Insights in the Cloud: Guiding Your Cloud Analytics and BI Strategy

Discover how developers can implement machine learning solutions, where to apply to machine learning solutions, and which machine learning algorithm is right for your use case.

Learn how to govern and operationalise machine learning research, how machine learning can be incorporated into your SDLC, and what kinds of benefits machine learning adopters are witnessing.

In this Craft Beer and Data™️ session our Director of Developer Evangelism, Nick Piette, and Mark Balkenende, Director of Technical Marketing visit New Heights Brewing Company in Nashville, TN to discuss Blockchain 101.

Le Cloud apporte aux entreprises l’agilité et l’optimisation nécessaire pour mener à bien leurs projets. D’autre part, une partie du système d’information reste on-premises menant vers des SI de plus en plus hybrides. La gestion de données dans ce contexte devient un vrai challenge.

Dans ce webinar à la demande, nous allons vous présenter comment Talend accompagne et accélère l’adoption du Cloud :

-présentation de Talend Cloud ;
-démonstration du studio unifié Talend ;
-Talend Cloud, une réponse unique pour vos workload ETL/ELT, intégration applicative et Big Data.

Face aux fuites de données toujours plus coûteuses et au nombre toujours croissant de lois sur la protection des informations, le partage et l’utilisation des données en entreprise devient un vrai casse-tête. Les techniques d’anonymisation et de masquage des données peuvent aider les organisations à traiter des données sensibles sans pour autant les rendre visible aux personnes non autorisées.

Au cours de ce webinar à la demande, nous lèverons le voile sur les techniques de masquage des solutions Talend (anonymisation, pseudonymisation…) pour ainsi protéger vos données sensibles sans restreindre leur utilisation.

Au travers de cas pratiques, vous découvrirez comment :
- anonymiser simplement les données confidentielles au sein d'un flux dans Talend Studio ;
- masquer les informations identifiables avec des valeurs réalistes depuis Talend Data Preparation ;
- sécuriser la Business Intelligence et faciliter le partage de données sans exposer les données sensibles.

Pour maximiser les bénéficies du Cloud, de la data et du Machine Learning et les mettre au service de l’innovation pour les équipes digitales et vos clients, le Data Lake s’est imposé comme le modèle de référence.

Mais comment en accélérer sa mise en œuvre et sa portée sans pour autant en perdre le contrôle ni mettre en péril sa pérennité ?

Lors de ce webinar à la demande, vous découvrirez comment :

- accélérer l’exploitation et la publication de vos informations stratégiques grâce à une approche agile ;
- tirer profit de cas d’usage et d’architectures de référence ;
- gérer la confidentialité des données, leur qualité, leur gouvernance et RGPD.

A l'occasion du récent positionnement de Talend comme Leader dans le Magic Quadrant pour les outils de qualité de données, découvrez comment Talend propose, dans un contexte d'utilisation de Salesforce, une approche unique en matière de qualité et de gouvernance des données.

Nos solutions innovantes orientées métier, nous permettent de répondre aux besoins actuellement non satisfaits des grandes entreprises, et les aider à être plus orientées données.

Visionnez ce webinar à la demande pour découvrir comment :

- migrer simplement votre ancien ERP vers Salesforce tout en gardant le contrôle ;
- créer automatiquement vos Leads depuis l'Open Data ;
- détecter et corriger en temps réel des anomalies de saisie dans Salesforce ;
- détecter et corriger des doublons Salesforce.

SAP est aujourd'hui un ERP incontournable dans le paysage des systèmes d'information des sociétés françaises, quelles que soient leurs tailles.

Toutes les données créées dans ce progiciel doivent transiter vers d'autres applicatifs ou outils de BI pour garantir le bon processus de fonctionnement de l’entreprise ;



Dans cette vidéo vous découvrirez 4 différents mécanismes que Talend peut mettre en œuvre pour extraire de l'information de SAP :

- cas d'usage d'une BAPI sur un domaine spécifique ;

- lecture de table SAP avec l'usage de filtres et de jointures de tables.

Et grâce aux nouvelles fonctionnalités de la version 7 de Talend :

- la lecture de table SAP en mode ELT afin de travailler des tables de tailles plus importantes ;

- l'utilisation de Talend Data Extractor.

Whether you're just starting your cloud analytics journey, or you're a seasoned veteran, the question remains: Is your cloud analytics strategy delivering the insights you need? This panel of experts will help you discover the right way to harness your cloud data to give your big data team the resources they need to make informed business decisions. From preventing your cloud data lakes from becoming data swamps, to scaling your cloud environment to accommodate all your data sources, learn how to activate your cloud BI strategy and achieve powerful analytics results.

