Your databases are hosted in the cloud – either in VMs or in a database-as-a-service – and you’re having a performance emergency that’s lasted for more than a day. Queries are slow, customers are getting frustrated, and you’re just not able to get a fix in quickly. Just ask management if they want to throw hardware at it.
Data analytics has become one of the powerful domains in the world of data science. An enormous amount of data is being generated by each organization in every sector. Computer science has found solutions to store and process this data in a smart way through a distributed file system. One such example is Azure Data Lake. It uses the Hadoop Distributed File System, and to perform analytics on this data, Azure Data Lake storage is integrated with Azure Data Analytics Service and HDInsight. In this article, Suhas Pande will explain how to store data using Azure Data Lake and how to perform data analysis on it using U-SQL, a big data SQL and C# language.
Identities, the 'accounts' by which Cloud and Web users identify themselves, are tricky to manage, and tiresome for the users. Cloud services such as Office 365 have their main use in large organisations and so there have to be easy ways for system administrators to maintain them. Microsoft provide three alternative strategies; Cloud identities, Synced identities and federated identities. What is the differences between them, and which should you choose?
Should you be planning to move from Exchange to Office 365? If so, why? What sort of license should you get, and should you use cloud identities or federated identities for your users?
A critical part of any DBA's role is implementing the systems that will improve in the long term their organization's guardianship, use and understanding of its data. Too often, however, this gets lost in the fog of immediate and urgent tasks. Gareth Marlow explains why he believes Cloud services will play an increasingly prominent role in helping DBAs achieve their strategic goals.
Now, Internet-hosted distributed applications with connectivity to internal applications—often referred as Software plus Services (S+S)—are gaining popularity. Organizations are leveraging datacenters hosted by third parties to alleviate concerns about hardware, software, reliability, and scalability. These are just some of the new architecture trends that help you build interoperable applications that scale, reduce capital expenditure, and improve reliability. Cloud computing offers many of these benefits.
Web Services has been a hot topic for a number of years now, but what, you may wonder, are these Data Services everyone's talking about lately? As the architecture of Web applications has changed and matured (with the popularity of Rich Internet Applications [RIAs], for example), there has been an increased awareness of the value of exposing raw data, minus any interface or formatting, to any service or application that wants to consume it.