables and columns. If you host a SaaS application in the cloud, do not simply assess desktop tools or run analysis off a cleansed spreadsheet.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52