edX Data Science and Engineering with Spark XSeries I - Introduction To Apach...Folco Bombardieri
Results for the "Introduction to Apache Spark" Course from edX - 1st Course of the Data Science and Engineering with Spark XSeries (offered by UC Berkeley)
Duration: 3 weeks
Apache Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers are becoming increasingly valued.
This statistics and data analysis course will teach you the basics of working with Spark and will provide you with the necessary foundation for diving deeper into Spark. You’ll learn about Spark’s architecture and programming model, including commonly used APIs. After completing this course, you’ll be able to write and debug basic Spark applications. This course will also explain how to use Spark’s web user interface (UI), how to recognize common coding errors, and how to proactively prevent errors. The focus of this course will be Spark Core and Spark SQL. The course assignments include word counting and Web Server Log Mining using real world datasets and parallel processing with PySpark.
Demonstration of a significant bias of some French court of appeal judges in decisions about the rights of asylum.
www.supralegem.fr
Presentation meetup ML Paris Feb 17th, 2016
edX Data Science and Engineering with Spark XSeries I - Introduction To Apach...Folco Bombardieri
Results for the "Introduction to Apache Spark" Course from edX - 1st Course of the Data Science and Engineering with Spark XSeries (offered by UC Berkeley)
Duration: 3 weeks
Apache Spark is rapidly becoming the compute engine of choice for big data. Spark programs are more concise and often run 10-100 times faster than Hadoop MapReduce jobs. As companies realize this, Spark developers are becoming increasingly valued.
This statistics and data analysis course will teach you the basics of working with Spark and will provide you with the necessary foundation for diving deeper into Spark. You’ll learn about Spark’s architecture and programming model, including commonly used APIs. After completing this course, you’ll be able to write and debug basic Spark applications. This course will also explain how to use Spark’s web user interface (UI), how to recognize common coding errors, and how to proactively prevent errors. The focus of this course will be Spark Core and Spark SQL. The course assignments include word counting and Web Server Log Mining using real world datasets and parallel processing with PySpark.
Demonstration of a significant bias of some French court of appeal judges in decisions about the rights of asylum.
www.supralegem.fr
Presentation meetup ML Paris Feb 17th, 2016
2. 1. PENGGUNAAN E-MAIL
2. PENGGUNAAN BLOG
3. PENGGUNAAN EXCEL
4. PENGGUNAAN SLIDESHARE
3.
4.
5. STATISTIK PENGIRIMAN BARANG
NO NAMA BARANG
PENJUALAN HARGA
JUMLAH TRANSAKSI
Jan-15 Feb-15 MART-15 Apr-15 Mei-15 (RP)
1KAKAO 210 340 300 600 800 3.500 7.875.000
2KOPI 90 230 2110 760 1045 10.200 43.197.000
3TAPIOKA 420 213 430 320 720 3.300 6.939.900
TOTAL 58.011.900
PAJAK PENGHASILAN 5.801.190
NILAI AKHIR TRANSAKSI 52.210.710
JUMLAH KEUNTUNGAN BERSH 2.610.536