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5 Simple Steps to Big Data Management

Data Management Big Data

Your company is about to begin a Big Data project and it seems overwhelming. That’s understandable — Big Data is, after all, big. There’s a lot of it, often generated by many different sources: Internet of Things (IoT) sensors, spreadsheet data or customer behavior online. And those are just a few examples of possible sources. As intimidating as Big Data can be, data management shouldn’t be painful, as long as you plan ahead. To make the most of the data you have coming in, your organization will need to build a Big Data management strategy — a plan for how you will manage, use, share and store data within your company.

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.

If You’ve Invested in Data, You Need to Consider IBM’s Watson

Data Management Big Data AI

Organizations are drowning in data right now. This data is coming from all kinds of sources. It's generated by consumer surveys, sensors on smart objects, your CRM, consumer behavior on websites — every business is generating more data than ever before. In fact, according to IBM, every day, worldwide, 2.5 quintillion bytes of data is created and it's only going to increase. For example, one big data generator, the Internet of Things (IoT), is still in a period of growth. The International Data Corporation (IDC) Worldwide Semiannual Internet of Things Spending Guide predicts that worldwide IoT spending will surpass the $1 trillion mark in 2020.

What is a 'Thing': A Basic Architecture for IoT Newbies

Data Management Big Data Internet of Things

Smart medical devices that transmit data directly to healthcare providers. Smart pallets that help warehouses keep track of inventory movements. Smart basketballs that help players track their shots as they practice.

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

Data Management Big Data Analytics

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.

Don't Think of AI When You Think of BI? Here's Why You Should.

Data Management Big Data Artificial Intelligence

When artificial intelligence is discussed, people tend to get a little breathless about its possibilities. And why not? The prospect of developing human-like intelligence and incorporating that intelligence into everything from cars to the apps we use at work is exciting. Humans have been dreaming about AI for decades, and we’re just getting to a place where AI is catching up to our fantasies about it. What might we be able to achieve when machines are doing some of our thinking for us? Here’s the thing though; machines have been doing some of our thinking for us — sorting through data and making predictions — for decades, but it’s so commonplace that no one gets excited about it.

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?

Data Management Big Data Analytics

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. 

What Can A Company Do With Agile Data? Watch Our Webinar and Find Out.

Agile Data Management Big Data MarkLogic

It takes a lot of information to make a widget. Parts, materials, expenses, how things fit together — from research and design to assembly to servicing finished products, the manufacturing industry generates a lot of data. That data is usually unavailable to everyone who works on a widget over its lifetime. Research and design has its own data about costs and assembly in its database. Manufacturing may need that same information, but because its own systems are structured differently, manufacturing can’t use the information from R&D.