HCIA-Big Data study materials
HCIA-Big Data study resources

HCIA-Big Data case studies

HCIA-Big Data · Put your knowledge to work in context.

HCIA-Big Data is the Associate-level credential in Huawei's Career Certification portfolio, which Huawei describes as offering three levels: Huawei Certified ICT Associate (HCIA), Huawei Certified ICT Professional (HCIP), and Huawei Certified ICT Expert (HCIE). The associate tier is the entry point, aimed at students, career changers, and engineers who need a working vocabulary of the big data stack before specialising. Candidates typically cover the big data landscape and ecosystem, Hadoop and MapReduce fundamentals, Hive and data warehousing basics, HBase and NoSQL concepts, and FusionInsight platform operations. Expect scenario-based multiple-choice items rather than hands-on lab work at this level. The HCIA-Big Data case studies are 5 cases and about 3,568 words.

1

Designing a Mixed Batch and Streaming Architecture for Fleet Telemetry

Northline Logistics tracks 48,000 delivery vehicles. Each vehicle emits a GPS record every 10 seconds, producing about 3 TB of raw JSON per day.

766 words, about 4 min
2

Diagnosing Reduce-Side Skew in a Daily Order-Customer Join

A 40-node Hadoop cluster runs a MapReduce job that joins 800 million order records (about 6 TB) with a 2 million row customer dimension table (about 400 MB). The job uses 200 reducers.

699 words, about 3 min
3

Redesigning a Hive Table That Ignores Its Partitions

A retail analytics team runs Hive 3.1 on a 20-node cluster. The sales fact table holds 8 TB of ORC data and is partitioned by dt (load date), with 1,200 daily partitions.

705 words, about 4 min
4

Fixing a Monotonic Rowkey Hotspot in an HBase IoT Table

An IoT platform stores 4 billion sensor readings per day in HBase 2.x on a 10-node cluster. The rowkey is built as timestamp + deviceId, for example 20240601123045-sensor-000123.

699 words, about 3 min
5

Triaging a Multi-Tenant FusionInsight Cluster After a Failed ETL

A FusionInsight Manager cluster has 30 nodes: 3 management nodes and 27 data nodes. At 02:10 the nightly ETL fails.

699 words, about 3 min