While many organizations have considerable experience in delivering large, complex projects using new technologies, enterprises are finding new challenges in building teams and delivering projects in the new world of big data. These challenges include:
Mastering these challenges can be a complex process that’s crucial to the success or failure of your data initiatives. Ted Malaska and Jonathan Seidman leverage years of experience in building data infrastructure and projects across multiple companies in order to provide insight on how to accelerate the return on investment for your data projects, evaluate and compare big data software in order to select the best technologies for your organization and projects, and hire and train resources to build effective teams.
Whether you’re just starting out or already working with data technologies, you’ll gain the knowledge you need to ensure successful delivery of your data projects.
Ted Malaska is a director of enterprise architecture at Capital One. Previously, he was the director of engineering in the Global Insight Department at Blizzard; principal solutions architect at Cloudera, helping clients find success with the Hadoop ecosystem; and a lead architect at the Financial Industry Regulatory Authority (FINRA). He has contributed code to Apache Flume, Apache Avro, Apache Yarn, Apache HDFS, Apache Spark, Apache Sqoop, and many more. Ted is a coauthor of Hadoop Application Architectures, a frequent speaker at many conferences, and a frequent blogger on data architectures.
Jonathan Seidman is a software engineer on the cloud team at Cloudera. Previously, he was a lead engineer on the big data team at Orbitz, helping to build out the Hadoop clusters supporting the data storage and analysis needs of one of the most heavily trafficked sites on the internet. Jonathan is a cofounder of the Chicago Hadoop User Group and the Chicago Big Data Meetup and a frequent speaker on Hadoop and big data at industry conferences such as Hadoop World, Strata, and OSCON. Jonathan is the coauthor of Hadoop Application Architectures from O’Reilly.
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