FrenchTech SAAS

Jay Kreps, CEO of Confluent and co-creator of Apache Kafka, shows you how logs work in distributed systems, and provide practical applications of these concepts in a variety of common use cases.

Download the free ebook and:

Learn how logs are used for programmatic access in databases and distributed systems
Understand why logs are at the heart of real-time stream processing
Learn how logs and stream-processing can form a backbone for data flow and real-time data processing
Discover solutions to the data integration problem when more diverse data needs to be accessed by more specialized systems

HBase Tutorial - Learn HBase quickly with this beginner's introduction to the Hadoop database: a distributed, scalable Big Data store for managing very large tables.

Provides an overview of the BIRT 3.7 components, focusing on a few key capabilities of the BIRT Designer, BIRT Runtime APIs, and BIRT Web Viewer.

Covers the tools used in practical Data Mining for finding and describing structural patterns in data using Python.

Data is one of the single most important resources for an organization. It can be used to help your business run smoothly, implement new strategies, and more. This Refcard will show you the key places data derives from, characteristics of high-quality data, and the five phases of a data quality strategy that you can follow.

Thanks to text mining, you can extract information from written text. This is something we do, naturally, every day, in conversations or when we read. Like driving a car, once we learn how to do it, we take it for granted. This Refcard will introduce text mining, as well as key methods and techniques for success.

JupyterCon brings together data scientists, business analysts, researchers, educators, developers, core Project contributors, and tool creators for in-depth training, insightful keynotes, and practical talks exploring the Project Jupyter platform.

L’une des conclusions du rapport ne devrait surprendre personne : Python reste en tête des langages utilisés dans le domaine de la science des données. Le langage R arrive en seconde position, tandis que JavaScript, Java, C/C++ et C# sont loin derrière. Le langage Julia, dont la popularité s’affirme pourtant dans le monde de la science des données, n’arrive pas encore à se positionner dans la course. Mais on ne sait pas si c'est parce qu’il n'a pas été suffisamment cité par les personnes interrogées ou s’il n’a pas été mentionné par l'enquête

Provides an overview of the MySQL database partitioning techniques and how these techniques lead to operational excellence.

Covers machine learning for predictive analytics, explains setting up training and testing data, and offers machine learning model snippets.

Stream processing is incredibly useful for processing big data volumes and providing useful insights in real-time. This is especially important when the value of the information in the data decreases as it gets older. This Refcard covers the building blocks of a stream processing solution, use cases that benefit from stream processing, and hands-on examples using Hazelcast Jet.

As a total architecture, data warehousing provides decision-support data that is consistent, integrated, standard, and simply understood. From descriptions to diagrams and integration patterns, this newly updated Refcard walks you through each aspect of data warehousing. Gain a complete understanding of data modeling, infrastructure, relationships, attributes, and speedy history loading and recording with atomic data.

Deep learning vs machine learning : deux méthodes pour équiper un ordinateur d’une intelligence artificielle. Apprenez-en plus sur leurs différences et leurs champs d’application.

Detecting Logic Bugs in DBMS. Contribute to sqlancer/sqlancer development by creating an account on GitHub.