Microsoft Azure
Microsoft Azure is a cloud based service platform provided by Microsoft. They are one of the main cloud provider, and provide service from creation to deployment of an infrastructure, system or application through their own infrastructure.
- Learn more
- Official website
Related articles
CDP part 1: introduction to end-to-end data lakehouse architecture with CDP
Categories: Cloud Computing, Data Engineering, Infrastructure | Tags: Data Engineering, Hortonworks, Iceberg, AWS, Azure, Big Data, Cloud, Cloudera, CDP, Cloudera Manager, Data Warehouse
Cloudera Data Platform (CDP) is a hybrid data platform for big data transformation, machine learning and data analytics. In this series we describe how to build and use an end-to-end big data…
By Stephan BAUM
Jun 8, 2023
Data platform requirements and expectations
Categories: Big Data, Infrastructure | Tags: Data Engineering, Data Governance, Data Analytics, Data Hub, Data Lake, Data lakehouse, Data Science
A big data platform is a complex and sophisticated system that enables organizations to store, process, and analyze large volumes of data from a variety of sources. It is composed of several…
By David WORMS
Mar 23, 2023
Databricks logs collection with Azure Monitor at a Workspace Scale
Categories: Cloud Computing, Data Engineering, Adaltas Summit 2021 | Tags: Metrics, Monitoring, Spark, Azure, Databricks, Log4j
Databricks is an optimized data analytics platform based on Apache Spark. Monitoring Databricks plateform is crucial to ensure data quality, job performance, and security issues by limiting access to…
By Claire PLAYE
May 10, 2022
Adaltas Summit 2021, 2nd edition in corsica
Categories: Adaltas Summit 2021, Learning | Tags: Ansible, Hadoop, Spark, Azure, Blockchain, Deep Learning, Docker, Terraform, Kubernetes, Node.js
For its second edition, the whole Adaltas crew is gathering in Corsica for a whole week with 2 days dedicated to technology the 23rd and the 24th of september 2021. After a year and a half of sanitary…
By David WORMS
Sep 21, 2021
Self-Paced training from Databricks: a guide to self-enablement on Big Data & AI
Categories: Data Engineering, Learning | Tags: Cloud, Data Lake, Databricks, Delta Lake, MLflow
Self-paced trainings are proposed by Databricks inside their Academy program. The price is $ 2000 USD for unlimited access to the training courses for a period of 1 year, but also free for customers…
May 26, 2021
Find your way into data related Microsoft Azure certifications
Categories: Cloud Computing, Data Engineering | Tags: Data Governance, Azure, Data Science
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
Connecting to ADLS Gen2 from Hadoop (HDP) and Nifi (HDF)
Categories: Big Data, Cloud Computing, Data Engineering | Tags: NiFi, Hadoop, HDFS, Authentication, Authorization, Azure, Azure Data Lake Storage (ADLS), OAuth2
As data projects built in the Cloud are becoming more and more frequent, a common use case is to interact with Cloud storage from an existing on premise Big Data platform. Microsoft Azure recently…
Nov 5, 2020
Importing data to Databricks: external tables and Delta Lake
Categories: Data Engineering, Data Science, Learning | Tags: Parquet, AWS, Amazon S3, Azure Data Lake Storage (ADLS), Databricks, Delta Lake, Python
During a Machine Learning project we need to keep track of the training data we are using. This is important for audit purposes and for assessing the performance of the models, developed at a later…
May 21, 2020
Snowflake, the Data Warehouse for the Cloud, introduction and tutorial
Categories: Business Intelligence, Cloud Computing | Tags: Cloud, Data Lake, Data Science, Data Warehouse, Snowflake
Snowflake is a SaaS-based data-warehousing platform that centralizes, in the cloud, the storage and processing of structured and semi-structured data. The increasing generation of data produced over…
Apr 7, 2020
MLflow tutorial: an open source Machine Learning (ML) platform
Categories: Data Engineering, Data Science, Learning | Tags: AWS, Azure, Databricks, Deep Learning, Deployment, Machine Learning, MLflow, MLOps, Python, Scikit-learn
Introduction and principles of MLflow With increasingly cheaper computing power and storage and at the same time increasing data collection in all walks of life, many companies integrated Data Science…
Mar 23, 2020
Cloudera CDP and Cloud migration of your Data Warehouse
Categories: Big Data, Cloud Computing | Tags: Azure, Cloudera, Data Hub, Data Lake, Data Warehouse
While one of our customer is anticipating a move to the Cloud and with the recent announcement of Cloudera CDP availability mi-september during the Strata conference, it seems like the appropriate…
By David WORMS
Dec 16, 2019
Should you move your Big Data and Data Lake to the Cloud
Categories: Big Data, Cloud Computing | Tags: DevOps, AWS, Azure, Cloud, CDP, Databricks, GCP
Should you follow the trend and migrate your data, workflows and infrastructure to GCP, AWS and Azure? During the Strata Data Conference in New-York, a general focus was put on moving customer’s Big…
Dec 9, 2019
Google Cloud Summit Paris Notes
Categories: Events | Tags: AWS, Azure, Cloud, GCP, Kubernetes, On-premises
Google organized its yearly Summit edition 2019 in Paris on the 18th of June. This year’s event was the biggest yet in Paris, which reflect Google’s commitment to position itself in the French market…
Jun 26, 2019
Introduction to Cloudera Data Science Workbench
Categories: Data Science | Tags: Azure, Cloudera, Docker, Git, Kubernetes, Machine Learning, MLOps, Notebook
Cloudera Data Science Workbench is a platform that allows Data Scientists to create, manage, run and schedule data science workflows from their browser. Thus it enables them to focus on their main…
Feb 28, 2019
Running Enterprise Workloads in the Cloud with Cloudbreak
Categories: Big Data, Cloud Computing, DataWorks Summit 2018 | Tags: Cloudbreak, Operation, Hadoop, AWS, Azure, GCP, HDP, OpenStack
This article is based on Peter Darvasi and Richard Doktorics’ talk Running Enterprise Workloads in the Cloud at the DataWorks Summit 2018 in Berlin. It presents Hortonworks’ automated deployment tool…
May 28, 2018
Kubernetes Storage Primitives for Stateful Workloads
Categories: Cloud Computing, Containers Orchestration, Open Source Summit Europe 2017 | Tags: Container Storage Interface (CSI), PVC, Azure, Docker, GCE, Kubernetes, Storage
This article is based on the presentation “Introduction to Kubernetes Storage Primitives for Stateful Workloads” from the OSS Convention Prague 2017 by the {Code} team. So, let’s start, what is…
Oct 28, 2017
Cloudera Sessions Paris 2017
Categories: Big Data, Events | Tags: Altus, CDSW, SDX, EC2, Azure, Cloudera, CDH, Data Science, PaaS
Adaltas was at the Cloudera Sessions on October 5, where Cloudera showcased their new products and offerings. Below you’ll find a summary of what we witnessed. Note: the information were aggregated in…
Oct 16, 2017
Node.js is now integrated to the Microsoft Azure platform
Categories: Cloud Computing, Tech Radar | Tags: Linux, Azure, Cloud, Node.js
Node is now a first class citizen in the Microsoft Azure cloud environment alongside .Net, Java and PHP. This integration is the logical consequence of Microsoft’s involvement in the development of…
By David WORMS
Dec 11, 2011
