Tale of Data leverages Artificial Intelligence

to enhance Business People efficiency

in Big Data Preparation and Analytics

Tale of Data Main Features

Connection to any Datasource

You can import data from any file

(CSV, Parquet, JSON, XML, Excel,...), from any relational or noSQL database.

Since Tale of Data leverages

Apache Spark Framework,

your data can be processed directly

in your HADOOP cluster.

Dozens of Point and Click Data Transformations

With Tale of Data, dozens of instant transformations are at your fingertips.

Solving Data Quality issues

and preparing your Data for analytics are a breeze.

 

You don't need to be

a software engineer or a Data Scientist

to do the job! 

Data Enrichment

Tale of Data provides advanced joins to add new columns

to any dataset:

Exact, Fuzzy, Phonetic, Full-Text...

Joining heterogeneous data

has never been so easy.

Multi-Criteria and Mutli-Strategy Data Depuplication

First, select the columns to be used

for row comparisons. We can select

as many columns as we want.


Then, for each selected column,

just specify the algorithm to be used

to compare cell values

(Phonetic, N-Gram, Fuzzy,...).

That's it!

Data Transformation Recommendation Engine

Just select relevant text fragments

in any cell and the recommandation engine will automatically make relevants suggestions, such as:

extract a word or a year from a date,

split the cells, ...and so on.

Let Tale of Data guide your Data Preparation Journey : what used

to take weeks will be done in minutes.

Instant Data Visualization using Drag'n'Drop

With Tale of Data, instant data visualization is a breeze.

You just need to choose a chart and to drag and drop the relevant dimensions and measures.

Bar charts, Pie & Donuts charts, Bubble charts, Geographic Maps are at your fingertips.

Machine Learning

The Tale of Data Processing Engine runs in HADOOP, by leveraging the Apache Spark Framework.

The engine uses Off-Heap Memory Management to eliminates the Garbage Collector pressure, boost performances and enhance scalability.

Can Run in HADOOP

The Tale of Data Processing Engine runs in HADOOP, by leveraging

Apache Spark Framework.

The engine uses Off-Heap Memory Management to eliminate

the Garbage Collector pressure, boost performances

and enhance scalability.

SaaS or on-Premises

Tale of Data can be used

as a Service (SaaS) :

which means lower IT costs

for hardware and painless upgrades.

On the other hand,

if the SaaS Mode is not an option,

Tale of Data can be deployed

to your own Information System:

as a standard Java Web Application,

it runs in any JEE Application Server, including Apache Tomcat.

Data Quality-Centric Big Data Forensic Analytics

6 rue Jadin
75017 Paris, France

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© Tale of Data 2018 - 2019