#dbt and BigQuery projects

[olivergisttv]

How to Successfully Prepare for a Career in Data Engineering Now in 2025

In the era of AI, LLMs, and real-time personalization, data is the fuel—and data engineers are the mechanics. While data scientists often get the spotlight, it’s the data engineers who architect, build, and maintain the pipelines that make all those smart decisions possible. If you’re interested in a high-impact, high-demand career that blends backend engineering with business insight, this guide…

[sapientsapiens]

Analytics Engineering

The module on Analytics Engineering at #dezoomcamp @DataTalksClub has been the toughest till now in this course. The core concept revolves around having the data extracted from the source and loaded into the data platform (BigQuery DWH in our case) & apply transformations on it with dbt (data build tool). Here we are introduced to the dbt cloud IDE which can integrate with BigQuery or most data platforms for that matter. We saw how we can :

Connect dbt Cloud to BigQuery​​

Initialize our dbt project​ and start developing​

Build our model​

Change the way our model is materialized​

Add tests to our models​

Document the models​

Deploy using dbt​

Visualizing the data with Looker Studio, formerly Google Data Studio

[dbttraininginhyderabad]

Best DBT Course in Hyderabad | Data Build Tool Training

What is DBT, and Why is it Used in Data Engineering?

DBT, short for Data Build Tool, is an open-source command-line tool that allows data analysts and engineers to transform data in their warehouses using SQL. Unlike traditional ETL (Extract, Transform, Load) processes, which manage data transformations separately, DBT focuses solely on the Transform step and operates directly within the data warehouse.

DBT enables users to define models (SQL queries) that describe how raw data should be cleaned, joined, or transformed into analytics-ready datasets. It executes these models efficiently, tracks dependencies between them, and manages the transformation process within the data warehouse. DBT Training

Key Features of DBT

SQL-Centric: DBT is built around SQL, making it accessible to data professionals who already have SQL expertise. No need for learning complex programming languages.

Version Control: DBT integrates seamlessly with version control systems like Git, allowing teams to collaborate effectively while maintaining an organized history of changes.

Testing and Validation: DBT provides built-in testing capabilities, enabling users to validate their data models with ease. Custom tests can also be defined to ensure data accuracy.

Documentation: With dbt, users can automatically generate documentation for their data models, providing transparency and fostering collaboration across teams.

Modularity: DBT encourages the use of modular SQL code, allowing users to break down complex transformations into manageable components that can be reused. DBT Classes Online

Why is DBT Used in Data Engineering?

DBT has become a critical tool in data engineering for several reasons:

1. Simplifies Data Transformation

Traditionally, the Transform step in ETL processes required specialized tools or complex scripts. DBT simplifies this by empowering data teams to write SQL-based transformations that run directly within their data warehouses. This eliminates the need for external tools and reduces complexity.

2. Works with Modern Data Warehouses

DBT is designed to integrate seamlessly with modern cloud-based data warehouses such as Snowflake, BigQuery, Redshift, and Databricks. By operating directly in the warehouse, it leverages the power and scalability of these platforms, ensuring fast and efficient transformations. DBT Certification Training Online

3. Encourages Collaboration and Transparency

With its integration with Git, dbt promotes collaboration among teams. Multiple team members can work on the same project, track changes, and ensure version control. The autogenerated documentation further enhances transparency by providing a clear view of the data pipeline.

4. Supports CI/CD Pipelines

DBT enables teams to adopt Continuous Integration/Continuous Deployment (CI/CD) workflows for data transformations. This ensures that changes to models are tested and validated before being deployed, reducing the risk of errors in production.

5. Focus on Analytics Engineering

DBT shifts the focus from traditional ETL to ELT (Extract, Load, Transform). With raw data already loaded into the warehouse, dbt allows teams to spend more time analyzing data rather than managing complex pipelines.

Real-World Use Cases

Data Cleaning and Enrichment: DBT is used to clean raw data, apply business logic, and create enriched datasets for analysis.

