MongoDB,Redis,InfluxDB - Master the 3 TOP 1 Ranked Databases

Learn the basics of MongoDB as a document store and server, including community edition, enterprise, and Atlas free tier, with practical notes on JSON documents and collections.

Learn to connect MongoDB Atlas with MongoDB Compass, set up a free Google Cloud cluster, create a user, configure IP access, and work with a demo db and sample data.

Discover MongoDB Compass, a Java-based GUI and CLI, to connect to a server, browse databases and collections, and perform insert, edit, and delete in JSON, list, and tabular views.

Connect to MongoDB Atlas from MongoDB Compass to set up a free cloud cluster. Create a demo db and server metrics collection, add documents, and explore sample weather data.

Explore MongoDB change streams, near real-time notifications that act like triggers. Watch inserts, updates, deletes on replica sets or sharded clusters with resume tokens, filters, and observer integrations.

Create on demand materialized views in MongoDB by using match and merge stages to store results in a dedicated collection, with indexing for fast queries.

Learn the five essentials of Redis: key-value storage, data types and commands, editions (open source, enterprise, cloud), GUI/CLI tools like Redis Insight, and modules such as Redis Search and JSON.

Master the set data type, which disallows duplicates and is unordered, and learn key commands (add, members, card, union, inter, diff, scan) and use cases for counting unique items.

Explore the bitmap data type in Redis, learning how bitmaps store 0/1 values, use memory-efficient bitwise operations, and master key commands like set bit, get bit, bit count, and bitop.

Hyperloglog data type estimates the number of unique values in large data sets without storing the values, using about 12 KB of memory and an error rate under 1%.

Master Redis basics: persistence with AOF and snapshots, core data types, and modules like Redis Json, Redis Search, and time series.

Explore Redis pub/sub fundamentals, including publish and subscribe, pattern subscriptions, and the fire-and-forget delivery with no data storage and no guaranteed deliveries, ideal for real-time, low-latency messaging.

Explore Redis persistence options for in-memory data: RDB snapshots, AOF, hybrid AOF with RDB, or no persistence, and compare durability and data-loss implications.

Discover the Redis json module, a binary json store in Redis stack with dynamic schema and jsonpath support, and learn use cases like mobile app backends, analytics, and IoT data.

Learn how Redis gears embeds functions in Python, Java, and JavaScript for in-server data processing with no extra layer. Explore IoT use cases, data cleansing, language detection, and write-behind architectures.

Explore InfluxDB 2.0 components, including the time series database engine, buckets, and a feature-rich user interface with load data, data explorer, dashboards, and alerts.

Explore InfluxDB 2.0 and 3.0, and why learning both matters, comparing TSM versus SQL, cloud serverless versus OS editions, within the arrow ecosystem powered by Apache Parquet.

Learn InfluxDB 2.0 basics: buckets with retention, api tokens, and flux; understand measurements, line protocol, tags, fields, and timestamps, and how indexing, series, and data types govern updates.

Explore InfluxDB 2.0 notebooks to analyze data with queries, create alerts and tasks, and build multi-panel visualizations that can be exported as PNG or PDF.

InfluxDB offers threshold and dead man alerts with a four-step process (query, configure the check, set a notification endpoint such as Slack, and define rules) using schedule every and offset.

Master InfluxDB 2.0 tasks with flux scripts, detailing options, data sources, processing, and destinations. Explore three examples: copy between buckets, add a calculated column, and post results to http endpoint.