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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Cloud Datalab is a user-friendly interactive platform designed for data exploration, analysis, visualization, and machine learning. This robust tool, developed for the Google Cloud Platform, allows users to delve into, transform, and visualize data while building machine learning models efficiently. Operating on Compute Engine, it smoothly integrates with various cloud services, enabling you to concentrate on your data science projects without distractions. Built using Jupyter (previously known as IPython), Cloud Datalab benefits from a vibrant ecosystem of modules and a comprehensive knowledge base. It supports the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, utilizing Python, SQL, and JavaScript for BigQuery user-defined functions. Whether your datasets are in the megabytes or terabytes range, Cloud Datalab is equipped to handle your needs effectively. You can effortlessly query massive datasets in BigQuery, perform local analysis on sampled subsets of data, and conduct training jobs on extensive datasets within AI Platform without any interruptions. This versatility makes Cloud Datalab a valuable asset for data scientists aiming to streamline their workflows and enhance productivity.

Description

Leverage the internet as a source of information to gain an advantage over your rivals. Join the ranks of businesses that have started to surpass their competition by exploring “alternative” data found online. Monitor company activities in unprecedented ways, as alternative datasets unveil strategic shifts within organizations. Keep an eye on when companies are hiring or laying off staff, engaging with clients, distributing products, and tracking countless other metrics that indicate overall performance. Those managing investments can make more informed choices with Thinknum Alternative Data at their disposal. Investors and analysts can extract actionable insights by closely monitoring corporate performance trends. With user-friendly software, deriving insights becomes a swift process, allowing for rapid queries without the need for technical expertise. You can now construct and share queries effortlessly using intuitive tools designed for ease of use. Analyze data visually for immediate comprehension through access to pre-built maps, charts, word clouds, and sophisticated visual representations. Additionally, set up alerts to stay informed on key changes and developments. This way, you can remain proactive in your strategies and decisions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

BattleFin Ensemble
DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

Integrations

BattleFin Ensemble
DataLab
Google Cloud Platform
Google Workspace
Jupyter Notebook

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$16800 per user, per year
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

Google

Founded

1998

Country

United States

Website

cloud.google.com/datalab

Vendor Details

Company Name

Thinknum Alternative Data

Founded

2014

Country

United States

Website

www.thinknum.com

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

Alternatives

Alternatives

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