Remove 2023 Remove Business Intelligence Remove Data Integration Remove Data Lake
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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights.

Data Lake 105
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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. With these insights, teams have the visibility to make data integration pipelines more efficient.

Metrics 108
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5 financial planning software capabilities that drive business value

Jedox

To that end, finance leaders can prioritize solutions that facilitate faster data integrations through prebuilt connectors and offer an intuitive user experience to drive adoption. Data integration. Efficient implementation is a key differentiator for enterprises looking to achieve quick time to value.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Preparing the foundations for Generative AI

CIO Business Intelligence

Data also needs to be sorted, annotated and labelled in order to meet the requirements of generative AI. No wonder CIO’s 2023 AI Priorities study found that data integration was the number one concern for IT leaders around generative AI integration, above security and privacy and the user experience.

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Your guide to AWS Analytics at AWS re:Invent 2023

AWS Big Data

2023 AWS Analytics Superheroes We are excited to introduce the 2023 AWS Analytics Superheroes at this year’s re:Invent conference! A shapeshifting guardian and protector of data like Data Lynx? 11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture.

Analytics 113
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Connect your data for faster decisions with AWS

AWS Big Data

In this post, we discuss how we’re delivering on these investments with a number of data integration innovations that span AWS databases, analytics, business intelligence (BI), and ML services. Visit Data integration with AWS to learn more.