Posts Tagged ‘BI Generic Architectures’

The personal computer, internet, digital music players (think ipods), smart phones, tablets are just a few of the disruptive technologies that have become common place in our lifetime.   What is consistent about these technology disruptions is that they all have changed the way we work, live, and play.  Whole industries have grown up around these technologies.   […]

Last month Oracle announced Oracle In-Memory database option. The overall message is that once installed, you can turn this “option” on and Oracle will become an in-memory database.   I do not think it will be that simple. However, I believe Oracle is on the correct track with this capability. There are two main messages with […]

This month Oracle is releasing its new in-memory database.   Essentially, it is an option that leverages and extends the existing RDBMs code base.   Now with Microsoft’s recent entry all four the mega-vendors (IBM, SAP, Microsoft, and Oracle) have in-memory database products. Which one that is a best fit for a company will depend on a […]

Doug Cutting – Hadoop creator – is reported to have explained how the name for his Big Data technology came about: “The name my kid gave a stuffed yellow elephant. Short, relatively easy to spell and pronounce, meaningless, and not used elsewhere: those are my naming criteria.” The term, of course, evolved over time and […]

I was looking at the market share of  Google Analytics (GA) and it is definitely on the rise. So I was curious to see the capabilities and what this tool can do. Of course it is a great campaign management tool. It’s been a while since I worked on campaign management. I wanted to know […]

In my last blog post, we learned about SAP HANA… or as I called it, “a database on steroids”. Here is what SAP former CTO and Executive Board Member, Vishal Sikka, told InformationWeek: “Hana is a full, ACID-compliant database, and not just a cache or accelerator. All the operations happen in memory, but every transaction […]

Some interesting facts and figures for your consideration: 90% – of stored data in the world today was created in the past 2 years 50% – annual data growth rate 34,000 – tweets sent each minute 9,000,000 – daily Amazon orders 7,000,000,000 – daily Google Page Views 2.5 Exabyte – amount of data created every day (an Exabyte […]

Yarn….. Yes, Hadoop may be changing everything, but when Yarn was released, the change pedal has been pushed aggressively to the floor. Putting the technical details aside, the bottom-line is that now multiple concurrent workloads can be executed and managed on Hadoop clusters. This “pluggable” service layer has separated the data processing and cluster resource […]

One of the not so nice parts of the conference is seeing companies that have technology that have been superseded by the new releases of Hadoop, primarily Hive. One company, boasted about the fact it did not have to do full scans and could return SQL queries in seconds on large datasets. The look on […]

MDM is a popular topic and many organizations are in different stages of MDM journey. Many times clients (primarily IT) want to engage consultants who can recommend a MDM tool and start the implementation, bypassing the Planning / Pre-planning stages. Typically this leads to a MDM solution which is not thought through completely or end […]

Next week is the Hadoop summit in San Jose. Perficient, along with almost every Partner, will be attending, sponsoring and/or exhibiting. Big Data, especially Hadoop-based solutions is the most dynamic area of IT. Hundreds of companies have products and solutions, all geared at increasing the value enterprises are able to extract from their information. Hope […]

After attending many marketing sessions on In-Memory database like HP Vertica, Oracle Exalytics, Kognitio, SAP HANA, and SQL*Server 2014 with in-memory capabilities, finally I got an opportunity to look under the hood.  I  attended the SAP HANA training, and had the firsthand experience in playing with the In-Memory database. Gartner says, at least 35% of […]