Fortunately, there are alternatives to Hadoop when it comes to big data projects. While not applicable to all situations, I've found that a Hadoop alternative can save time, money and slash risk.

If Hadoop is leaving your data lake project all wet, you may be a good candidate for an emerging architectural concept called the big data fabric. As industry experts explain, big data fabrics bring a ...

No longer is Hadoop viewed by some organizations as just a platform for big data proof-of-concept applications. IT leaders should be developing a strategy for production-ready infrastructure, now ...

Hardening Hadoop itself is only one part of the big data security challenge. 7 Compliance Mandates Still Apply in Big Data Workloads Big data doesn’t come with a separate set of regulations and ...

Hadoop, developed in 2005 and now an open source platform managed under the Apache Software Foundation, uses a concept known as MapReduce that is composed of two separate functions.. The Map step ...

Data lakes are typically standalone objects, meaning, not designed with any particular requirements or upstream/downstream dependencies. In a way, they represent the rebirth of the original data ...

While the term ‘big data’ may feel old to us now, the concept remains relatively new. Hadoop helped popularize and simplify this analytical use of data in 2010, and since then the technology and ...

And if there’s unauthorized user, he should be pointed at a cluster that has a masked copy of the data.” If Hadoop is going to be the platform of choice for storing big data, then it needs to be ...

Hadoop is the open source software framework at the heart of much of the Big Data and analytics revolution. It provides solutions for enterprise data. News.