AWS Big Data

SEPTEMBER 6, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. This helps in seamless migrations from traditional data warehouses like Teradata and SQL Server.

Data Warehouse 98

Data Warehouse Insurance Statistics Software 98

CIO Business Intelligence

MAY 24, 2022

The survey found the mean number of data sources per organisation to be 400, and more than 20 percent of companies surveyed to be drawing from 1,000 or more data sources to feed business intelligence and analytics systems. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years.

Data-driven 76

Data-driven Data Lake Data Warehouse Cost-Benefit 76

IBM Big Data Hub

SEPTEMBER 11, 2023

Watsonx.data on AWS: Imagine having the power of data at your fingertips. watsonx.data is a software-as-a-service (SaaS) offering that revolutionizes data management. A glimpse of real-world impact: Data-driven success The true power of this partnership and its offerings becomes evident when considering real-world scenarios.

Data-driven 107

Data-driven Insurance Digital Transformation Data Warehouse 107

Alation

JULY 22, 2021

Our platform combines data insights with human intelligence in pursuit of this mission. Susannah Barnes, an Alation customer and senior data governance specialist at American Family Insurance, introduced our team to faculty at the School of Information Studies of the University of Wisconsin, Milwaukee (UWM-SOIS), her alma mater.

Informatics 98

Informatics Big Data Insurance Metadata 98

Cloudera

AUGUST 2, 2018

It goes unnoticed but cyber threats are routinely hunted down by correlating hundreds of attributes from disparate data sources – even as data types and formats evolve. Leading insurers are underwriting policies with lower risks. We call it ‘Modern Data Warehousing’. The key ingredient is something we call H-3.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Ashish Agrawal is a Sr.

Metrics 83

Metrics Data Warehouse Dashboards Snapshot 83

AWS Big Data

OCTOBER 4, 2023

Migrating on-premises data warehouses to the cloud is no longer viewed as an option but a necessity for companies to save cost and take advantage of what the latest technology has to offer. This blog post is co-written with Govind Mohan and Kausik Dhar from Cognizant.

Data Warehouse 59

Data Warehouse Cost-Benefit Metadata Data Lake 59

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Of course some architectures featured both paradigms as well. In Closing.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

erwin

FEBRUARY 19, 2021

It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms. With this accurate picture of your metadata landscape, you can accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. Brian Ross is a Senior Software Development Manager at AWS.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

Sisense

MARCH 27, 2019

To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools. This allows dashboards to show both real-time and historic data in a holistic way. What are the Real-Time BI Best Practices?

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

Cost-Benefit 78

Cost-Benefit Metadata Data Governance Modeling 78

IBM Big Data Hub

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. The post Exploring the AI and data capabilities of watsonx appeared first on IBM Blog.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

Alation

FEBRUARY 13, 2020

We also have some primary insurance entities in the group, but the main thing about reinsurance is that we’re taking care of the big and complex risks in the world. A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Ravi helps customers with enterprise data strategy initiatives across insurance, airlines, pharmaceutical, and financial services industries.

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

AWS Big Data

FEBRUARY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Yanzhu Ji is a Product Manager on the Amazon Redshift team.

Online Analytical Processing 77

Online Analytical Processing OLAP Slice and Dice Analytics 77

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Domino Data Lab

JULY 22, 2019

You know, companies like telecom and insurance, they don’t really need machine learning.” If you were out five years ago talking in industry about the importance of graphs and graph algorithms and representation of graph data, because most business data ultimately is some form of graph. ” But that changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Domino Data Lab

FEBRUARY 4, 2019

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. Stakeholders increasingly depend on results from data science teams. Taking a pulse.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66