Name: About the speed of distributed computation systems: the case of Spark vs TIMi
Uploaded: 2022-03-29T15:37:52.000Z
Duration: 1 h 13 min 48 s
Description: About the speed of distributed computation systems: the case of Spark vs TIMi

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### Predictive Analytics
Users widely praise TIMi for its robust predictive analytics capabilities. Reviewers consistently highlight the speed and user-friendliness of TIMi's predictive modeling, emphasizing the ease with which models can be generated and the efficiency in automating complex data processes. The tool's ability to quickly create interpretable models with excellent predictive power is a standout feature according to users. Additionally, the integration with R and Python, coupled with prompt technical support from TIMi's team, further enhances the predictive analytics experience for users.

### Model Building and Machine Learning
Users generally praise TIMi's model building and machine learning capabilities. The consensus among reviewers is that TIMi's model building functionality is robust and efficient, allowing for the creation of complex predictive models with ease. Users appreciate the speed and accuracy of the machine learning algorithms within TIMi, highlighting its ability to handle large datasets and generate reliable predictions. While some users mention a slight learning curve when initially using the tool, they acknowledge that the intuitive interface and prompt technical support make the process smoother. In summary, TIMi's model building and machine learning features are well-regarded by users for their effectiveness and user-friendly nature.

### Fraud Detection and Security
Users consistently praise TIMi for its efficiency in fraud detection and security features. The sentiment surrounding TIMi's fraud detection and security capabilities is predominantly positive, with users highlighting the tool's ability to swiftly analyze various file formats and detect outliers effectively. The platform's strong performance in detecting fraudulent activities within a short timeframe has garnered appreciation from users, emphasizing the high quality of insights delivered to business partners. TIMi's fraud detection and security functionalities are perceived as a valuable asset in enhancing project dynamics and team efficiency.

### Data Transformation and ETL
Users consistently praise TIMi for its intuitive and powerful data transformation and ETL capabilities. They appreciate the speed at which millions of records can be processed, the flexibility to create custom transformation blocks, and the comprehensive support documentation provided. Additionally, users find TIMi to be stable, mature, and well-suited for handling heterogeneous master data sources in multiple formats. The tool's ability to accommodate various business use cases efficiently and effectively has garnered positive feedback from users across different industries.

### Data Processing and Automation
Users widely praise TIMi's exceptional data processing and automation capabilities. They appreciate the intuitive design that eliminates the need for coding, making processes less error-prone and easier to debug. The tool's ability to handle large volumes of data efficiently on standard laptops is a standout feature. Additionally, users value the tool's real-world application focus, user-friendly interface, and the prompt and helpful customer support provided. TIMi's data processing and automation functionalities are seen as a significant asset for streamlining operations and enhancing productivity within organizations.

### Data Preparation and Cleaning
Users consistently praise TIMi for its exceptional data preparation and cleaning capabilities, highlighting the speed and efficiency in solving data engineering and preparation challenges. The tool's ability to handle large volumes of data quickly and automate complex tasks like data cleaning and computation of KPIs without the need for extensive coding has garnered positive feedback. Additionally, users have reported significant time savings and improved efficiency in tasks such as automating tax return preparation and fraud detection projects. The high quality of insights delivered to business partners and the fast project delivery attributed to TIMi's data preparation and cleaning functionalities have been key factors in driving project success and team dynamics.

### Python Integration and Programming
Users are consistently praising TIMi for its robust python integration and programming capabilities. The tool's ability to seamlessly integrate with Python and provide a user-friendly environment for programming tasks has garnered positive feedback from users across different industries. Many users appreciate the speed and efficiency with which TIMi allows them to work with Python, enabling them to process large volumes of data and create complex data pipelines with ease. Additionally, the support for Python connectors and the responsiveness of the TIMi team in addressing specific requests have been highlighted as valuable aspects of the platform's programming functionality.

### Statistical Analysis and Algorithms
Users unanimously praise TIMi for its robust statistical analysis and advanced algorithms capabilities. They appreciate the intuitive design of Anatella, which allows for efficient data flow without the need for extensive coding. The platform's speed and power in processing large datasets on standard laptops have been highlighted as a significant advantage. Additionally, users find TIMi's statistical analysis and algorithms to be well-suited for real-world applications, providing a clear and effective solution for data science practitioners. The tool's ability to reduce time-to-market for complex analyses and predictive model building has been a key factor in its positive reception among users.

