2018년 7월 2일 월요일
Azure Databricks provides a fast, easy, and collaborative Apache Spark-based analytics platform to accelerate and simplify the process of building Big Data and AI solutions that drive the business forward, all backed by industry leading SLAs.
2018년 5월 30일 수요일
Data is growing at an astounding rate, with an estimated 2.5 quintillion bytes being created everyday. Data analysts predict that by 2020, the world’s collected data will quadruple.
2018년 5월 10일 목요일
Microsoft will have a major presence at Spark + AI Summit, 2018, in San Francisco, the premier event for the Apache Spark community. Rohan Kumar, Corporate Vice President of Azure Data, will deliver…
2018년 5월 8일 화요일
Azure Stream Analytics is a serverless PaaS service in Azure to run real-time analytics on fast moving streams of data. Today, we are excited to announce several new features in Azure Stream Analytics.
2018년 4월 30일 월요일
Azure SQL Data Warehouse (SQL DW) is a fast, flexible and secure, cloud data warehouse tuned for running complex queries fast and across petabytes of data.
2018년 4월 10일 화요일
Data science and machine learning can be applied to solve many common business scenarios, yet there are many barriers preventing organizations from adopting them. Collaboration across key data…
2018년 3월 22일 목요일
The Event Hubs team is happy to announce the general availability of our integration with Apache Spark. Now, Event Hubs users can use Spark to easily build end-to-end streaming applications.
2018년 3월 22일 목요일
Getting the most out of your data is critical for any business in a competitive environment. Businesses need the ability to get the right data into the right hands at the right time. Azure Databricks…
2018년 2월 13일 화요일
Over the past decade, Microsoft has partnered with the National Science Foundation (NSF) on three separate programs, first in 2010, and more recently through a commitment of $6M in cloud credits across two NSF supported data science programs – with the Big Data Regional Innovation Hubs and as part of the NSF BigData solicitation.
2018년 1월 31일 수요일
Today we’re pleased to announce three new Time Series Insights (TSI) explorer capabilities that we think our users are going to love.