I want to keep this blog very simple so that people who do not know the concept of blockchain can understand it. Target audience – anyone who can read English. What is a Blockchain? In very simple terms blockchain is a chain of blocks where a block means data. A more sophisticated definition was given by Don & Alex Tapscott, authors Blockchain Revolution (2016): "Blockchain is an incorruptible digital ledger of economic transactions that can be programmed to record not just financial transactions but virtually everything of value." Most of you might think, there we go again, why another ...

One of the most neglected and least prioritised activity among the grand scheme of development, in my opinion, is applying correct formats to data, both in cubes as well as standard web reports. In all fairness, if you’re one of my kind (occasionally-fall-into-a-slack type) who often miss out on this detail, then you have arrived at the right place. In my defence, I still feel that given the number of data points that one must apply formatting, it is only natural to miss a few, which then gets picked by business in live environment. Well, this blog is all about how you save yourself from such ...

In TM1, if a TM1 Cube has huge of volume of data and rule calculation, there is possibility that TM1 takes longer time to open a cube view, to look at the issue with performance would be TM1 View Caches (Stargate Views). The Stargate view contains only the data for a defined section of a cube and does not contain the formatting information and browser settings that are in a view object. The purpose of a Stargate view is to allow quicker access to the cube data. To fine tune and control the Stargate Views, TM1 provides couple of settings namely VMM (View Maximum Memory) and VMT (View Minimum ...

With users unceasingly (almost perennially) demanding higher data upload speed and concurrent transfers, this blog offers insight and considerations one should keep in mind while simultaneously executing a Turbo Integrator (TI) process. It also highlights steps to avoid TI looping and/or thrashing. Synopsys Consider a single user loading data into a cube from source (such as ODBC, Text files, another Cube, etc.) via a TI process for a specific data segment such as a given scenario, period & component, may not experience any wait times. However, when it comes to concurrent users ...