Remove 2011 Remove Data Warehouse Remove Testing Remove Visualization
article thumbnail

11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

" I'd postulated this rule in 2005, it is even more true in 2011. When a majority of your budget is invested in tools and data warehouses, rather than smart people to use them, you are saying you prefer to suck. Making website iterations based on executive opinions, but not site testing. The 10/90 rule.

Marketing 126
article thumbnail

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. WhereHows is a DG project from LinkedIn, focused on big data.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2011: IBM enters the cloud market with IBM SmartCloud. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Microsoft also releases Power BI, a data visualization and business intelligence tool.

article thumbnail

A blazingly fast database in a data-driven world

IBM Big Data Hub

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

article thumbnail

Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Known as the person who coined the term Lambda Architecture, co-author Nathan Marz is a well-renowned expert in the field of big data and programming. Best for: the seasoned BI professional who is ready to think deep and hard about important issues in data analytics and big data. is one of the greatest on the market.

Big Data 263
article thumbnail

Is Google BigQuery The Future Of Big Data Analytics?

Smart Data Collective

If your company revolves around the manufacturing of goods or services, for example, big data can aid you in the development of your products. This can be done through the analysis of previous product success as well as the data collected from test markets and/or social groups that may dictate what commercial offerings are best received.

Big Data 134