### Visualization and Reporting
Users consistently highlight TIMi's visualization and reporting features as user-friendly and efficient. The visual design of TIMi's tools simplifies the data flow process, reducing errors and enhancing debugging capabilities. While some users mention occasional inefficiencies and crashes during busy periods, the overall sentiment leans towards positive experiences with TIMi's visualization and reporting functionalities. The availability of extensive documentation and regular updates to address user needs contribute to the overall satisfaction with TIMi in this aspect.

### Big Data Management
User consensus seems to be that TIMi's big data management capabilities are highly praised. Reviewers highlight the speed and efficiency with which TIMi handles large volumes of data, making it stand out among other tools in the market. The ease of use, robustness, and flexibility of TIMi's big data management features have garnered positive feedback from users across various industries. Additionally, the comprehensive support provided by the TIMi team has been instrumental in addressing data engineering and preparation challenges effectively.

### Performance and Speed Optimization
Users consistently highlight TIMi's remarkable speed and efficiency in processing large volumes of data, emphasizing its ability to handle complex tasks swiftly. The platform's performance in optimizing speed for data transformation and processing receives high praise, with users commending its rapid execution and minimal resource requirements. TIMi's speed optimization capabilities are lauded for streamlining data operations and enabling quick insights generation, contributing to enhanced productivity and operational efficiency.

### Data Engineering and Debugging
Users consistently praise TIMi for its robust data engineering and debugging capabilities. They appreciate the intuitive and visual design that eliminates the need for coding, making the process less error-prone and easier to debug. While some users suggest room for improvement in the debugging process, overall, TIMi's data engineering and debugging functionalities are regarded as strong points by its users. The platform's speed, efficiency, and integration with other languages like R and Python are highlighted as key advantages in handling large volumes of data effectively.

Here are the recommendations that users commonly make for using Timi-Anatella:

1. Request trainings regularly to stay up to date with the latest features and save time on data processing.
2. Make sure to have a good understanding of analysis theory and objectives before using Timi-Anatella to effectively leverage its capabilities.
3. Try a trial license to experience firsthand Timi-Anatella's user-friendly interface, compatibility with different software, and ability to handle any type of analysis without programming expertise.

These recommendations can help ensure a successful implementation and utilization of Timi-Anatella for efficient data processing.

TIMi has proven to be a valuable tool for businesses, assisting users in solving a variety of complex business problems. The product has been highly praised for its ability to automate ETL processes, reducing the time required to deliver data and reliable predictive models. Users have appreciated the wide range of connectivity options available, allowing them to gather data from different database sources and perform complex transformations.

Another key use case of TIMi is in tax preparation. Companies have reported using the platform to automate the preparation of periodical tax returns, saving thousands of hours each year. Furthermore, TIMi allows users to manage and transform all company system information, ensuring the veracity and integrity of information used by different NCO areas.

TIMi's data modeling capabilities are another feature that users appreciate. With TIMi, data modeling is much simpler than other platforms on the market. The product also encrypts information and models to protect customer privacy. Users have reported that this level of security has increased their confidence and trust in the platform.

Ultimately, TIMi's real value comes in its ability to speed up analysis and provide an economic solution for large datasets. The software is being used in various industries such as energy fraud detection models, telemetry processing, machine learning applications in Customer Values Management, Marketing, Sales, and Distribution, clustering analytics, predictive analytics, decision trees generation projects processing large amounts of network data and building training datasets. These features have made TIMi a popular choice among businesses looking to streamline their operations and improve efficiency.

Easy to use: Users appreciate the software's user-friendly interface and its ability to cater to both novice and expert users. Many reviewers have stated that using the software is easy, even for those without coding knowledge.

Fast processing: The software is praised by reviewers for its fast processing of large datasets and the speed at which it can run with big data. Some users have mentioned that this advantage over other tools has saved them significant amounts of time.

Versatile tool: Reviewers have commented positively on how versatile the software is due to its ability to integrate with programming languages, handle high volumes of data, and provide a wide range of nodes. This versatility makes it an essential tool in strategic planning and decision-making within companies.

Confusing Interface: Some users have found the user interface of TIMi confusing and not very user-friendly, especially at the beginning. This can make it difficult for new users to navigate and utilize the software efficiently.

High Price: The price of TIMi has been noted as high by some reviewers, which may not be affordable for startups or smaller businesses. This could limit the accessibility of TIMi to certain customers who are unable or unwilling to pay such a high cost.

Limited Operating System Compatibility: There is no possibility to use TIMi on a Mac, which is a limitation for users who prefer that operating system. This lack of compatibility could impact potential customers who rely solely on Macs in their work environment.

