Google Data Studio’s New Explorer Tool Means it Can Now Compete with Enterprise Tools Like Tableau (and it’s Free!)

If you haven’t heard of Google Data Studio already, it’s Google’s data visualization tool that’s free and easy to use, allowing users to quickly build drag-and-drop visualizations and share them with anyone.

Although Google Data Studio is currently still in beta, hundreds of companies are already taking the tool on board within their organizations. Why? Because if you’re already using Google’s technology stack, it’s easy to quickly and seamlessly create reports and dashboards with Data Studio without the fuss of uploading and downloading datasets and plugging them into complicated reporting tools.

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How Exposing Your API Creates Vulnerability Without End-to-End Data Encryption

Article notes: The critical importance of end-to-end data encryption at rest and during transit, and how you can get it: This article should discuss why ANY entity that stores consumer data, patient files, federal or state government information, or any other proprietary data needs data encryption at every level to avoid cloud hacking and stop keystrokers with nefarious intentions from breaching. Anybody can log into and connect their bank account. The receiving party really is getting a lot of trust here. Look at Equifax hack.

Your application program interface (API) is the part of your server that receives requests and sends back responses through browsers like Firefox, Chrome, or Safari. When someone enters “” into Chrome to shop, their request is viewed by Amazon’s API, which responds by displaying Amazon’s homepage content in Chrome. But, for small- to medium-sized businesses that don’t have high-power server security or an army of IT warriors looking out for their APIs 24/7/365, they’re easily exposed by hackers.

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The Mass Migration from Legacy to Virtual Storage in 2018

It’s been more than two decades since cloud computing and storage debuted, but it won’t be until 2018 that the big bang of private enterprise cloud environments occurs. There are some good reasons why corporations, healthcare systems, and government agencies have shied away from cloud in the past. But reasons like latency, cloud hacking, and loss of data caused by power outages or failovers have been resolved for several years. So, why wasn’t it 2015, 16, or 17 that private cloud for enterprise-level use exploded? Considering the expected exodus from legacy storage like servers and solid state drives (SSDs) to cloud forecasted for 2018, the biggest question is… why now?

Nine out of 10 businesses currently not using virtual space will be by the end of 2018, making it a mushroom cloud-like explosion on the storage and computing timeline. In 2012, Gartner predicted a mass adoption of cloud storage for enterprise. It never materialized, really. What is the big “it” that has more CEOs and others at the helm of multinational commercial ventures nodding “yes” for 2018 when they’ve been shaking their heads until now?

Awareness, understanding what virtual space is, and letting go of fear of trying new technology to store the most precious data a company owns are all reasons to not want change. Cost is another huge factor, as is the learning curve associated with new tech. But, more than any other year on the virtual storage timeline, 2017 was a year that laid to rest rumors, myths, and misunderstandings about cloud environments and virtualization. The result: a rush for virtual gold in 2018.

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