Remove key-considerations-when-making-a-decision-on-a-cloud-data-warehouse
article thumbnail

Key considerations when making a decision on a Cloud Data Warehouse

Cloudera

Making a decision on a cloud data warehouse is a big deal. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed. You need to have the best price/performance to optimize your cost management.

article thumbnail

Successfully conduct a proof of concept in Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. For a POC on Amazon Redshift, we recommend a three-phase process of discovery, implementation, and evaluation.

Testing 99
Insiders

Sign Up for our Newsletter

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

article thumbnail

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

article thumbnail

IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions

CIO Business Intelligence

As part of their partnership, IBM and Amazon Web Services (AWS) are pursuing a variety of industry-specific blueprints and solutions designed to help customers modernize apps for a hybrid IT environment, which includes AWS Cloud. Yet one way to simplify transformation and accelerate the process is using an industry-specific approach.

Insurance 115
article thumbnail

How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. One of the most lucrative ways to do this is through data warehousing.

article thumbnail

Data governance in the age of generative AI

AWS Big Data

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

article thumbnail

Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.