HCIP-Big Data Developer study guide
HCIP-Big Data Developer · Work through your exam, one topic at a time.
The HCIP-Big Data Developer credential is Huawei's professional-level certification for engineers who build and operate applications on the FusionInsight big data platform. It targets developers, data engineers, and platform administrators who already know distributed computing basics and now need to write production code against HDFS, YARN, Hive, HBase, Spark, Flink, and Kafka, plus the ingestion and security layers around them. The HCIP-Big Data Developer study guide has 10 sections and about 2,476 words.
01Big Data Architecture and Huawei FusionInsight Overview
FusionInsight HD is Huawei's Hadoop-based big data platform; the exam checks that you can place each service in the data path and explain how Manager, security, and multi-tenancy fit around it. Core data services include HDFS for storage, YARN for resource scheduling, MapReduce/Tez/Spark for batch, Hive for SQL, HBase for random access, Flink for streaming, Kafka for buffering, and Flume/Loader/Sqoop for ingestion.
312 words, about 2 min02Hadoop Distributed File System (HDFS) Design and Development
HDFS splits a file into blocks, 128 MB by default in FusionInsight HD, and stores each block as replicas, default 3. The NameNode holds the namespace and block-to-DataNode mapping in memory and persists namespace edits; DataNodes hold the actual blocks.
250 words, about 1 min03MapReduce and YARN Application Development
ResourceManager schedules cluster resources; NodeManager launches and monitors containers on each node; the ApplicationMaster runs inside a container and negotiates resources for a job. A MapReduce job's AM requests map and reduce containers, monitors tasks, and retries failures.
252 words, about 1 min04Hive Data Warehouse and SQL-on-Big-Data Development
HiveServer2 accepts SQL; the metastore stores table, partition, and column metadata in a relational database; execution runs on Tez, MapReduce, or Spark. Internal tables drop data with metadata; external tables drop metadata only.
234 words, about 1 min05HBase Distributed Database Design and Development
HBase stores rows sorted lexicographically by rowkey. A table is split into regions, each served by one RegionServer; HMaster assigns regions and handles metadata but does not serve reads.
247 words, about 1 min06Spark Core and Spark SQL Development
Spark RDDs are immutable and lazily evaluated; transformations build a lineage, actions trigger jobs. Narrow transformations keep partitions; wide transformations such as groupByKey, join, and repartition cause a shuffle.
238 words, about 1 min07Flink Stream Processing and Real-Time Development
Flink streaming jobs process unbounded data. Event time uses timestamps in records; processing time uses the system clock.
230 words, about 1 min08Kafka and Data Ingestion / Integration (Flume, Loader, Sqoop)
A topic is split into partitions; each partition has a leader and followers. Replication factor copies partitions across brokers.
239 words, about 1 min09Big Data Security, Permissions, and Multi-Tenancy
FusionInsight security separates authentication from authorization. Kerberos authenticates users and services with principals and keytabs; LDAP can provide directory-backed identities; TLS protects transport.
234 words, about 1 min10Performance Tuning, Troubleshooting, and Operations for Big Data Applications
Start from a symptom and a metric, not a parameter. FusionInsight Manager shows service health, alarms, and role logs.
240 words, about 1 min