Skip to main content

Featured post

Golf Solutions Designed at Barnham Broom Golf Club in Norfolk

 Many sports tend to be biassed towards one sex or another. For example, football is a sport dominated by men and does not become much more masculine than rugby! On the other side of the fence, netball definitely falls into the women's category. However, there are some sports that share gender gracefully, which appeal to both men and women. Reddit live streaming Golf is undoubtedly one of these sports and has no age limits. Spread across courses in the UK you will find some unlikely groups of people bound by their love for this great outdoor sport. Some will play every day, while others will only play on the weekends, perhaps as a way to relieve the stress of a difficult week at the office. No golfer tends to join a club and membership packages vary widely in price. Most golf clubs simply offer standard packages with the assumption that one size fits all and offers a bit of flexibility. However, some offer more realistic membership packages, considering how much you will be playing...
Post a Comment

What is Exasol?

Data analytics on very large sets of data can be frustrating in terms of performance. Many Business Intelligence applications like Tableau can annoyingly get slow when you are trying to perform real time analysis on large data sets. Solution is usually consolidating and thus reducing the size of the data but this requires extra development and scripts to maintain plus, you lose the granularity of the data.

A good solution to this problem is EXASOL, worlds fastest in-memory, high-performance (Massive Parallel Processing or MPP), analytic database which is designed for big data analytics. EXASOL makes large volumes of data analysis in rel-time possible, which helps you to accelerate your Business Intelligence and Analytics applications. EXASOL is ideally suited for real-time big data reporting, analysis, and advanced analytics.

EXASOL deploys two techniques together : Massive Parallel Processing (MPP) which enables clusters of hardware running EXASOL to achieve the task and in-memory analytics. The database also deploys columnar data compression and storage.

Like a standard RDBMS, EXASOL uses a standard SQL interfaces avoiding the trap of NoSQL skill shortages and easy compatibility with pre-existing applications and data structures.

In below video, you can see how EXASOL can speed up Tableau. The example shows how data residing in two large tables (2.5 billion and 24 billion rows) can be analyzed in Tableau. Tableau has a connector to EXASOL.



EXASOLs in-memory technology enables large amounts of data to be processed in RAM which is significantly faster than processing data residing on hard disk. EXASOL also deploys column-based storage and compression to reduce the number of I/O operations and amount of data needed for processing in main memory and accelerates analytical performance. And Massively Parallel Processing (MPP) enables queries to be distributed across all nodes in a cluster using optimized, parallel algorithms that process data locally in each node’s main memory. The EXASOL intelligent database is self-optimizing and tuning-free. It gives you more time to focus on analytics and insights, not administration.

EXASOL also enables in database analytics. It supports R, Python, Java, Lua or your preferred programming language to build analytic applications to unearth key insights.


Labels:

Comments

Post a Comment

Popular posts from this blog

What is JEDOX?

Jedox is a Self Service Business Intelligence, Analytics and Performance Management platform developed by Jedox AG based in Freiburg im Breisgau/Germany. With a modular structure, JEDOX platform uses Microsoft Excel as its user interface on the one hand and a Jedox-specific spreadsheet on the other, both of which can be used in all common browsers. Jedox is unique in a sense that while most business intelligence solutions try to replace MS Excel based analysis and planning process entirely with their platform (and usually fails to do so because at one point things are exported to Excel), Jedox puts the powerful MS Excel sheet in the heart of their solution. By doing this they provide a familiar interface to users while enhancing business intelligence capabilities far beyond MS Excel. This is actually what JEDOX offers in a nutshell : Excel Plus. The modular architecture of JEDOX has a cell-oriented, multi-dimensional in-memory OLAP server that has been especially designed for...
Post a Comment
Read more

The Black Death and how it changed Europe

 In the dark ages, religious dogma is the law, science is a cult that can be executed, and technology is considered the devil's masterpiece. History and public consciousness bear in mind the aforementioned features of the Dark Ages and the Crusades, which were only examples of the goals of European imperialism. However, there was another major event in the Dark Ages that greatly influenced modern culture in its own right. In fact, a widespread bacterial infection could be said to have a greater impact than most other events at the time. A small bacterial infection wiped out nearly half of Europe, setting off the invasion of the Mongol tribes of Genghis Khan. The same pandemic has left Europe in such a weakened state that it took almost a century for most major nations to recover. A small bacterial infection turned into a large-scale epidemic, spawning many heretical Christian groups, and indirectly leading to the formation of the Inquisition, which paralyzed the old world for deca...
Post a Comment
Read more

Data Analytics for Online Shops

Making shopping a smooth and easy experience is the goal of many online shops. But how can easy website navigation be optimized? Unlike the physical shops, you cannot talk to the sales people in the online shops and a customer should find his or her way through the online shop. And unlike pysical shops, online shops can have hundreds of thousands of visitors every day. To optimize the shopping experience, some important questions should be answered : Why do customers put products into their shopping cart and do not buy them at the end? Was it because of the sales process or he/she liked another product simply better? What impact has a customer's drop from a detail page? Where are the differences in customer behavior depending on the different product groups, Customer types or assortments? What are the figures compared to the previous year? Were there any technical errors? Was the accessibility of all pages always guaranteed? Traditionally, answering these questions require a lot of...
Post a Comment
Read more