Vast Data Intentionally Blurs The Line Between Storage And Database
Depending on how you look at it, a database is a kind of sophisticated storage system or storage is a kind of a reduction of a database. …
Depending on how you look at it, a database is a kind of sophisticated storage system or storage is a kind of a reduction of a database. …
If relational databases had just worked at scale to begin with, the IT sector would be a whole lot more boring and we wouldn’t be having a conversation with Andrew Fikes, the vice president and Engineering Fellow at search engine, application, and cloud computing giant Google who has been instrumental in the creation of many of its databases and datastores since joining the company in 2001. …
To get straight to the point: nobody wants to have large grain snapshots of data for any dataset that is actually comprised of a continuous stream of data points. …
Spark has grown rapidly over the past several years to become a significant tool in the big data world. …
While much of the work at Baidu we have focused on this year has centered on the Chinese search giant’s deep learning initiatives, many other critical, albeit less bleeding edge applications present true big data challenges. …
Here’s an image for you. There is no such thing as a data lake. …
There is a disconnect between the database engines that underpin both relational databases and the SQL front ends that have been grafted onto Hadoop analytics tools and the underlying hardware on which these databases run. …
The name might be short for Not Only SQL, but to be a proper database that can be used by normal enterprises and not just by hyperscalers with their fleets of PhDs, any database, whether it is a relational or NoSQL, has to be able to support the Structured Query Language that has been associated with relational databases from day one. …
All Content Copyright The Next Platform