Blogs

Andrea Braida
Portfolio Marketing Manager, IBM

Andrea Braida is a Portfolio Marketing Manager at IBM for Big Data Analytics and Data Science offerings. A former start-up founder, she has extensive product management, product marketing, and data science marketing experience within both global technology giants and start-ups. Andrea is based in Seattle, WA.

Big Replicate: A big insurance policy for your big data

Big Replicate: A big insurance policy for your big data

April 18, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Dwaine Snow is a Global Big Data and Data Science Technical Sales Manager at IBM. He has worked for IBM for more than 20 years, focusing on relational databases, data warehousing, and the new world of big data analytics. He has written eight books and numerous articles on database management, and...
Building a cognitive data lake with ODPi-compliant Hadoop

Building a cognitive data lake with ODPi-compliant Hadoop

April 7, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
For today’s data scientists and data engineers, the data lake is a concept that is both intriguing and often misunderstood. While there are many good resources about data lakes on ibm.com and other websites, there is also a lot of hype and spin. As a result, it can be difficult to get a clear...
Fundamentals for sure-fire cloud data warehouse optimization

Fundamentals for sure-fire cloud data warehouse optimization

An interview with James Kobielus

March 2, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
There is a growing need for versatile, hybrid architectures that can combine the best of both data warehousing and big data analytics. The cloud is the perfect solution, because it makes it easier to build a robust data warehouse as a central “hub”, and then add other environments that can be...
Stream processing and the IBM Open Platform

Stream processing and the IBM Open Platform

Choosing the right engine for real-time data processing with Hadoop

January 27, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Analyzing streams of big data in real time can have a big impact on competitive advantage. In a world of bewildering stream processing engine choices, explore the use-case-dependent alternatives that can provide well-suited business outcomes, courtesy of expertise from Roger Rea and Jacques Roy.
10 expert tips to boost agility with Hadoop as a service

10 expert tips to boost agility with Hadoop as a service

January 11, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big...
How to build an all-purpose big data engine with Hadoop and Spark

How to build an all-purpose big data engine with Hadoop and Spark

Interview with Rohan Vaidyanathan and Niru Anisetti

January 4, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say...
How to navigate—and conquer—the world of Hadoop and Spark

How to navigate—and conquer—the world of Hadoop and Spark

Interview with Julie Elliot and Mike Ashwell

December 22, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
IBM has identified a number of common problems that many businesses find themselves facing in their various stages of Apache Hadoop and Apache Spark adoption. As a result, IBM has developed a set of support services to help customers accelerate time-to-value outcomes and reduce risk when building...
Hadoop and Spark coaches: Training and insights for all maturity levels

Hadoop and Spark coaches: Training and insights for all maturity levels

December 15, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
At the core of many big data architectures is Apache Hadoop and Apache Spark. Organizations adopting these technologies for their big data journey are nevertheless at different levels of maturity. Hear what Prasad Pandit had to say in an interview with Andrea Braida about how IBM is evolving its...
Experimenting with Hadoop is now easier than ever before

Experimenting with Hadoop is now easier than ever before

Interview with Ayesha Zaka

December 7, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
Many forward-thinking organizations want to investigate how big data analytics helps them outthink and outperform the competition. However, many also are challenged with finding the right talent to run the operations, keep the data secure and figure out how to leverage the myriad tools at their...
Taking the hard work out of Apache Hadoop

Taking the hard work out of Apache Hadoop

November 1, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
Why has IBM created its own distribution of Apache Hadoop and Apache Spark, and what makes it stand out from the competition? We asked Prasad Pandit, program director, product management, Hadoop and open analytics systems, at IBM to give us a tour of the reference architecture for IBM Open Platform...

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