Building Data Models: Companies rely on dbt to create reusable, analytics-ready models that power dashboards and reports. DBT Online Training

Tracking Data Lineage: With its ability to visualize dependencies, dbt helps track the flow of data, ensuring transparency and accountability.

Conclusion

DBT has revolutionized the way data teams approach data transformations. By empowering analysts and engineers to use SQL for transformations, promoting collaboration, and leveraging the scalability of modern data warehouses, dbt has become a cornerstone of modern data engineering. Whether you are cleaning data, building data models, or ensuring data quality, dbt offers a robust and efficient solution that aligns with the needs of today’s data-driven organizations.

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[foxandco94]

Airflow Clickhouse

Aspect calc. Aspect ratio calculator to get aspect ratio for your images or videos (4:3, 16:9, etc.).

Airflow Clickhouse Example

Airflow-clickhouse-plugin 0.6.0 Mar 13, 2021 airflow-clickhouse-plugin - Airflow plugin to execute ClickHouse commands and queries. Baluchon 0.0.1 Dec 19, 2020 A tool for managing migrations in Clickhouse. Domination 1.2 Sep 21, 2020 Real-time application in order to dominate Humans. Intelecy-pandahouse 0.3.2 Aug 25, 2020 Pandas interface for. I investigate how fast ClickHouse 18.16.1 can query 1.1 billion taxi journeys on a 3-node, 108-core AWS EC2 cluster. Convert CSVs to ORC Faster I compare the ORC file construction times of Spark 2.4.0, Hive 2.3.4 and Presto 0.214. Rev transcription career. We and third parties use cookies or similar technologies ('Cookies') as described below to collect and process personal data, such as your IP address or browser information. The world's first data engineering coding bootcamp in Berlin. Learn sustainable data craftsmanship beyond the AI-hype. Join our school and learn how to build and maintain infrastructure that powers data products, data analytics tools, data science models, business intelligence and machine learning s.

Airflow Clickhouse Connection

Package Name AccessSummary Updated jupyterlabpublic An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. 2021-04-22httpcorepublic The next generation HTTP client. 2021-04-22jsondiffpublic Diff JSON and JSON-like structures in Python 2021-04-22jupyter_kernel_gatewaypublic Jupyter Kernel Gateway 2021-04-22reportlabpublic Open-source engine for creating complex, data-driven PDF documents and custom vector graphics 2021-04-21pytest-asynciopublic Pytest support for asyncio 2021-04-21enamlpublic Declarative DSL for building rich user interfaces in Python 2021-04-21onigurumapublic A regular expression library. 2021-04-21cfn-lintpublic CloudFormation Linter 2021-04-21aws-c-commonpublic Core c99 package for AWS SDK for C. Includes cross-platform primitives, configuration, data structures, and error handling. 2021-04-21nginxpublic Nginx is an HTTP and reverse proxy server 2021-04-21libgcryptpublic a general purpose cryptographic library originally based on code from GnuPG. 2021-04-21google-authpublic Google authentication library for Python 2021-04-21sqlalchemy-utilspublic Various utility functions for SQLAlchemy 2021-04-21flask-apschedulerpublic Flask-APScheduler is a Flask extension which adds support for the APScheduler 2021-04-21datadogpublic The Datadog Python library 2021-04-21cattrspublic Complex custom class converters for attrs. 2021-04-21argcompletepublic Bash tab completion for argparse 2021-04-21luarockspublic LuaRocks is the package manager for Lua modulesLuaRocks is the package manager for Lua module 2021-04-21srslypublic Modern high-performance serialization utilities for Python 2021-04-19pytest-benchmarkpublic A py.test fixture for benchmarking code 2021-04-19fastavropublic Fast read/write of AVRO files 2021-04-19cataloguepublic Super lightweight function registries for your library 2021-04-19zarrpublic An implementation of chunked, compressed, N-dimensional arrays for Python. 2021-04-19python-engineiopublic Engine.IO server 2021-04-19nuitkapublic Python compiler with full language support and CPython compatibility 2021-04-19hypothesispublic A library for property based testing 2021-04-19flask-adminpublic Simple and extensible admin interface framework for Flask 2021-04-19hyperframepublic Pure-Python HTTP/2 framing 2021-04-19pythonpublic General purpose programming language 2021-04-17python-regr-testsuitepublic General purpose programming language 2021-04-17pyamgpublic Algebraic Multigrid Solvers in Python 2021-04-17luigipublic Workflow mgmgt + task scheduling + dependency resolution. 2021-04-17libpython-staticpublic General purpose programming language 2021-04-17dropboxpublic Official Dropbox API Client 2021-04-17s3fspublic Convenient Filesystem interface over S3 2021-04-17furlpublic URL manipulation made simple. 2021-04-17sympypublic Python library for symbolic mathematics 2021-04-15spyderpublic The Scientific Python Development Environment 2021-04-15sqlalchemypublic Database Abstraction Library. 2021-04-15rtreepublic R-Tree spatial index for Python GIS 2021-04-15pandaspublic High-performance, easy-to-use data structures and data analysis tools. 2021-04-15poetrypublic Python dependency management and packaging made easy 2021-04-15freetdspublic FreeTDS is a free implementation of Sybase's DB-Library, CT-Library, and ODBC libraries 2021-04-15ninjapublic A small build system with a focus on speed 2021-04-15cythonpublic The Cython compiler for writing C extensions for the Python language 2021-04-15conda-package-handlingpublic Create and extract conda packages of various formats 2021-04-15condapublic OS-agnostic, system-level binary package and environment manager. 2021-04-15colorlogpublic Log formatting with colors! 2021-04-15bitarraypublic efficient arrays of booleans -- C extension 2021-04-15