TIMi, headdquartered in Brussels, offers their eponymous framework to push the barriers of analytics, predictive analytics and Big Data, while offering an environment to develop new ideas and make business decisions.

Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization.  Its Data Science Workspace is a collaborative environment for practitioners to run all analytic processes in one place, and manage ML models across the full lifecycle. The Machine Learning Runtime (MLR) provides data scientists and ML practitioners with scalable clusters that include popular frameworks, built-in AutoML and optimizations.

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RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer.  RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.

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TIMi

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Timi and Leslie Diaper Bags
The perfect collection for the fashion savvy mommy!

The Timi and Leslie Dawn Diaper Bag

With Timi and Leslie's already fashion savvy line of gorgeous diaper bags, you'd think the collection couldn't get any better. Well Timi and Leslie isn't finished yet! Introducing the NEW 2011 Timi and Leslie Dawn Diaper Bag!
How about some sass? How about some class?! How about a diaper bag that looks nothing like a diaper bags but gets you from A-Z on a daily basis while turning heads and keeping that beautiful smile on mommy's face!? A diaper bag SHOULD be gorgeous! Because you and your baby are gorgeous too! With beautiful fabrics and materials all the while being diaper bag functional and having the comfort of those super expensive bags in one that's that much less expensive and sure to last you well beyond baby years. Grab ANY of the Timi and Leslie diaper bags and make baby days, fun days!
The Dawn tote is made from faux leather (PVC free), and features our custom hardware in a gold finish.
Bag Measures: 16"H x 13"W x 6.5"D x 9"HD
Who says you can't look stylish once you become a mama? Or how about long after as well with a super functional bag that will last you till after baby is all grown up?
The Timi and Leslie Diaper Bags collection keeps moms feeling beautiful and fashionable without sacrificing function. Each bag has all the necessities of a diaper bag, but can also be used as a handbag or a work bag or anything bag so moms will carry these bags long after the diaper stage! Most of the Timi and Leslie Diaper bags can fit a laptop sleeve as well! How awesome is that!?!? Timi & Leslie has been designing fashionable diaper bags for quite some time now. Always coming out with stunning and functional diaper bags that make heads turn!

Top celebrity moms like Courtney Cox, Christina Aguilera, Angelina Jolie, Tori Spelling, Nicole Kidman and Britney Spears carry Timi and Leslie Bags. Funny man father Jack Black has the men's version of the Timi and Leslie.

Get the elegant, designer look you want with the functionality you need.

Timi and Leslie Dawn Diaper Bag On the Body and Stroller Strap Demo

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About the speed of distributed computation systems: the case of Spark vs TIMi

The presentation used in the video:
http://download.timi.eu/docs/TIMi_vs_Spark.pdf

A quick one-page executive summary about the video:
http://download.timi.eu/docs/Spark_vs_TIMi_Executive_Summary.pdf

A white paper that summarizes the findings explained in the video:
http://download.timi.eu/docs/Spark_vs_TIMi_technical_white_paper.pdf

Download TIMi Community Edition for free here:
https://timi.eu/downloads/

The matching entry in our blog:
https://timi.eu/blog/cloud/

To see the video from Mister Frédéric Pierucci:
https://youtu.be/dejeVuL9-7c

Platform Connectivity

Ability to connect to a wide variety of data sources

Connect to Multiple Data Sources

Ability to connect to a wide variety of data sources including data lakes or data warehouses for data ingestion

Extend Existing Data Sources

Use R or Python to create custom connectors for any APIs or databases

Automatic Data Format Detection

Automatic detection of data formats and schemas

MDM Integration

Integration with MDM and metadata dictionaries

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Ability to explore data and develop insights

Visualization

The product’s support and tooling for analysis and visualization of data.

Interactive Data Analysis

Ability to analyze data interactively using Python or R Notebooks

Data Preparation

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Access to visual processors for data wrangling

Data Transformations

Use visual tools for standard transformations

Data Encryption

Built-in Processors

Library of processors for data quality checks

Platform Data Modeling

Multiple Model Development Languages and Tools

Access to multiple popular languages, tools, and packages such as R, Python, SAS, Jupyter, RStudio, etc.

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Single place to build, validate, deliver, and monitor many different models

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Tools for deploying models into production

Flexible Model Publishing Options

Publish models as REST APIs, hosted interactive web apps or as scheduled jobs for generating reports or running ETL tasks.

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Built-in controls to mitigate compliance and audit risk with user activity tracking

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TIMi

Overview

What is TIMi?