AWS Big Data

JUNE 26, 2023

Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. Typically, companies ingest data from multiple sources into their data lake to derive valuable insights from the data. The following diagram shows our solution architecture.

Insurance 87

Insurance Visualization Data Lake Metrics 87

Cloudera

DECEMBER 14, 2022

The bank and its subsidiaries offer a broad array of commercial banking, specialist financial and wealth management services, ranging from consumer, corporate, investment, private and transaction banking to treasury, insurance, asset management and stockbroking services. Real-time data analysis for better business and customer solutions.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

CIO Business Intelligence

JULY 26, 2023

“We’ve been able to create some models that will analyze things like the listing comments and descriptions and tell you which properties are waterfront or not,” Wilhemy says, adding that such data gives its agents a competitive advantage by enabling them to reach out to a selective set of potential buyers first.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

AUGUST 6, 2024

It ingests data from both streaming and batch sources and organizes it into logical tables distributed across multiple nodes in a Pinot cluster, ensuring scalability. Pinot provides functionality similar to other modern big data frameworks, supporting SQL queries, upserts, complex joins, and various indexing options.

OLAP 93

OLAP Analytics Visualization Dashboards 93

AWS Big Data

AUGUST 21, 2024

Compute scales based on data volume. Use case 3 – A data lake query scanning large datasets (TBs). Compute scales based on the expected data to be scanned from the data lake. The expected data scan is predicted by machine learning (ML) models based on prior historical run statistics.

Optimization 88

Optimization Data Lake Data Warehouse Cost-Benefit 88

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. DeeQu is optimized to run data quality rules in minimal passes that makes it efficient.

Data Quality 97

Data Quality Statistics Data Lake Visualization 97

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

MARCH 27, 2024

Amazon Redshift integrates with AWS HealthLake and data lakes through Redshift Spectrum and Amazon S3 auto-copy features, enabling you to query data directly from files on Amazon S3. This means you no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog.

Data Analytics 105

Data Analytics Analytics Data Warehouse Data Lake 105

AWS Big Data

MAY 4, 2023

The rule requires health insurers to provide clear and concise information to consumers about their health plan benefits, including costs and coverage details. The Transparency in Coverage rule also requires insurers to make available data files that contain detailed information on the prices they negotiate with health care providers.

Insurance 88

Insurance Publishing Cost-Benefit Data Lake 88

AWS Big Data

MAY 28, 2024

The details of each step are as follows: Populate the Amazon Redshift Serverless data warehouse with company stock information stored in Amazon Simple Storage Service (Amazon S3). Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 102

Unstructured Data Data Warehouse Structured Data Testing 102

DataRobot Blog

OCTOBER 3, 2017

With this integration, customers can now harness the full power of Azure’s Big Data offerings in a self-service manner to gain immediate value.”. This highlights the two companies’ shared vision on self-service data discovery with an emphasis on collaboration and data governance.

Data Lake 52

Data Lake Data Architecture Advertising Insurance 52

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

Alation

FEBRUARY 13, 2020

“We hear little about initiatives devoted to changing human attitudes and behaviors around data. Unless the focus shifts to these types of activities, we are likely to see the same problem areas in the future that we’ve observed year after year in this survey.” — Big Data and AI Executive Survey 2019.

Digital Transformation 59

Digital Transformation Insurance Data-driven Machine Learning 59

AWS Big Data

FEBRUARY 21, 2023

At the heart of all data warehousing is integration, and this layer contains integrated data from multiple sources built around the enterprise-wide business keys. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse.

Data Warehouse 70

Data Warehouse Data Lake Cost-Benefit Metadata 70

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 76

Cost-Benefit Metadata Data Governance Modeling 76

AWS Big Data

JULY 25, 2023

Analytics Specialist Solutions Architect based out of Atlanta, specialized in building enterprise data platforms, data warehousing, and analytics solutions. He has over 17 years of experience in building data assets and leading complex data platform programs for banking and insurance clients across the globe.

Metrics 87

Metrics Data Warehouse Dashboards Snapshot 87

AWS Big Data

OCTOBER 4, 2023

As part of this engagement, Cognizant helped the customer successfully migrate their Informatica based data acquisition and integration ETL jobs and workflows to AWS.

Data Warehouse 64

Data Warehouse Cost-Benefit Metadata Data Lake 64

IBM Big Data Hub

FEBRUARY 2, 2023

This functionality provides access to data by storing it in an open format, increasing flexibility for data exploration and ML modeling used by data scientists, facilitating governed data use of unstructured data, improving collaboration, and reducing data silos with simplified data lake integration.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

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.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

IBM Big Data Hub

JULY 7, 2023

Secure databases in the physical data center, big data platforms and the cloud. To comply with data protection regulations, highly regulated industries require organizations to maintain high data security. In 2022, it took an average of 277 days to identify and contain a data breach.

Risk 40

Risk Data Governance Data Lake Data-driven 40

Peter James Thomas

AUGUST 12, 2018

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. I explore some similar themes in a section of Data Visualisation – A Scientific Treatment.

Metrics 49

Metrics Statistics Data Quality Measurement 49

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. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Overlapping with the above, from around 2012, I began to get involved in also designing and implementing Big Data Architectures; initially for narrow purposes and later Data Lakes spanning entire enterprises.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

CIO Business Intelligence

MAY 24, 2022

Furthermore, all research data was made more easily available to a wider group of researchers, giving scientists the capability to deep dive on pharma analytics. . Insurance. New data scientists can then be onboarded more easily and efficiently. Find out more about Cloudera Data Platform here. . Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

AWS Big Data

MARCH 13, 2025

About the Authors Raj Ramasubbu is a Senior Analytics Specialist Solutions Architect focused on big data and analytics and AI/ML with Amazon Web Services. Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS. This post is cowritten with Mayank Shrivastava and Barkha Herman from StarTree.

Management 91

Management Analytics OLAP Online Analytical Processing 91

AWS Big Data

MARCH 24, 2025

Amazon Redshift supports querying data stored using Apache Iceberg tables , an open table format that simplifies management of tabular data residing in data lakes on Amazon Simple Storage Service (Amazon S3). Note Amazon Redshift is just one option for querying data stored in S3 Tables.

Data Lake 91

Data Lake Data Warehouse Optimization Management 91