Pig for Wrangling Big Data

Pig for Wrangling Big Data

5 Hours
Deal Price$18.00
Suggested Price
$69.00
You save 73%
Pig for Wrangling Big Data
$18.00$69.0073% OFF
Pig for Wrangling Big Data

34 Lessons (5h)

  • You, This Course and Us
    You, This Course and Us1:46
  • Where does Pig fit in?
    Pig and the Hadoop ecosystem9:37
    Install and set up8:50
    How does Pig compare with Hive?10:15
    Pig Latin as a data flow language6:17
    Pig with HBase5:18
  • Pig Basics
    Operating modes, running a Pig script, the Grunt shell9:52
    Loading data and creating our first relation8:45
    Scalar data types9:55
    Complex data types - The Tuple, Bag and Map13:45
    Partial schema specification for relations10:00
    Displaying and storing relations - The dump and store commands
  • Pig Operations And Data Transformations
    Selecting fields from a relation10:22
    Built-in functions5:08
    Evaluation functions10:31
    Using the distinct, limit and order by keywords5:04
    Filtering records based on a predicate11:01
  • Advanced Data Transformations
    Group by and aggregate transformations12:12
    Combining datasets using Join16:19
    Concatenating datasets using Union4:32
    Generating multiple records by flattening complex fields5:24
    Using Co-Group, Semi-Join and Sampling records9:26
    The nested Foreach command13:47
    Debug Pig scripts using Explain and Illustrate12:55
  • Optimizing Data Transformations
    Parallelize operations using the Parallel keyword8:02
    Join Optimizations: Multiple relations join, large and small relation join10:34
    Join Optimizations: Skew join and sort-merge join8:51
    Common sense optimizations5:25
  • A real-world example
    Parsing server logs7:55
    Summarizing error logs8:47
  • Installing Hadoop in a Local Environment
    Hadoop Install Modes8:32
    Setup a Virtual Linux Instance (For Windows users)15:31
    Hadoop Standalone mode Install9:33
    Hadoop Pseudo-Distributed mode Install14:25
Pig for Wrangling Big Data
$18.00$69.0073% OFF
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DescriptionInstructorImportant DetailsRelated Products

Become a Well-Paid Data Handler by Learning to Load, Transform & Extract Data Using Pig

L
LoonyCornLoonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Description

Think about the last time you saw a completely unorganized spreadsheet. Now imagine that spreadsheet was 100,000 times larger. Mind-boggling, right? That's why there's Pig. Pig works with unstructured data to wrestle it into a more palatable form that can be stored in a data warehouse for reporting and analysis. With the massive sets of disorganized data many companies are working with today, people who can work with Pig are in major demand. By the end of this course, you could qualify as one of those people.

  • Access 34 lectures & 5 hours of content 24/7
  • Clean up server logs using Pig
  • Work w/ unstructured data to extract information, transform it, & store it in a usable form
  • Write intermediate level Pig scripts to munge data
  • Optimize Pig operations to work on large data sets

Specs

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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