Reverse Dependencies of apache-airflow

Clickhouse Icon

Digital recorder that transcribes to text. The following projects have a declared dependency on apache-airflow:

Clickhouse Download

acryl-datahub — A CLI to work with DataHub metadata

AGLOW — AGLOW: Automated Grid-enabled LOFAR Workflows

aiflow — AI Flow, an extend operators library for airflow, which helps AI engineer to write less, reuse more, integrate easily.

aircan — no summary

airflow-add-ons — Airflow extensible opertators and sensors

airflow-aws-cost-explorer — Apache Airflow Operator exporting AWS Cost Explorer data to local file or S3

airflow-bigquerylogger — BigQuery logger handler for Airflow

airflow-bio-utils — Airflow utilities for biological sequences

airflow-cdk — Custom cdk constructs for apache airflow

airflow-clickhouse-plugin — airflow-clickhouse-plugin - Airflow plugin to execute ClickHouse commands and queries

airflow-code-editor — Apache Airflow code editor and file manager

airflow-cyberark-secrets-backend — An Airflow custom secrets backend for CyberArk CCP

airflow-dbt — Apache Airflow integration for dbt

airflow-declarative — Airflow DAGs done declaratively

airflow-diagrams — Auto-generated Diagrams from Airflow DAGs.

airflow-ditto — An airflow DAG transformation framework

airflow-django — A kit for using Django features, like its ORM, in Airflow DAGs.

airflow-docker — An opinionated implementation of exclusively using airflow DockerOperators for all Operators

airflow-dvc — DVC operator for Airflow

airflow-ecr-plugin — Airflow ECR plugin

airflow-exporter — Airflow plugin to export dag and task based metrics to Prometheus.

airflow-extended-metrics — Package to expand Airflow for custom metrics.

airflow-fs — Composable filesystem hooks and operators for Airflow.

airflow-gitlab-webhook — Apache Airflow Gitlab Webhook integration

airflow-hdinsight — HDInsight provider for Airflow

airflow-imaging-plugins — Airflow plugins to support Neuroimaging tasks.

airflow-indexima — Indexima Airflow integration

airflow-notebook — Jupyter Notebook operator for Apache Airflow.

airflow-plugin-config-storage — Inject connections into the airflow database from configuration

airflow-plugin-glue-presto-apas — An Airflow Plugin to Add a Partition As Select(APAS) on Presto that uses Glue Data Catalog as a Hive metastore.

