BMC Control-M
for Big Data

Deliver Data-Driver outcomes faster with application workflow orchestration

To harness the power of big data, you need an enterprise-grade workflow orchestration product that gives you the tools you need to accelerate project delivery. Big data relies heavily on interaction with the rest of your IT ecosystem. Control-M for Big Data helps you automate real-time workflows across hybrid and multi-cloud environments and leading technologies to ensure consistent service levels

Key benefits

Control-M for Big Data simplifies work- flow orchestration.
End-to-end visibility: Manage big data workflows through a simple drag-and-drop interface that provides universal visibility and control for all your workflows.
Rich ecosystem support: Apache® Spark™, Apache® Oozie™, EMR, Snowflake, Redshift and others.
Improved reliability: Detects and prevents potential problems with forecasting features and predictive analytics; restarts can be attempted automatically without requiring human intervention
Makes implementation fast and accurate by replacing manual scripting with automated workflow orchestration and data integration, dramatically shortening development time, preventing coding errors, and reducing time-to-value
Improves business focus instead of spending time building connectors and coordinating multiple tools
CFI — Authorized Distributor and Elite Partner
of BMC Software for 11 years

Business challenge

Every day you collect vast amounts of data from various sources, such as enterprise data warehouses, relational databases, and traditional applications. The data must be synchronized, ingested, consolidated, cleansed, and analyzed to give the actionable intelligence your business needs. This integration is difficult to build, and development is typically done with scripts, which are time consuming to develop and maintain. This complexity limits the speed at which big data applications can be delivered, making it difficult to adapt to the challenges posed by accelerated applications, disparate data, and increasingly diverse infrastructure.

BMS solution

With Control-M for Big Data, you can orchestrate big data workflows on premises and in the cloud, ingesting and processing data from platforms like Hadoop, Spark, EMR, Snowflake and RedShift. You get an end-to-end view of data pipelines at every stage, from data ingestion and processing, to storage and analytics.

Product details

Powerful, simple interface
Users create and manage workflows via the interfaces they prefer. Graphical interfaces minimize the knowledge required of scheduling or Hadoop. Jobs are built and scheduled through wizard-like forms that include dropdown menus to simplify selection of the correct parameters and prevent input errors. Command line and programming interfaces enable developers to minimize scripting. Interfacing with enterprise applications, scheduling jobs, and monitoring their status are just as easy.
Comprehensive support
Control-M for Big Data can orchestrate workflows and integrate data from multiple sources. Supported solutions and formats include:
  • Big Data platforms and technologies such as Hadoop, AWS EMR, Azure HDInsights, Spark, Oozie, Impala, DistCp, Pig™, Hive™, Sqoop™, Tajo™, Streaming, Hive Server 2, and Hadoop Distributed File System (HDFS) operations.
  • Enterprise Data Warehouses (EDW) – AWS Redshift, Informatica®, IBM® InfoSphere® DataStage®, IBM DB2, Microsoft® SQL Server™, Oracle® databases, and others
  • Technologies – FTP, sFTP, Web Services, Enterprise Java Beans (EJB), and Java® applications
  • ETL functions and business intelligence systems – Informatica, IBM® Cognos®, SAP® BusinessObjects™, Oracle® Business Intelligence, and SQL Server SSIS
  • RDBMS – Oracle, Sybase®, DB2/UDB, SQL Server, and PostgreSQL®
  • AWS Lambda, Step Functions, Batch, SQS, SNS and S3 Azure Logic Apps, Functions and Batch
  • Backup systems – Symantec® NetBackup™ and IBM® Tivoli® Storage Manager
  • Operating systems – Microsoft® Windows®, UNIX®, Linux®, IBM® z/OS®, IBM® iSeries®, Tandem®, and OpenVMS
Users can monitor and manage their own workflows from any browser- based device, including mobile iOS® and Android™ devices


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