Business intelligence and data warehousing tips and trends for database administrators
Big data applications do not need the same infrastructure support teams as do more common applications. As the enterprise embraces big data, management assumes that staff sizes will decrease. What should be done with those unneeded technologists? One answer: convert them into technology consultants that collaborate and coordinate with the lines of business. In other words, give them customer-facing roles.
As more and more companies look to the cloud for their data storage needs, the same questions are being asked over and over again: if a security breech were to occur, who would be responsible and how much of a guarantee could the provider give us that our data would be safe from prying eyes.
Former AOL database architect and independent database consultant John Schultz benchmarks basic MongoDB from MongoDB, Inc. and TokuMX, the Tokutek high-performance distribution of MongoDB, to see which one performs best at scale. Focusing on a number of important performance characteristics — such as storage I/O and database insertion rates – Schultz tracked the degradation in performance for both products as database size increased. Here are his results.
Power BI is familiar, intuitive, cloud based self-service BI (Business Intelligence) solution for all your data needs in your very own Excel. It includes different tools for data discovery, analysis and visualization. Furthermore, Power BI integrates with Office 365 to share, collaborate and much more.
Load tests give the database administrator (DBA) quite a lot of valuable information and may make the difference between poor and acceptable application performance. But what about a big data environment? Are there any gotchas or traps associated with big data?
While using a custom SSIS-based project to upload content of an arbitrarily chosen table from an on-premise SQL Server database to Azure PaaS-based SQL Database provides the most flexibility its inherent complexity might not be justified in more simplistic scenarios. Marcin Policht presents an alternative approach that addresses this concern by employing the bcp utility, which not only eliminates the need for any custom development, but also rivals SSIS in terms of its data transfer efficiency.
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