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Developing Data-driven Applications with Apache Accumulo

Course:  ACCUM
Duration:  3 Days
Level:  III
Course Summary

Apache Accumulo is a Google BigTable-inspired datastore built around highly distributed key/value stores. As a part of the Hadoop ecosystem, it targets tera-scale and peta-scale datasets while maintaining redundancy, throughput, and high availability. Accumulo allows for cell-level access control as well as server-side functions for filtering and aggregation, sharing, and a pluggable balancing mechanism.

This course is delivered as a 3-day, 6 evening, or 9 evening course either virtually or onsite.

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Topics Covered In This Course

Review of MapReduce with Hadoop

Overview of Accumulo

  • Features
  • History
  • NoSQL
  • Comparisons to other NoSQL solutions
  • Hello, Accumulo!

Iterators

  • Filtering
  • Aggregation

Table Management

  • Merging
  • Cloning
  • Compacting
  • Deleting

Cell Labels

  • Cell Labels
  • Cell Access

Implementing Table Constraints

  • Using Constraints
  • Customizing Constraints

Sharding

  • Document Sharding
  • Dataset Sharding

Testing

  • Unit Testing
  • Mocking Accumulo
  • Functional Tests
  • Scaling Tests
  • Random Walks

Extensibility

  • Pluggable Balancers
  • Pluggable Memory Manager
  • Pluggable Logger Assignment Strategy
Recommended Prerequisites

Attendees must have substantial prior experience using Hadoop, and very strong understanding of Java data access techniques.

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Every student attending a Verhoef Training class will receive a certificate good for $100 toward their next public class taken within a year.

You can also buy "Verhoef Vouchers" to get a discounted rate for a single student in any of our public or web-based classes. Contact your account manager or our sales office for details.

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