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A longtime leader in data analytics, Google continues to earn their position by continually improving their data analytics offerings. Now, with Google Cloud Platform (GCP), you can capture, process, store, and analyze your data in one place, allowing you to change your focus from infrastructure to analytics that informs business decisions. However, you can also use GCP Big Data tools in combination with other cloud-native and open-source solutions to meet your needs. Below is an overview of GCP Big Data Tools and how you might utilize them to improve analytics.

Cloud adoption continues to soar. In fact, worldwide Infrastructure-as-a-Service (IaaS) public cloud services grew by 29.5 percent in 2017, according to Gartner. If it’s not in a company’s current plans to utilize cloud technology, it most certainly will be (or should be) in the next couple of years.

Accessing cloud-based resources, whether they be IaaS/PaaS/SaaS-based, is very convenient. With a browser and Internet connection, you are up and running. No driving to your work office, no need to log into the corporate network. Just open up your web browser and go. This convenience, however, comes with a security risk. All of your business work is conducted over an insecure communication network. Unlike your office network, where the network link between you and the data center is under corporate control and is physically secure, the cloud access link is over the Internet.

Google takes security to a whole new level thanks to their years of experience as one of the most popular targets on the internet for would-be hackers and denial of service bots. This led Google to build a sophisticated security infrastructure the likes of which few companies or organizations can claim. Google approaches security holistically and involves everything from the physical data centers, to the data pipelines between them, down to the training of each employee that is responsible for managing the infrastructure.

Google Cloud certifications had a breakout year according to the Global Knowledge 2019 IT Skills and Salary Report. GCP Cloud Architect is the top-paying IT certification in North America and Europe, the Middle East and Africa (EMEA), while Google Cloud salaries are 34% higher than the average for North America. As more IT departments adopt multi-cloud strategies, Google Cloud skills are increasing in popularity.

Moving capabilities to a cloud provider such as Microsoft Azure is pretty straightforward. However, given the depth and breadth of service offerings provided by Azure, it’s easy to miss the product’s less obvious capabilities. If you're implementing a Microsoft Azure cloud platform, you'll want to consider these five services to save time, money, and your sanity.

Though there are several sources for agile certifications, the Project Management Institute (PMI)® Agile Certified Practitioner (PMI-ACP)® has established itself as the world’s fastest growing agile credential. The PMI-ACP certification formally recognizes your knowledge of agile principles and your skill with agile techniques.

Data center return on investment – which is measured by time to cost savings, time to revenue, time to break even, etc. – has proven more elusive than expected. But that doesn’t mean it isn’t attainable. To understand the genesis of the bad and ugly parts of data center ROI, we need to recognize the good parts and appreciate why so many companies are putting their faith in new and unfamiliar technologies.

Get an insider’s take on 2017 cloud computing, DevOps, and Internet of Things (IoT) trends from an industry expert.

Cloud computing has risen from relative obscurity to the No. 1 tech area of interest in the world, according to the 2017 Global Knowledge IT Skills and Salary Report.