Multi-Cloud Blog

Simplifying and Scaling Data Pipelines in the Cloud

2 minute read
Alon Lebenthal

Cloud computing of data pipelines, a core capability to achieve business agility, is increasingly complex due to a fast-growing number of tools available to ingest, process, and analyze the data.

BMC is excited to be a member of the Snowflake Technology Alliance Partner program. Snowflake’s cloud data platform helps customers to accelerate the data-driven enterprise with Snowflake’s market-leading, built-for-cloud data warehouse and BMC’s market-leading enterprise application workflow orchestration platform, Control-M.

“The drive for digital business agility has never been more urgent,” said Gur Steif, President, Digital Business Automation at BMC. “Scaling data to feed AI and machine learning analytics engines that can optimize digital business offers, as well as accelerate insights and business decisions, is table stakes for leading companies today. With Control-M, Snowflake customers can integrate, automate, and orchestrate end-to-end data pipeline workflows from a single screen, using ‘as-Code’ DevOps processes with built-in advanced operational capabilities such as governance, auditing, and SLA management.”

The combination of Snowflake and Control-M solutions enables companies to automate their analytics and machine learning applications at cloud scale with minimized costs. With this partnership, the Control-M solution now includes native interface support for Snowflake users.

Specifically, Snowflake’s built-for-the-cloud data warehouse provides a high-performance, zero management solution for data analytics, enabling organizations to become data-driven. The Control-M solution simplifies and scales data pipelines and application workflows across on-premises and multiple clouds by integrating, automating, and orchestrating all data ingest, process, and analysis workflows.

One organization already using the Control-M solution to orchestrate their Snowflake workflows and integrate it with their entire data pipeline is Malwarebytes, an anti-malware software company with millions of customers around the world.

“Snowflake powers our enterprise data warehouse and is a critical piece of infrastructure to help us hunt malware,” says Sujay Kulkarni, Senior Manager, Data Science and Engineering. “Leveraging Snowflake’s revolutionary analytics platform on the orchestration backbone of Control-M has allowed us to scale, drive cost optimization, and achieve agility and performance that was impossible a few years ago.”, said Sujay Kulkarni, Senior Manager, Data Science and Engineering at Malwarebytes.

To learn how to integrate Snowflake with Control-M in four steps, download this whitepaper here.

4 easy steps to integrate Snowflake and Control-M

A faster data pipeline can accelerate the value of your Big Data strategy. This white paper presents a four-step approach to connect Snowflake with app workflow orchestration and automate key activities so you can:
Download e-book › ›

These postings are my own and do not necessarily represent BMC's position, strategies, or opinion.

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About the author

Alon Lebenthal

Alon Lebenthal is a Senior Manager in the Digital Business Automation Solutions Marketing in BMC Software. Alon has over 25 years of experience in the IT industry, joining BMC Software in 1999 with the acquisition of New Dimension Software. Alon is a regular speaker in Big Data conferences and BMC events around the world.