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Azure Data Lake: The Next Big Thing in the Reinsurance Industry

Data Management Big Data Analytics

Reinsurance is a complicated industry and it's only getting more complex. Reinsurers provide insurance for other insurance companies to keep those companies' risks to a minimum and according to a recent report from Deloitte, their industry is facing a problem. They're putting together increasingly customized, individually-negotiated contracts for clients, incorporating data from several disparate sources — business partners, administrative systems, internal documents and reinsurance terms — and they're doing it manually.

In Over Your Head With Your Database? Here are 5 Signs It's Time to Go NoSQL.

Big Data Analytics Data Management

You've got database drama. You've tuned and tuned, but your queries are still taking forever, and when they come back, they're not returning great results. You have to do something, but what? Denormalize? Change your schemas? Buy a bigger server? If you've already done everything you can possibly do already, you know none of those steps is the right solution. The problem may be that you're using the wrong tool for the job.

Is Healthcare Ready for a Big Data Revolution?

Data Management Big Data Healthcare Analytics

Compared to other industries, Healthcare has been slow to adopt big data, for a variety of reasons. Hospitals’ budget priorities, medical records spread across various institutions, and concerns about data security have all acted as barriers to adoption.

What Is Decision Modeling, And Why Do You Need It?

Big Data Analytics Data Management

Decisions, decisions. Nothing is more stress-inducing — particularly in business, where decision-makers are often under pressure to act quickly— than having to make a big decision. 

Our Business-First Solution to ETL's Business-Last Approach

Data Management Big Data Analytics

You own a paint manufacturing business and you need to know how much you are spending on red pigment. You ask your business leaders to generate a report. Six months later they built a machine that knocks over dominos, rolls marbles, drops inventory, splatters an employee with red paint who then knocks on your door to show you how red the paint is:

How Do Professional Sports Teams Use Mobile Apps

Mobile Analytics Application Development

The Green Bay Packers. The Detroit Pistons. The Miami Dolphins. The USA Rugby Team.

Metrics for Manufacturers - What Should You Track?

Analytics Business Intelligence

We've talked about the importance of business dashboards - but what metrics does a successful manufacturer track?

Is MarkLogic a Secure NoSQL Database?

Big Data Security Analytics Data Management

Another data breech. A billion accounts this time. If the security of your internal databases wasn't on your mind before, it should be now. NoSQL = No Injection, Right? We've written about the benefits of a NoSQL database. Does having a NoSQL database also include the benefit of being safe from SQL injection attacks like Little Bobby Tables? (courtesy of XKCD.com)  Yea, no. If only life were that easy. Turns out NoSQL databases are still vulnerable to injection-based attacks through other technology vectors including Javascript (Source: Adobe.com PDF.) Using NoSQL Securely Between data injections and other security issues, NoSQL has a reputation for being less secure than a more traditional SQL database. Some of that is due to NoSQL's open-source heritage. Some of that is due to NoSQL being a younger and less mature technology.

What is a Multi-Model Database?

Big Data Analytics Data Management

If you've worked in technology for any length of time you know it's an ever-changing landscape of acronymns and monikers. A few weeks back we wrote about the differences between SQL and NoSQL databases. Well, about that. Making It Clear We didn't clarify the "NoSQL" term completely in that post. You probably read it as "No Sequel", right? Turns out, it's really supposed to be "Not Only Sequel". NoSQL isn't the either to SQL's or. A proper NoSQL technology like MarkLogic is a both/and solution that can also handle traditional relational SQL databases and other flavors of databases as well.