Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data.

Hadoop 319

Hadoop Azure Analytics Analytics 319

Data Science 101

MARCH 7, 2020

The Cloud Data Science world is keeping busy. Azure HDInsight now supports Apache analytics projects This announcement includes Spark, Hadoop, and Kafka. The post Cloud Data Science 10 appeared first on Data Science 101. Lots of happenings this week. I might have to join in the future.

Cloud Data 118

Cloud Data Data Science Azure Hadoop 118

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Smart Data Collective

APRIL 8, 2020

The Teradata software is used extensively for various data warehousing activities across many industries, most notably in banking. The company works consistently to enhance its business intelligence solutions through innovative new technologies including Hadoop-based services. Big data and data warehousing.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Smart Data Collective

APRIL 24, 2023

Innovations in the early 20th century changed how data could be used. Google’s Hadoop allowed for unlimited data storage on inexpensive servers, which we now call the Cloud. Data brokers have over 3,000 profiles on each individual, including personal information like political preferences and hobbies.

Big Data 119

Big Data Big Data Hadoop Azure 119

Data Science Blog

MAY 15, 2023

Synapse Analytics umfasst eine Data Lakehouse-Funktion, die das Beste aus Data Lakes und Data Warehouses kombiniert, um eine flexible und skalierbare Lösung für die Speicherung und Verarbeitung von Daten zu bieten. Apache Iceberg ist auf AWS, Azure und Google Cloud Platform verfügbar.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52