About the Presenters:
Brajesh Goyal is an industry veteran in the hybrid cloud space, bringing to Cavirin more than 20 years of high tech engineering experience. He was the founder & CEO for ITAPP, a disruptive cloud management company that was purchased by ServiceNow in 2016. At Oracle, he defined the term “enterprise grid computing” (former name for cloud) and wrote books on the topic. He continued to lead initiatives for enterprise grid computing, virtualization, and cloud at NetApp. BG holds a Master's degree, in Computer Science (CS) and Engineering from University of Minnesota, and a Bachelor of Technology Degree in CS from the Indian Institute of Technology.

Isabelle Nuage is Director of Product Marketing at Talend.
Her field of expertise include Data Integration, Big Data and Analytics.
Isabelle brings more than 20 years of experience in the software industry holding various leadership positions in product marketing at SAP & Business Objects. She holds a post graduate degree in computer science applied to GIS from the Pierre & Marie University in Paris, France.

Data plays an important part in nearly every business operation; for it to be valuable, it must be moved and prepared for use, which means you need ETL processes.

Learn how to use masking, shuffling, and encryption to meet the latest data privacy regulations and prevent unauthorized access to sensitive data.

Join data integration expert Darren Brunt for a unique perspective on the benefits and implementation of machine learning.

Explore what machine learning is, and why it's important, how machine learning is different from traditional programming, and what it takes to enable machines to learn.

Process Big Data with Spark on Microsoft Azure HDInsight

Machine learning helps pinpoint errors in large datasets for cleansing before entering the analytics pipeline. This on-demand webinar shows you how to set it up.

Big data brings tremendous opportunity to better target customers and improve operations. Yet, data-driven insights are only as good and trusted as the data going into them.

Find out how you can build data quality into your structured, semi-structured, or unstructured data on Microsoft Azure Data Lake Store and HDInsight using Talend’s native support for Spark machine learning algorithms.

Watch Microsoft and Talend to see how to:

- Process data faster using Talend’s native support for Spark On Azure HDInsight
- Quickly import bulk data into Azure Data Lake Store
- Deploy Spark machine learning to match and dedupe records at scale
Enable best practices for data quality using Talend Data Stewardship

In the last few years, Machine Learning has quickly gone from a niche subject to one with significant relevance to many companies and organizations. Across industries ranging from pharmaceuticals and healthcare, to retail and financial services, Machine Learning has become more widely used for solving new business requirements. But just what is Machine Learning and how does it work? Just how do you teach a machine to learn?

Watch the Webinar on Demand and get an overview of the following methods:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning

This session is an Intermediate level talk. It is geared towards Architects, Data Scientists, Developers, Software Engineers and anyone with an interest in Data Matching.

With ever increasing volumes and varieties of data forming the basis of our analysis universe, Machine Learning promises to help automate and condense cycle time to actionable insight. But how can you overcome the stubborn complexities of adoption associated with this subset of Data Science?

In this on-demand webinar see how Talend helps its data-driven customers embrace and exploit Machine Learning capabilities faster and more efficiently than traditional, coding-based approaches.

In this on-demand webinar you will learn about:

- The challenges of generating insight from data
- Principles of machine learning
- How to train, test and operationalise Machine Learning solutions using Talend
- How other Talend customers are exploiting Big Data solutions

In this on-demand webinar, Google and Talend experts demonstrate how to implement machine learning algorithms into analytics pipelines, and extract sentiment analysis to achieve a new level of insight and opportunity.

A strong data governance program ensures that you have the policies, standards, and controls in place to protect data effectively and access it for decision making. Data governance may become one of the most important functions of your data integration architecture when it comes to data agility.

Talend and MapR break down the steps for turning a data lake into a data hub with appropriate data management and governance activities: from capturing and reconciling personal data to providing for consent management, data anomyzation, and the rights of the data subject.

GDPR has major implications for the IT landscape of every business. Companies are shifting away from data silos and closing down shadow IT to create a governed personal data hub and data services.

In this webinar we demonstrate how to achieve the 5 pillars of data management for GDPR compliance with a practical example: matching 3rd party consent data to existing records with appropriate data governance.

See how easily you can put the pieces together:

Data capture and integration into a data lake
Data cleansing, loading and matching
Self-service curation and certification
Data classification and lineage using metadata manager