Articles published in 2021
Find your way into data related Microsoft Azure certifications
Categories: Cloud Computing, Data Engineering | Tags: Data Governance, AWS, Azure Data Lake Storage (ADLS), Azure Data Catalog, Azure Data Factory, Data Science, GCP, Azure
Microsoft Azure has certification paths for many technical job roles such as developer, Data Engineer, Data Scientist and solution architect among others. Each of these certifications consists of…
Apr 14, 2021
Bridging the DBnomics Swagger/OpenAPI schema with GraphQL
Categories: DevOps & SRE, Front End | Tags: Data Engineering, Database, Front-end, Gatsby, GraphQL, JAMstack, JavaScript, Network, React.js, REST, API, Node.js, Schema
While redacting a long and fastidious document today, I came across DBnomics, an open platform federating economic datasets. Browsing its website and APIs, I found their OpenAPI schema (aka Swagger…
By David WORMS
Apr 8, 2021
Apache Liminal: when MLOps meets GitOps
Categories: Big Data, Containers Orchestration, Data Engineering, Data Science, Tech Radar | Tags: Data Engineering, Deep Learning, CI/CD, Data Science, Deployment, Docker, GitOps, Kubernetes, Machine Learning, MLOps, Open source, Python, TensorFlow
Apache Liminal is an open-source software which proposes a solution to deploy end-to-end Machine Learning pipelines. Indeed it permits to centralize all the steps needed to construct Machine Learning…
Mar 31, 2021
TensorFlow Extended (TFX): the components and their functionalities
Categories: Big Data, Data Engineering, Data Science, Learning | Tags: Beam, Data Engineering, Deep Learning, Pipeline, CI/CD, Data Science, Deployment, Machine Learning, MLOps, Open source, Python, TensorFlow
Putting Machine Learning (ML) and Deep Learning (DL) models in production certainly is a difficult task. It has been recognized as more failure-prone and time consuming than the modeling itself, yet…
Mar 5, 2021
Storage size and generation time in popular file formats
Categories: Data Engineering, Data Science | Tags: Avro, HDFS, Hive, MapReduce, ORC, Automation, Batch processing, Big Data, Data structures, JSON, Metrics, Hadoop, Parquet, Data Lake, Data Warehouse, File Format
Choosing an appropriate file format is essential, whether your data transits on the wire or is stored at rest. Each file format comes with its own advantages and disadvantages. We covered them in a…
Mar 22, 2021
JS monorepos in prod 4: unit testing with Mocha and Should.js
Categories: DevOps & SRE, Front End | Tags: Monorepo, Node.js
Unit testing is essential for every long-term project and allows you to pull down functionalities of your code into isolated testable units. Indeed the main goal of a unit test is to verify if an…
By David WORMS
Feb 25, 2021
JS monorepos in prod 3: commit enforcement and changelog generation
Categories: DevOps & SRE, Front End | Tags: Gatsby, Git, JavaScript, NPM, Unit tests, CI/CD, Monorepo, Node.js, Release and features
Conventional Commits introduces a structured format for commit messages. It standardizes the messages among all the contributors. This makes them more readable and easy to automate. It simplifies the…
By David WORMS
Feb 2, 2021
JS monorepos in prod 2: project versioning and publishing
Categories: DevOps & SRE, Front End | Tags: Gatsby, Git, JavaScript, NPM, Unit tests, CI/CD, GitOps, Monorepo, Node.js, Release and features
One great advantage of a monorepo is to maintain coherent versions between packages and to automatize the version creation and the publication of packages. This article covers the versioning and…
By David WORMS
Jan 11, 2021
JS monorepos in prod 1: project initialization
Categories: DevOps & SRE, Front End | Tags: Gatsby, Git, JavaScript, NPM, GitOps, Monorepo, Node.js, Release and features
Every project journey begins with the step of initialization. When your overall project is composed of multiple projects, it is tempting to create one Git repository per project. In Node.js, a project…
By David WORMS
Jan 5, 2021