Benefits. Multiple container setups: No need to start each container manually and individually. Keep all configurations in one place: All services are defined in a single compose.yml file. Improves teamwork: Easy for collaborators to understand and replicate your entire setup.

Docker Compose makes it easy to run multiple containers together. Instead of starting each service separately, docker compose lets you define everything inside a single file, compose.yml or docker-compose.yml (for older versions) and start them with a single command.

Docker is a great tool that makes it easy to package, share, and run applications using containers. However, as the number of containers continues to grow, managing each container individually becomes harder and more time-consuming. #dataengineering.#devops .#buildinpublic

RT @data_dec: 🚀 𝐃𝐄 𝐋𝐚𝐮𝐧𝐜𝐡𝐏𝐚𝐝 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐎𝐩𝐞𝐧 𝐓𝐨𝐝𝐚𝐲!. We're excited to launch DE LaunchPad — a beginner-focused program to help aspiring D….

Use Cases:.Data Lakes, NoSQL databases, Big Data Platforms (Hadoop).Social media platforms.

Schema-on-Read: A modern approach to data management. With this method, the structure of the data (schema) is defined when the data is read or retrieved, and not during data ingestion. This allows for much flexibility in handling diverse and unstructured datasets.

This schema specifies the structure, types, and constraints to be applied to the data, ensuring that all incoming data adheres to the rules, which enhances data quality and consistency. Use Cases:.Traditional databases: Oracle, MySQL, and PostgreSQL.Financial Institutions.

Schema: Defining the structure of how data is stored in a database. Schema-on-Write: .A traditional approach to data management. It involves defining the data schema first before storing any data.

Schema-on-Read vs Schema-on-Write. These are two important concepts in data management. Data Management:.This is the process of collecting, storing, arranging, and maintaining data that an organization creates or collects.

𝐖𝐡𝐞𝐭𝐡𝐞𝐫 𝐲𝐨𝐮'𝐫𝐞 𝐢𝐧𝐭𝐨 𝐃𝐞𝐯𝐎𝐩𝐬 𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐈𝐚𝐂 𝐢𝐬 𝐚 𝐬𝐤𝐢𝐥𝐥 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝 𝐥𝐞𝐚𝐫𝐧. 𝐈𝐭’𝐬 𝐟𝐚𝐬𝐭, 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐡𝐞𝐥𝐩𝐬 𝐚𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞 𝐲𝐨𝐮𝐫 𝐰𝐨𝐫𝐤 𝐬𝐩𝐞𝐞𝐝.

It uses HashiCorp Configuration Language (HCL) and follows a declarative approach, meaning you just describe the infrastructure you want, and Terraform handles the implementation details.

Infrastructure as Code (IaC) removes the stress of setting up infrastructure manually. With IaC, you use code to create and manage your infrastructure. One popular tool for IaC is Terraform. 👉🏿 Code: #devops #data .#dataengineering .#terraform #google

But also remember, you can't network yourself out from mediocrity. First build competence in your area of career choice. Nobody wants to network with someone who has nothing to offer.

RT @livewithnoregrt: forgive yourself for the times u were too nice when u should have been cold.

RT @theolderbro_: @_falsi1ke Stop hiding in your comfort zone. Strangers hold opportunities, connections, and breakthroughs you can't find….

RT @TGPath: @_falsi1ke Your comfort zone won’t build connections — your courage will. Speak up. Show up. Shake hands. Opportunities come….

RT @Kxpaa_: @_falsi1ke You were not born to hide. Your next client, investor, or partner is a conversation away. Get uncomfortable. Intro….

𝐁𝐥𝐨𝐠𝐬. 𝐕𝐢𝐝𝐞𝐨𝐬.

It is a simple to learn yet powerful format for configurations, automation, and data serialization. It uses indentation to define structure and makes managing configurations easier. Curious to know more, check out the links below 👇🏾👇🏾.

𝐘𝐀𝐌𝐋 𝐢𝐬 𝐭𝐡𝐞 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧. YAML(𝐘𝐀𝐌𝐋 𝐀𝐢𝐧’𝐭 𝐌𝐚𝐫𝐤𝐮𝐩 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞) is one of the most popular data serialization languages, widely used in infrastructure automation, API management and software development.