datapine

AUGUST 20, 2019

Big data: Architecture and Patterns. The Big data problem can be comprehended properly using a layered architecture. Big data architecture consists of different layers and each layer performs a specific function. The architecture of Big data has 6 layers. Big Data Ingestion.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Select Redshift data agent , then choose OK.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

AWS Big Data

SEPTEMBER 5, 2024

The currently available choices include: The Amazon Redshift COPY command can load data from Amazon Simple Storage Service (Amazon S3), Amazon EMR , Amazon DynamoDB , or remote hosts over SSH. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

JULY 16, 2024

Systematically detect potential threats and react to a system’s state through alerting, and integrating those alerts back into Zurich’s SIEM for larger correlation, reducing by approximately 85% the amount of data ingestion into Zurich’s SIEM. She currently serves as the Global Head of Cyber Data Management at Zurich Group.

Insurance 130

Insurance Management Cost-Benefit Optimization 130

erwin

SEPTEMBER 16, 2024

Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption. Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption.

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

IBM Big Data Hub

DECEMBER 4, 2023

For organizations embarking on a digital transformation , it’s crucial to visualize how an ERP system will integrate with every aspect of a business’ operations. During configuration, an organization constructs its data architecture and defines user roles.

Testing 71

Testing Consulting Digital Transformation Cost-Benefit 71

AWS Big Data

MARCH 3, 2023

The Delta tables created by the EMR Serverless application are exposed through the AWS Glue Data Catalog and can be queried through Amazon Athena. Solution overview The following diagram shows the overall architecture of the solution that we implement in this post. Monjumi Sarma is a Data Lab Solutions Architect at AWS.

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The job runs in the target account.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

APRIL 28, 2025

In your project, in the navigation pane, choose Data. Choose the plus sign, and for Add data source , choose Add connection. For Data source name , enter postgresql_source. For Host , enter the host name of your Aurora PostgreSQL database cluster. Choose Add data source. Select PostgreSQL.

Big Data 66

Big Data Visualization Data Processing Data Processing 66

AWS Big Data

APRIL 28, 2025

Create a federated connection for Amazon Redshift Complete the following steps to create a federated catalog in the Data Catalog to query the data using various preferred analytics tools such as Athena, visual ETL in SageMaker Unified Studio, Amazon EMR, and more: On the SageMaker Unified Studio console, choose your project.

Metadata 61

Metadata Data Lake Big Data Management 61