airflow-prometheus — Modern Prometheus exporter for Airflow (based on robinhood/airflow-prometheus-exporter)

airflow-prometheus-exporter — Prometheus Exporter for Airflow Metrics

airflow-provider-fivetran — A Fivetran provider for Apache Airflow

airflow-provider-great-expectations — An Apache Airflow provider for Great Expectations

airflow-provider-hightouch — Hightouch Provider for Airflow

airflow-queue-stats — An airflow plugin for viewing queue statistics.

airflow-spark-k8s — Airflow integration for Spark On K8s

airflow-spell — Apache Airflow integration for spell.run

airflow-tm1 — A package to simplify connecting to the TM1 REST API from Apache Airflow

airflow-util-dv — no summary

airflow-waterdrop-plugin — A FastAPI Middleware of Apollo(Config Server By CtripCorp) to get server config in every request.

airflow-windmill — Drag'N'Drop Web Frontend for Building and Managing Airflow DAGs

airflowdaggenerator — Dynamically generates and validates Python Airflow DAG file based on a Jinja2 Template and a YAML configuration file to encourage code re-usability

airkupofrod — Takes a deployment in your kubernetes cluster and turns its pod template into a KubernetesPodOperator object.

airtunnel — airtunnel – tame your Airflow!

apache-airflow-backport-providers-amazon — Backport provider package apache-airflow-backport-providers-amazon for Apache Airflow

apache-airflow-backport-providers-apache-beam — Backport provider package apache-airflow-backport-providers-apache-beam for Apache Airflow

apache-airflow-backport-providers-apache-cassandra — Backport provider package apache-airflow-backport-providers-apache-cassandra for Apache Airflow

apache-airflow-backport-providers-apache-druid — Backport provider package apache-airflow-backport-providers-apache-druid for Apache Airflow

apache-airflow-backport-providers-apache-hdfs — Backport provider package apache-airflow-backport-providers-apache-hdfs for Apache Airflow

apache-airflow-backport-providers-apache-hive — Backport provider package apache-airflow-backport-providers-apache-hive for Apache Airflow

apache-airflow-backport-providers-apache-kylin — Backport provider package apache-airflow-backport-providers-apache-kylin for Apache Airflow

apache-airflow-backport-providers-apache-livy — Backport provider package apache-airflow-backport-providers-apache-livy for Apache Airflow

apache-airflow-backport-providers-apache-pig — Backport provider package apache-airflow-backport-providers-apache-pig for Apache Airflow

apache-airflow-backport-providers-apache-pinot — Backport provider package apache-airflow-backport-providers-apache-pinot for Apache Airflow

apache-airflow-backport-providers-apache-spark — Backport provider package apache-airflow-backport-providers-apache-spark for Apache Airflow

apache-airflow-backport-providers-apache-sqoop — Backport provider package apache-airflow-backport-providers-apache-sqoop for Apache Airflow

apache-airflow-backport-providers-celery — Backport provider package apache-airflow-backport-providers-celery for Apache Airflow

apache-airflow-backport-providers-cloudant — Backport provider package apache-airflow-backport-providers-cloudant for Apache Airflow

apache-airflow-backport-providers-cncf-kubernetes — Backport provider package apache-airflow-backport-providers-cncf-kubernetes for Apache Airflow

apache-airflow-backport-providers-databricks — Backport provider package apache-airflow-backport-providers-databricks for Apache Airflow

apache-airflow-backport-providers-datadog — Backport provider package apache-airflow-backport-providers-datadog for Apache Airflow

apache-airflow-backport-providers-dingding — Backport provider package apache-airflow-backport-providers-dingding for Apache Airflow

apache-airflow-backport-providers-discord — Backport provider package apache-airflow-backport-providers-discord for Apache Airflow

apache-airflow-backport-providers-docker — Backport provider package apache-airflow-backport-providers-docker for Apache Airflow

apache-airflow-backport-providers-elasticsearch — Backport provider package apache-airflow-backport-providers-elasticsearch for Apache Airflow

apache-airflow-backport-providers-email — Back-ported airflow.providers.email.* package for Airflow 1.10.*

