Remove Cost-Benefit Remove Data Architecture Remove Data Transformation Remove Optimization
article thumbnail

How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

article thumbnail

Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool

AWS Big Data

When migrating Hadoop workloads to Amazon EMR , it’s often difficult to identify the optimal cluster configuration without analyzing existing workloads by hand. To solve this, we’re introducing the Hadoop migration assessment Total Cost of Ownership (TCO) tool. We also share case studies to show you the benefits of using the tool.

article thumbnail

Deep dive into the AWS ProServe Hadoop Migration Delivery Kit TCO tool

AWS Big Data

In the post Introducing the AWS ProServe Hadoop Migration Delivery Kit TCO tool , we introduced the AWS ProServe Hadoop Migration Delivery Kit (HMDK) TCO tool and the benefits of migrating on-premises Hadoop workloads to Amazon EMR. After you complete the checklist, you’ll have a better understanding of how to design the future architecture.

article thumbnail

Power enterprise-grade Data Vaults with Amazon Redshift – Part 1

AWS Big Data

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0 Data Vault 2.0

article thumbnail

How to modernize data lakes with a data lakehouse architecture

IBM Big Data Hub

Data may be stored in its raw original form or optimized into a different format suitable for consumption by specialized engines. Data could be persisted in open data formats, democratizing its consumption, as well as replicated automatically which helped you sustain high availability.

article thumbnail

Best BI Tools For 2024 You Need to Know

FineReport

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Best BI Tools for Data Analysts 3.1 Cost-effective pricing and comprehensive supporting services, maximizing value.