As the worlds of Data Engineering and Data Sciences merge, demand is soaring for professionals who are adept in both the worlds and can solve real data science problems using Big Data technologies like Hadoop and Spark.
Practical Data Science with Hadoop® and Spark: Designing and Building Effective Analytics at Scale is your complete guide to doing just that. Drawing on immense experience with Hadoop, Spark and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials.
Key learning points:
- What data science is, how it has evolved, and how to plan a data science career.
- How data volume, variety, and velocity shape data science use cases.
- Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark.
- Data importation with Hive and Spark.
- Data quality, preprocessing, preparation, and modeling.
- Visualization: surfacing insights from huge data sets.
- Machine learning: classification, regression, clustering, and anomaly detection.
- Algorithms and Hadoop tools for predictive modeling
Third Eye Data is pleased to announce a free raffle of this book Practical Data Science with Hadoop and Spark by Ofer Mendelevitch and his team.
Grab your copy today! All you need to do is to enter your name in the raffle.
Offer expires on March 31 2017.
Offer expires on March 31 2017.
Third Eye Data is a Silicon Valley based one-stop-shop for Data Engineering and Data Science services. Our Consulting Services transform organizational knowledge into insights for more informed and timely business decisions with the best possible TCO. Leveraging latest trends in data sciences, we enable businesses to churn through petabytes of data to transform information into knowledge which results in additional revenue generation.
