Real-time Big Data Platform

Utilizzo di dati di analisi in streaming e in tempo reale per ottenere informazioni fruibili più rapidamente che mai.

Sfrutta i flussi di dati in tempo reale

Sfrutta tutto il potenziale dei dati di analisi in streaming e in tempo reale grazie all’efficacia dello streaming Spark senza server e dell’apprendimento automatico. L’integrazione Talend Real-time Big Data genera codice nativo eseguibile in ambiente cloud, ibrido e multi-cloud, per iniziare subito a lavorare con Spark Streaming e trasformare tutte le tue pipeline di dati in batch in informazioni fruibili e affidabili, in tempo reale.

Integrate data sources and run on the leading data platforms

Real-time Big Data Platform Funzionalità

API Development

  • Visual API Designer
  • Support for OAS / Swagger(tm) and RAML
  • Visual API Tester
  • Automatic API mocking
  • API testing automation
  • Hosted API documentation
  • API contract import into Talend Studio
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License and Support

  • Subscription license with warranty and indemnification
  • 2 free Data Preparation and 2 free Data Stewardship licenses with any Talend subscription
  • Available as cloud service and downloadable software
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Design and Productivity Tools

  • Generates native MapReduce and Spark batch code
  • Generates native Spark Streaming code
  • Visual mapping for complex JSON, XML, and EDI on Spark
  • Spark and MapReduce job designer
  • Serverless Spark processing through Databricks and Qubole
  • Dynamic distribution support
  • Hadoop job scheduler with YARN
  • Hadoop security for Kerberos
  • Ingestion, loading, and unloading data into a data lake
  • Graphical design environment
  • Team collaboration with shared repository
  • Continuous integration / Continuous delivery
  • Visual mapping for complex JSON, XML, and EDI
  • Audit, job compare, impact analysis, testing, debugging, and tuning
  • Metadata bridge for metadata import/export and centralized metadata management
  • Distant run and parallelization
  • Dynamic schema, re-usable joblets, and reference projects
  • Repository manager
  • ETL and ELT support
  • Wizards and interactive data viewer
  • Versioning
  • Change data capture (CDC)
  • Automatic documentation
  • Cloud Pipeline Designer
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Data Quality and Governance

  • Data profiling and analytics with graphical charts and drill-down data
  • Automated data standardization, cleansing, and rules enforcement
  • Data privacy with masking and encryption
  • Data quality portal with monitoring, reporting, and dashboards
  • ]Semantic discovery with automatic detection of patterns
  • Comprehensive survivorship
  • Data samplingEnrichment, harmonization, fuzzy matching, and de-duplication
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Connectors

  • Cloud: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and more
  • Supported big data distributions: Amazon EMR, Azure HDInsight, Cloudera, Google Dataproc, Hortonworks, MapR
  • Serverless: Cloudera Altus, Databricks, Qubole
  • Spark MLlib (classification, clustering, recommendation, regression)
  • NoSQL: Cassandra, Couchbase, DynamoDB, MongoDB, Neo4j, and more
  • RDBMS: Oracle, Teradata, Microsoft SQL server, and more
  • SaaS: Marketo, Salesforce, NetSuite, and more
  • Packaged Apps: SAP, Microsoft Dynamics, Sugar CRM, and more
  • Technologies: Dropbox, Box, SMTP, FTP/SFTP, LDAP, and more
  • Optional 3rd-party address validation services
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Components

  • Hadoop components: HDFS, Hbase, Hive, Pig, Sqoop
  • File management: open, move, compress, decompress without scripting
  • Control and orchestrate data flows and data integrations with master jobs
  • Map, aggregate, sort, enrich, and merge data
  • Standard support: REST, SOAP, OpenID Connect, OAuth, SAML, STS, WSDL, SWAGGER, and more
  • Transports/protocols support: HTTP, JMS, MQTT, AMQP, UDP, Apache Kafka, WebSphere MQ, and more
  • Enterprise Integration Patterns for service mediation, routing, and messaging
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Data Preparation and Stewardship

