April 18, 2019

Engineering and Security Blog: New Cazena Release Highlights Enterprise Security

By: John Piekos, VP of Engineering and Brian Lachance, CISO

Cazena is proud to announce our latest release of our core Big Data as a Service. This release of Cazena is the culmination of the past four incremental releases, all focused on security. This version delivers a new security architecture that enables end-to-end TLS encryption as well as many other security capabilities, available in all of Cazena’s managed SaaS solutions.

 

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Barcelona, well known for its architectural masterpieces, is hosting a different type of architect this week – data architects. At this week’s DataWorks Summit in Barcelona, Cazena will be mixing with distinguished data architects along with experts in cloud, big data, Hadoop, analytics, data science, machine learning, and more. 

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Cazena and Cloudaeon are pleased to announce a partnership that extends the power of Cazena’s cloud-based Big Data as a Service and Cloudaeon’s automated analytics and demand forecasting solutions. The partnership is aimed at helping companies in retail, supply chain and logistics more effectively use data and analytics for strategic activities.

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January 15, 2019

Engineering Cazena’s Big Data as a Service: A Year in Perspective

By: John Piekos, VP of Engineering and Brian Lachance, CISO

When you deliver product incrementally, in an agile fashion, it is often hard to see, week to week, sprint to sprint, all the great progress made throughout the year. That’s why, at the end of every year, I enjoy looking back at what my teams and company have accomplished the past twelve months. For Cazena it was an exceptional year with triple-digit growth of our customer subscriber base.  Behind the curtain, the data paints an interesting picture of what it means to provide this growing customer base with a fully-managed, secure, highly-available big data platform.

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We are pleased to announce a new partnership between Cazena and Eden Smith, the leading UK big data consulting and staffing specialist. The companies share a strategic mission of empowering data leaders and accelerating analytic impact. Eden Smith is known for deep market knowledge, strategy expertise and a vetted roster of data and analytics talent, with a specific focus on Chief Data Officers. Cazena’s Big Data as a Service solutions are fully-managed, secured and automated, offering enterprise data lakes, analytics and data science platforms at ½ the cost of alternatives.

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Big Data LDN is right around the corner and this year’s event (November 13-14 in London) boasts an impressive roster of speakers including big data visionaries, experts, and real-world data pros sharing insight and tips on how to build dynamic, data-driven enterprises.

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September 25, 2018

Strata NYC 2018 Notebook: Tech Trends & Takeaways

By: Dan Stair, Big Data Architect

It's always great to attend the Strata NYC conference to see what people are working on across the industry. Cazena attended in force this year, with colleagues, partners, customers and friends. We debuted several solution demos, cheered as one of our customers won a notable award and attended sessions. We had a cool booth on the expo floor keeping attendees headache-free with our handy giveaways. Here are my takeaways -- the fun and interesting technical concepts and trends. A few things really stood out this year. As always, there was that one technology that everyone kept asking about.

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September 6, 2018

The Hidden Costs of DIY Big Data

By: Hannah Smalltree

We are pleased to share Cazena’s latest infographic, a visual representation of what’s required to deploy and operate your own cloud big data platform. Too many companies drastically underestimate these projects. So, our team collaborated, researched and cataloged what it takes to assemble and operate a production-grade cloud big data platform. The result is this artful infographic, which emphasizes the complexity challenges inherent in DIY big data. 

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Cazena’s dev team carefully tracks the latest architectural approaches and technologies against our customer’s current requirements. We’ve seen strong interest in real-time streaming data analytics with Kafka + Apache Spark + Kudu. The team has helped our customers design and implement Spark streaming use cases to serve a variety of purposes. Here is what we learned about stream processing with Kafka, Spark, and Kudu in a brief tutorial.

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As Cazena marks the end of our first year post-GA, I am excited that we are seeing over 300% annual growth with our Big Data as a Service. We are seeing interesting patterns across these enterprises.

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