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What is Unstructured?

Around 80% of corporate information is kept in complex formats like HTML, PDF, CSV, PNG, and PPTX, among others. Unstructured offers a solution to streamline the extraction and transformation of this intricate data, ensuring compatibility with all major vector databases and LLM frameworks. This platform allows data scientists to preprocess large volumes of data efficiently, freeing them to focus more on modeling and analysis rather than on the tedious tasks of data gathering and cleaning. Our enterprise-grade connectors facilitate the collection of data from diverse sources and convert it into AI-friendly JSON files, simplifying the integration of AI technologies within organizations. Trust Unstructured to deliver meticulously cleaned data, devoid of any artifacts, and importantly, optimized for LLMs. By doing so, we enable businesses to fully leverage their data for groundbreaking applications. Consequently, organizations can innovate more rapidly and effectively by utilizing the insights derived from their high-quality data.

What is Microsoft Power Query?

Power Query offers an intuitive approach for connecting to, extracting, transforming, and loading data from various origins. Functioning as a powerful engine for data manipulation, it boasts a graphical interface that makes the data retrieval process straightforward, alongside a Power Query Editor for applying any necessary modifications. Its adaptability allows for integration across a wide array of products and services, with the data storage location being dictated by the particular application of Power Query. This tool streamlines the extract, transform, and load (ETL) processes, catering to users' diverse data requirements. With Microsoft's Data Connectivity and Data Preparation technology, accessing and managing data from hundreds of sources is made simple in a user-friendly, no-code framework. Power Query supports a wide range of data sources through built-in connectors, generic interfaces such as REST APIs, ODBC, OLE, DB, and OData, and it even provides a Power Query SDK for developing custom connectors to meet specific needs. This level of flexibility enhances Power Query's value, making it an essential resource for data professionals aiming to optimize their workflows and improve efficiency. As such, it empowers users to focus on deriving insights from their data rather than getting bogged down by the complexities of data handling.

Media

Media

Integrations Supported

Databricks
GitHub
Adobe Acrobat
Adobe Analytics
Adobe Marketo Engage
Apache Hive
Azure Blob Storage
Azure Cosmos DB
Facebook
Kyligence
MariaDB
Microsoft Exchange
Microsoft SharePoint
Palantir Foundry
Pinecone Rerank v0
Planview ProjectPlace
QuickBooks Online
TIBCO Data Virtualization
TeamDesk
Vena

Integrations Supported

Databricks
GitHub
Adobe Acrobat
Adobe Analytics
Adobe Marketo Engage
Apache Hive
Azure Blob Storage
Azure Cosmos DB
Facebook
Kyligence
MariaDB
Microsoft Exchange
Microsoft SharePoint
Palantir Foundry
Pinecone Rerank v0
Planview ProjectPlace
QuickBooks Online
TIBCO Data Virtualization
TeamDesk
Vena

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Unstructured

Company Website

unstructured.io

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

powerquery.microsoft.com/en-us/

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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