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// ddia notes

Designing Data-
Intensive Applications

Condensed, interview-ready notes from Martin Kleppmann's DDIA — the SDE interview bible. One chapter at a time.

01
DDIA · Ch.1 Reliable, Scalable & Maintainable The three concerns behind every data system — and what each really means in practice.
Apr 01, 2023 ↗
02
DDIA · Ch.2 Data Models & Query Languages Relational vs document vs graph models, and the query languages that drive them.
Apr 02, 2023 ↗
03
DDIA · Ch.3 Storage & Retrieval How databases store and find data — hash indexes, LSM-trees, B-trees, and OLAP.
Apr 02, 2023 ↗
04
DDIA · Ch.4 Encoding & Evolution Backward vs forward compatibility, schema evolution with Protobuf/Thrift/Avro, and the three modes of dataflow.
Apr 03, 2023 ↗
05
DDIA · Ch.5 Replication Single-leader, multi-leader, and leaderless replication, replication lag, and quorums.
Apr 04, 2023 ↗
06
DDIA · Ch.6 Partitioning Key-range vs hash partitioning, hot spots, secondary indexes, rebalancing, and routing.
Apr 05, 2023 ↗
07
DDIA · Ch.7 Transactions ACID, isolation levels, lost updates and write skew, and the paths to serializability.
Apr 06, 2023 ↗
08
DDIA · Ch.8 The Trouble with Distributed Systems Unreliable networks and clocks, process pauses, fencing tokens, and Byzantine faults.
Apr 07, 2023 ↗
09
DDIA · Ch.9 Consistency & Consensus Linearizability, CAP, ordering and causality, two-phase commit, and consensus.
Apr 08, 2023 ↗
10
DDIA · Ch.10 Batch Processing The Unix philosophy, MapReduce, joins, and dataflow engines like Spark and Flink.
Apr 09, 2023 ↗
11
DDIA · Ch.11 Stream Processing Event streams, log-based brokers, CDC, event sourcing, windows, and stream joins.
Apr 10, 2023 ↗
12
DDIA · Ch.12 The Future of Data Systems Deriving data from logs, unbundling the database, end-to-end correctness, and ethics.
Apr 11, 2023 ↗