article thumbnail

Migrate a petabyte-scale data warehouse from Actian Vectorwise to 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. Data ingestion – Pentaho was used to ingest data sourced from multiple data publishers into the data store.

article thumbnail

Top 10 Benefits of AWS Redshift

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source – pexels.com Are you struggling to manage and analyze large amounts of data? Are you looking for a cost-effective and scalable solution for your data warehouse needs? Look no further than AWS Redshift.

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

Do the Benefits of Cloud Outweigh the Costs?

Jet Global

But the constant noise around the topic – from cost benefit analyses to sales pitches to technical overviews – has led to information overload. Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? How do I access the legacy data from my previous ERP?

article thumbnail

Cloudera Data Warehouse Demonstrates Best-in-Class Cloud-Native Price-Performance

Cloudera

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. With pay-as-you-go pricing, platforms that deliver high-performance benefit users not only through faster results but also through direct cost savings.

article thumbnail

Seven Common Challenges Fueling Data Warehouse Modernisation

Cloudera

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

article thumbnail

Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. times lower cost per user and up to 7.9

article thumbnail

Open Data Lakehouse powered by Iceberg for all your Data Warehouse needs

Cloudera

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. It allows us to independently upgrade the Virtual Warehouses and Database Catalogs.