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Description
Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.
Description
The Apache PDFBox® library serves as a versatile open-source tool in Java for managing PDF documents. This project facilitates the creation of new PDFs, as well as the modification of existing ones and the extraction of content from those documents. Additionally, Apache PDFBox features a variety of command-line utilities that enhance its functionality. Released under the Apache License v2.0, this library allows users to extract Unicode text from PDFs, split a single PDF into multiple files, or combine several PDFs into one. It also enables the extraction of data from forms or the filling of PDF forms, along with validating PDF files according to the PDF/A-1b standard. Users can print PDFs via the standard Java printing API, create new PDFs from scratch that include embedded fonts and images, and save PDFs as image files like PNG or JPEG. Furthermore, the library offers the capability to digitally sign PDF documents, enhancing their authenticity and security. It's important to note that users should review the export control information concerning the encryption features provided by Apache PDFBox for compliance with regulations.
API Access
Has API
API Access
Has API
Integrations
AWS App Mesh
AWS Lake Formation
Amazon SageMaker Data Wrangler
Apache HBase
Apache Phoenix
CopperEgg
Data Virtuality
EC2 Spot
MetricFire
Okera
Integrations
AWS App Mesh
AWS Lake Formation
Amazon SageMaker Data Wrangler
Apache HBase
Apache Phoenix
CopperEgg
Data Virtuality
EC2 Spot
MetricFire
Okera
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/emr/
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
pdfbox.apache.org
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Product Features
Annotations
Convert to PDF
Digital Signature
Encryption
Merge / Append
PDF Reader
Watermarking
