18 июля 2019 г.
Cloud data lakes solve a foundational problem for big data analytics—providing secure, scalable storage for data that traditionally lives in separate data silos. Data lakes were designed from the start to break down data barriers and jump start big data analytics efforts.
21 марта 2019 г.
Learn the latest integration in Azure Data Factory with Azure Data Lake Storage Gen2 and Azure Data Explorer which enables you to meet the advanced needs of your analytics workloads by leveraging these services.
14 февраля 2019 г.
On February 7, 2019 we announced the general availability of Azure Data Lake Storage (ADLS) Gen2. Azure is now the only cloud provider to offer a no-compromise cloud storage solution that is fast, secure, massively scalable, cost-effective, and fully capable of running the most demanding production workloads.
4 февраля 2019 г.
Azure Data Factory adds new connectors for data ingestion into Azure to empower mordern data warehouse solutions and data-driven SaaS apps: Cosmos DB MongoDB API, Google Cloud Storage, Amazon S3, MongoDB, REST, and more.
6 декабря 2018 г.
Since we announced the limited public preview of Azure Data Lake Storage (ADLS) Gen2 in June, the response has been resounding. Customers participating in the ADLS Gen2 preview have directly benefitted from the scale, performance, security, manageability, and cost-effectiveness inherent in the ADLS Gen2 offering.
12 сентября 2018 г.
It’s been a little more than two months since we launched Azure Data Lake Storage Gen2, we’re thrilled and overwhelmed by the response we’ve received from customers and partners alike.
28 июня 2018 г.
On June 27, 2018 we announced the preview of Azure Data Lake Storage Gen2 the only data lake designed specifically for enterprises to run large scale analytics workloads in the cloud. Azure Data Lake Storage Gen2 takes core capabilities from Azure Data Lake Storage Gen1 such as a Hadoop compatible file system, Azure Active Directory and POSIX based ACLs and integrates them into Azure Blob Storage.
27 июня 2018 г.
Today, we are introducing new capabilities in Azure that make it easier to deliver, build, and manage powerful analytics and AI solutions.