Remove Cost-Benefit Remove Data Lake Remove Machine Learning Remove Optimization
article thumbnail

Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 105
article thumbnail

Enable business users to analyze large datasets in your data lake with Amazon QuickSight

AWS Big Data

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

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

Secure cloud fabric: Enhancing data management and AI development for the federal government

CIO Business Intelligence

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. While cloud technology has many benefits, it also poses security risks, especially when it comes to protecting sensitive information. Support for future AI development Secretary of State Antony J.

Data Lake 110
article thumbnail

Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. The rise of cloud object storage has driven the cost of data storage down.

article thumbnail

Data replication holds the key to hybrid cloud effectiveness

CIO Business Intelligence

As more businesses look to carve out an advantage in an increasingly competitive market, many are turning toward cloud computing—particularly hybrid cloud approaches that blend the power of the mainframe with the innovation of the cloud—to make the most of their data. It’s what they use to set goals, make decisions, and plan for the future.

article thumbnail

Build a transactional data lake using Apache Iceberg, AWS Glue, and cross-account data shares using AWS Lake Formation and Amazon Athena

AWS Big Data

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

article thumbnail

Data-Centric Firms Address Athena Shortcomings with Smart Indexing

Smart Data Collective

There are a lot of benefits of data scalability. The size and the variety of data that enterprises have to deal with have become more complex and larger. Traditional relational databases provide certain benefits, but they are not suitable to handle big and various data. Limits of Athena. Shared resources.