Hadoop, Spark and Big Data

Many data professionals struggle with picking between Hadoop or Spark when it comes to Big Data frameworks. Being able to process large amounts of data is a challenge in itself, but finding the most efficient way to do so adds an extra hurdle. Attend this summit to hear why our speakers have chosen the framework they work with, the pros and cons of each type, and gain insights on which might be the right path for you.

Recent Webinars

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Modern BI: Leveraging disk, memory, persistence and streaming to drive value

Modern BI: Leveraging disk, memory, persistence and streaming to drive value

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Data Modeling in Hadoop

Data Modeling in Hadoop

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Talk Big Data To Me: Fast Insights for the Business User

Talk Big Data To Me: Fast Insights for the Business User

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Analytic Platforms and the Value of Shared Context and Business Logic

Analytic Platforms and the Value of Shared Context and Business Logic

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Optimizing Data Preparation and Data Quality in Complex Big Data Environments

Optimizing Data Preparation and Data Quality in Complex Big Data Environments

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Solving the "Middle Data" problem

Solving the "Middle Data" problem

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The Big Data decision path incorporating SAP landscapes

The Big Data decision path incorporating SAP landscapes

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Architectural Comparison of Apache Apex and Spark Streaming

Architectural Comparison of Apache Apex and Spark Streaming

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Demystifying Spark and Hadoop for Big Data Analytics to gain business insight.

Demystifying Spark and Hadoop for Big Data Analytics to gain business insight.

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