  • 2 free licenses with subscription
  • Import, export, and combine data from any database, Excel or CSV file
  • Import, export and combine CSV, Parquet and AVRO files**
  • Export to Tableau
  • Self-service on-demand access to sanctioned datasets
  • Share data preparations and datasets
  • Operationalize preparations into any data or big data integration flow
  • Operationalize preparations into any cloud integration flow
  • Run preparations on Apache Beam*
  • Auto-discovery, standardization, auto-profiling, smart suggestions, and data visualization
  • Customization of semantic type for auto-profiling and standardization
  • Smart and selective sampling and full-runs
  • Data tracking and masking with role-based security
  • Cleansing and enrichment functions
  • Data Stewardship App for data curation and certification
  • Define data models, data semantics and profile data accordingly. Define and apply rules
  • Merge and match data, resolve data errors, and arbitrate on data (classification and certification)
  • Orchestrate and collaborate on activities in campaigns
  • Define user roles, workflows and priorities, assign and delegate tasks, tag and comment
  • Embed governance and stewardship in data integration flows and manage rejects
  • Embed human certification and error resolution into MDM processes
  • Take matching decisions that cannot be processed automatically
  • De-duplicate data at scale with machine learning
  • Audit and track data error resolution actions. Monitor progress of campaigns. Undo/redo based on business needs
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Management and Monitoring

  • High availability, load balancing, failover for jobs
  • Deployment manager and team collaboration
  • Manage users, groups, roles, projects, and licenses
  • Manage execution engines
  • Single Sign-On (SSO) integration with several SSO providers
  • Execution plan, time, and event-based scheduler for jobs
  • Check points, error recovery
  • Context management (dev, QA, prod)
  • Log collection and display
  • Optional Admin user add-on*
  • Engine clusters for jobs*
  • Static IP addresses*
  • Job execution log history (2 months for Entry products, 3 months for Platforms)*
  • Environments (2 for Entry products, unlimited for Platforms)*
  • Cloud Security Information and Event Management (SIEM), Intrusion Detection System (IDS), Intrusion Prevention System (IPS) and Web Application Firewall (WAF)
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Big Data Quality

  • Data cleansing, profiling, masking, parsing, and matching on Spark and Hadoop
  • Machine learning for data matching and deduplication
  • Support for Cloudera Navigator and Apache Atlas
  • HDFS file profiling
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Services Management

  • System monitoring: JMX / Jolokia
  • Runtime engine (Talend Runtime on-premises, Remote Engine cloud)
  • Containerized service generation
  • Access into live statistics of message flow activity
  • Integrated artifact repository
  • Interface to deploy data services and routes
  • Identity management and authorization**
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Agile Application Integration

  • Drag-and-drop route, data, and web/REST services creation and simulation
  • WS policy-based web services security
  • Deliver and route messages and events based on Enterprise Integration Patterns (EIPs)
  • Reliable messaging backbone based on ActiveMQ
  • Service locator and registry**
  • Command line and scripting tools
  • XML key management specification (XKMS)**
  • Build and deploy as an OSGI feature
  • Deploy and manage a microservice
  • Build a microservice
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Advanced Data Profiling

  • Fraud pattern detection using Benford Law
  • Advanced statistics with indicator thresholds
  • Column set analysis
  • Advanced matching analysis
  • Time column correlation analysis
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Controlla i costi dei tuoi progetti di integrazione dei dati

Talend keeps it flexible

Flessibile

Mantieni i costi prevedibili e le risorse flessibili con abbonamenti annuali o mensili.

Talend keeps it predictable

Prevedibile

addebito per utente, anziché per volumi di dati o connettori

Talend keeps it simple

Semplice

costi totali di proprietà ridotti del 50% con un’unica soluzione in esecuzione nel cloud

The digital context creates an increasing demand for product customization. To meet these challenges and innovate, we have deployed new tailor-made digital platforms for L’Oréal researchers, with Talend at the heart, to facilitate the management of more than 50 million pieces of data per day

Philippe Benivay, IS Experimental Data Intelligence - L'Oréal R&I IT Team

In our business, if we didn’t have access to high-quality information with low latency, we simply couldn’t operate. Talend helps us achieve that.

Steven Cochrane, Director of Data, Paddy Power Betfair

With Talend, capturing data at high speed from hundreds of data sources, we had fifty business projects in production for our financial, logistics, SCM, CRM business units in less than six months

Axel Frank, Solution Architect BI Platform

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