CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Today, we backflush our data lake through our data warehouse. We’re still in that journey.”

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

AWS Big Data

OCTOBER 30, 2024

The company has been designing, developing, and manufacturing jet engines since World War I. “GE With the support for auto-copy from Amazon S3, we can build simpler data pipelines to move data from Amazon S3 to Amazon Redshift. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Warehouse 89

Data Warehouse Sales Data Lake Recreation/Entertainment 89

CDW Research Hub

JULY 18, 2022

One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform. We have developed these best practices across dozens of clients in major industries such as retail, healthcare, financial services and manufacturing. Security Data Lake. Snowflake Health Check.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

CIO Business Intelligence

MAY 21, 2024

Unlike many other events, which consist of multiple racing teams and manufacturers, Porsche Carrera Cup Brasil provides and maintains all 75 cars used in the race. Real-Time Intelligence, on the other hand, takes that further by supporting data in AWS, Google Cloud Platform, Kafka installations, and on-prem installations. “We

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing 130

Testing Dashboards Data Lake Data Science 130

CIO Business Intelligence

JULY 26, 2023

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates. We have made a tremendous investment in this integrated architecture that sits on the cloud and are aggressively innovating on top of that.”

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

AUGUST 2, 2023

The data architecture diagram below shows an example of how you could use AWS services to calculate and visualize an organization’s estimated carbon footprint. Customers have the flexibility to choose the services in each stage of the data pipeline based on their use case. Emission factors and GWPs come from the US EPA website.

Data Lake 79

Data Lake Measurement Visualization Data Architecture 79

AWS Big Data

MARCH 25, 2024

You can find similar use cases in other industries such as retail, car manufacturing, energy, and the financial industry. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature.

Data Lake 105

Data Lake Unstructured Data Management Snapshot 105

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

JANUARY 30, 2024

You will not be successful without procurement, R&D, supply chain, manufacturing, sales, human resources, legal, and tax at the table.” This year, the team will connect all ESG data sources to the Allianz data lake, which also contains the parent company’s commercial, financial, and HR data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Only then can you extract insights across fragmented data architecture.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

IBM Big Data Hub

FEBRUARY 2, 2023

In addition, companies have complex data security requirements. This approach has several benefits, such as streamlined migration of data from on-premises to the cloud, reduced query tuning requirements and continuity in SRE tooling, automations, and personnel. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

CIO Business Intelligence

AUGUST 7, 2024

The company started its New Analytics Era initiative by migrating its data from outdated SQL servers to a modern AWS data lake. It then built a cutting-edge cloud-based analytics platform, designed with an innovative data architecture.

IT 119

IT Insurance Cost-Benefit Testing 119

AWS Big Data

NOVEMBER 14, 2024

APIs act as the entry point for applications to access data, business logic, or functionality from your backend services. Amazon Data Firehose – Data Firehose is an extract, transform, and load (ETL) service that reliably captures, transforms, and delivers streaming data to data lakes, data stores, and analytics services.

Data Lake 94

Data Lake Metadata Testing Data-driven 94