Archive for the ‘Big Data’ Category
I recently read an article on Information Week about the common lack of big data skills among marketing professionals. As a marketing professional myself, I can attest to the truth of that statement. Even if you have very little knowledge of marketing practices, you might be familiar with the 4 Ps: Product, Price, Place, and […]Read More
Last month, there was interesting article published by Chris Kanaracus on www.computerworld.com. The author quotes Ken Rudin, Facebook Analytics Chief, talking about how Big Data needs more than Hadoop. It is always interesting to read about the practices of successful organizations that have to deal with large amounts of data. In his article, Rudin talked […]Read More
In few a short years, your job will be obsolete. We’ve all seen messages like that. It seems that every few years we get a rush of news stories about how the latest trends in technology are going to put us all out of business. The media loves to sensationalize the notion that one day […]Read More
On August 20, Bernard Wehbe, co-founder of StatSlice Systems, presented a webinar on Amazon Redshift as part of our series on Big SQL Analytics. This webinar was recorded and is available below. This webinar covers the results of our Amazon Redshift investigation where we walk you through the POC we performed and highlight the capabilities […]Read More
Today, analytics have become mainstream in the majority of organizations. Moreover, most of the analytics and data warehousing implementations have been built using traditional relational database platforms such as SQL Server, Oracle, or DB2. As data volumes grow larger and more data sources come online, organizations are hitting the limits of these traditional platforms leading them […]Read More
In the May/June 2013 edition of Enterprise Executive magazine, Bernard Wehbe, Co-Founder and Managing Partner of StatSlice Systems, published an interesting article in regards to Big Data. Is Big Data something businesses should pay close attention to, or is it just another big hype? To read the full article click here.Read More
What makes an analytics system great? Great design, quality code, strong business sponsorship, accurate requirements, good project management, and thorough testing are some of the obvious requirements for successful analytics systems. As a professional in the field, you must be able to do these things well since they form the foundation of a good implementation. This is good enough for most people but not good enough for you—if you want to be in high demand and help your organization overcome its critical challenges.
Successful analytics professionals should follow a set of guiding principles. These very important principles are often missed by traditional methodologies. In this whitepaper you will learn about these principles that, once implemented, can make you an analytics rock star in your organization and increase your worth in the marketplace.Read More
Last week during Microsoft TechEd 2013, Microsoft announced plans to incorporate in-memory OLTP in SQL Server 2014. They also expanded on some features included in the upcoming release.Read More
Big Data’s open source solution Hadoop is not just a super-sized database. Hadoop’s cost per terabyte is much less than high end data warehouse database server like Teradata and Oracle’s Exadata. Hadoop’s storage costs are also substantially less than many high and mid-level storage area network (SAN) solutions.Read More
A few of the StatSlice team visited the Gartner BI Summit that was recently held here in the Dallas area. It was very well attended and had a great “buzz.” This writeup, written by Thamina Christsensen on the Smart Data Collective, summarized some key points well. To see her blog, click here. 1. Old […]Read More
When evaluating Big Data applications in enterprise computing, one often-asked question is how does Big Data compare to the Enterprise Data Warehouse (EDW)? What does Big Data bring to the organization that the EDW cannot handle?
This article by Fred Zimmerman presents a technical and business discussion on the Big Data question. The technical discussion assumes familiarity with data architecture. The business discussion draws some conclusions about the actual application of Big Data in the enterprise.Read More
So, I’m scanning my favorite blogs and media sites, and I see this as a tease, “In 2020, the annual amount of digital data created, replicated and consumed will total more than 5,200 gigabytes for every man, woman and child on the planet…”Read More
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