Quick Guide to Database Technologies
Sisense | MongoDB
by Eran Levy
3y ago
Blog Database technology has seen rapid developments in the past two decades. Online Analytical Processing (OLAP), which gained prominence in the 1990s, gradually lost altitude in favor of in-memory databases at the start of the 21st century. However, the requirements of modern business intelligence have set a challenge that in-memory databases will have a very difficult time responding to. This, in turn, has brought on the next generation of databases and querying – In-Chip® analytics. This newly developed technology makes use of the CPU, RAM and disk storage in innovative ways in order to ta ..read more
Visit website
How to Streamline Query Times to Handle Billions of Records
Sisense | MongoDB
by Kevin Ruppel
3y ago
Blog Here at Sisense, we love a challenge, so when a client comes to us and tells us they need to find a way to run queries on billions of records without this slowing them down, our ears perk up and we leap at the chance to find a solution. In fact, that’s how we recently found ourselves testing a billion transactional records and three million dimensional records – totaling a whopping 500GB of data – with 100 concurrent users and up to 38 concurrent queries, with a total setup time of just two hours… and an average query time of 0.1 seconds! But wait! I’m getting ahead of myself. Let’s start ..read more
Visit website
Your MongoDB and BI Woes Explained Through the Summer of Love
Sisense | MongoDB
by Shelby Blitz
3y ago
Blog 2017 marks is the 50th anniversary of the infamous Summer of Love: the moment that free-wheelin’, flower-powered, psychedelic, hippy culture exploded onto the scene, as thousands flocked to the Monterey Pop Festival in California to see icons like Janis Joplin, Jimi Hendrix, the Beatles, The Who, Jefferson Airplane, and the Grateful Dead rock the stage. It was a major moment in music history… but let’s spare a thought for the plight of the organizers of that famous event. These guys had picked out the most incredible bands and musicians of the day, but can you even imagine trying to manag ..read more
Visit website
From Operations to Insights: Business Analytics Meets NoSQL
Sisense | MongoDB
by Sisense
3y ago
Blog The following is an excerpt from our recent webinar: From Operations to Insights with MongoDB. You can watch the full recording here. Many people love NoSQL databases because they can throw their data into them without a care (almost) and let the NoSQL database sort out the storage. Writes and reads of “lumps” of data can be blazingly fast, making them favorite tools for many developers seeking performance for their applications. But analytics? If you’ve thrown in your data just anyhow, how reasonable is it to expect any sort of orderly analysis afterwards? Trends and patterns may be easi ..read more
Visit website
Sisense 5.7 is Out: Say Hello to Machine Data, MongoDB
Sisense | MongoDB
by Eran Levy
3y ago
Blog After some hectic weeks and a very tired development team, we’re proud to announce that Sisense version 5.7 is now officially out. Existing customers can update their version independently or contact our Success Management team. In addition to some major improvements to stability and functionality, this latest edition of our award-winning business intelligence software comes with two brand new connectors that present some exciting possibilities for companies that work with machine data or the MongoDB database. Turn your machine data into an integral part of your business intelligence str ..read more
Visit website

Follow Sisense | MongoDB on FeedSpot

Continue with Google
Continue with Apple
OR