Big Data Entry-Level

Simplify complex integrations and turn more data into valuable business assets.

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Turn big data into business assets

Talend Big Data Entry-Level Edition simplifies complex integrations to take advantage of Spark, Hadoop, NoSQL, and cloud, so your enterprise can turn more data into valued assets. Leverage the full power and scale of your big data framework with the leading data integration platform built on Spark for cloud and on-premises.

Big Data Entry-Level Features

License and Support

  • Subscription license with warranty and indemnification
  • Available as cloud service and downloadable software

Design and Productivity Tools

  • Generates native MapReduce and Spark batch code
  • Spark and MapReduce job designer
  • Dynamic distribution support
  • Hadoop job scheduler with YARN
  • Hadoop security for Kerberos
  • Ingestion, loading, and unloading data into a data lake
  • Eclipse-based developer tooling and job designer
  • Team collaboration with shared repository
  • Continuous integration / Continuous delivery
  • 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
  • ETL and ELT support
  • Wizards and interactive data viewer
  • Versioning
  • Change data capture (CDC)
  • Automatic documentation
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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
  • 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
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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
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Data Preparation and Stewardship

  • Import, export, and combine data from any database, Excel or CSV file
  • 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
  • Run preparations on Apache Beam*
  • Auto-discovery, standardization, auto-profiling, smart suggestions, and data visualization
  • Auto-discovery, standardization, and auto-profiling of custom semantic types
  • 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 data models, data semantics and profile data accordingly. Define and apply rules (survivorship, mass updates)
  • Define and apply rules (survivorship, mass updates)
  • Merge and match data, resolve data errors, and arbitrate on data (classification and certification)
  • Merge and match data, resolve data errors, and arbitrate on data (classification and certification)
  • Orchestrate and collaborate on activities in campaigns
  • Orchestrate and collaborate on activities in campaigns
  • Define user roles, workflows and priorities, assign and delegate tasks, tag and comment
  • 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 governance and stewardship in data integration flows and manage rejects
  • Embed human certification and error resolution into MDM processes
  • Embed human certification and error resolution into MDM processes
  • Take matching decisions that cannot be processed automatically
  • Take matching decisions that cannot be processed automatically
  • De-duplicate data at scale with machine learning
  • 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
  • Audit and track data error resolution actions. Monitor progress of campaigns. Undo/redo based on business needs
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Management and Monitoring

  • Deployment manager and team collaboration
  • Manage users, groups, roles, projects, and licenses
  • Amazon EC2 lifecycle control
  • Execution plan, time, and event-based scheduler
  • Check points, error recovery
  • Context management (dev, QA, prod)
  • Activity monitoring
  • Log server with dashboard
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Talend Named a Leader Again!

Talend has been named a leader in the 2018 Gartner Magic Quadrant for Data Integration Tools for the 3rd year in a row.

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Increase productivity by 10x without coding

Talend Studio provides over 900 pre-built connectors and components for broad connectivity with native code generation. The graphical drag-and-drop UI and wizards increase productivity and speed development. Automate routine tasks so your team can focus on high-value ones.

Lower your TCO with Talend Cloud

Design cloud-to-cloud, on-premises, or hybrid big data integration workflows in Talend Studio, then deploy and manage them through a highly scalable and secure cloud platform. Quickly build portable data pipelines to integrate technologies from AWS, Azure, Snowflake, Cloudera, Google Cloud Platform, MapR or Hortonworks. With Talend’s managed cloud service there is no need to worry about upgrades, failover, or disaster recovery.

Building Data Lakes in the Cloud with Self-Service Access

Future proof your big data investments

With new technologies entering the market at an exponential rate, Talend helps you adapt quickly to the latest innovations. Talend Big Data Entry-Level makes it easy to create new jobs without learning new languages or big data frameworks, and to transition existing big data pipelines to new frameworks with a few clicks.

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Faster Big Data Integration

Additional Benefits

Self-Service and Collaborative Governance

Data Preparation

Accelerate data usage and collaboration

Data Stewardship

Ensure data integrity through curation

Metadata Bridge

Synchronize, track, and trace data pipelines

Subscription Pricing

Talend significantly lowers the upfront cost and total cost of ownership by charging per user.
Start where you are and scale as you need to.

Customer Success Stories

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