apache-airflow-backport-providers-exasol — Backport provider package apache-airflow-backport-providers-exasol for Apache Airflow

apache-airflow-backport-providers-facebook — Backport provider package apache-airflow-backport-providers-facebook for Apache Airflow

apache-airflow-backport-providers-google — Backport provider package apache-airflow-backport-providers-google for Apache Airflow

apache-airflow-backport-providers-grpc — Backport provider package apache-airflow-backport-providers-grpc for Apache Airflow

apache-airflow-backport-providers-hashicorp — Backport provider package apache-airflow-backport-providers-hashicorp for Apache Airflow

apache-airflow-backport-providers-jdbc — Backport provider package apache-airflow-backport-providers-jdbc for Apache Airflow

apache-airflow-backport-providers-jenkins — Backport provider package apache-airflow-backport-providers-jenkins for Apache Airflow

apache-airflow-backport-providers-jira — Backport provider package apache-airflow-backport-providers-jira for Apache Airflow

apache-airflow-backport-providers-microsoft-azure — Backport provider package apache-airflow-backport-providers-microsoft-azure for Apache Airflow

apache-airflow-backport-providers-microsoft-mssql — Backport provider package apache-airflow-backport-providers-microsoft-mssql for Apache Airflow

apache-airflow-backport-providers-microsoft-winrm — Backport provider package apache-airflow-backport-providers-microsoft-winrm for Apache Airflow

apache-airflow-backport-providers-mongo — Backport provider package apache-airflow-backport-providers-mongo for Apache Airflow

apache-airflow-backport-providers-mysql — Backport provider package apache-airflow-backport-providers-mysql for Apache Airflow

apache-airflow-backport-providers-neo4j — Backport provider package apache-airflow-backport-providers-neo4j for Apache Airflow

apache-airflow-backport-providers-odbc — Backport provider package apache-airflow-backport-providers-odbc for Apache Airflow

apache-airflow-backport-providers-openfaas — Backport provider package apache-airflow-backport-providers-openfaas for Apache Airflow

apache-airflow-backport-providers-opsgenie — Backport provider package apache-airflow-backport-providers-opsgenie for Apache Airflow

apache-airflow-backport-providers-oracle — Backport provider package apache-airflow-backport-providers-oracle for Apache Airflow

apache-airflow-backport-providers-pagerduty — Backport provider package apache-airflow-backport-providers-pagerduty for Apache Airflow

apache-airflow-backport-providers-papermill — Backport provider package apache-airflow-backport-providers-papermill for Apache Airflow

apache-airflow-backport-providers-plexus — Backport provider package apache-airflow-backport-providers-plexus for Apache Airflow

apache-airflow-backport-providers-postgres — Backport provider package apache-airflow-backport-providers-postgres for Apache Airflow

apache-airflow-backport-providers-presto — Backport provider package apache-airflow-backport-providers-presto for Apache Airflow

apache-airflow-backport-providers-qubole — Backport provider package apache-airflow-backport-providers-qubole for Apache Airflow

apache-airflow-backport-providers-redis — Backport provider package apache-airflow-backport-providers-redis for Apache Airflow

apache-airflow-backport-providers-salesforce — Backport provider package apache-airflow-backport-providers-salesforce for Apache Airflow

apache-airflow-backport-providers-samba — Backport provider package apache-airflow-backport-providers-samba for Apache Airflow

apache-airflow-backport-providers-segment — Backport provider package apache-airflow-backport-providers-segment for Apache Airflow

apache-airflow-backport-providers-sendgrid — Backport provider package apache-airflow-backport-providers-sendgrid for Apache Airflow

apache-airflow-backport-providers-sftp — Backport provider package apache-airflow-backport-providers-sftp for Apache Airflow

apache-airflow-backport-providers-singularity — Backport provider package apache-airflow-backport-providers-singularity for Apache Airflow

apache-airflow-backport-providers-slack — Backport provider package apache-airflow-backport-providers-slack for Apache Airflow

apache-airflow-backport-providers-snowflake — Backport provider package apache-airflow-backport-providers-snowflake for Apache Airflow