Google Cloud looks to Looker for greater data analytics – but with the multi-cloud focus

Source:- cloudcomputing-news.net Late last week, Google announced its intention to acquire business intelligence platform Looker for $2.6 billion (£2.05bn) in an all-cash transaction, with Looker joining Google Cloud upon the acquisition’s close. For Google Cloud – whose bill is chump change compared to what Salesforce is outlaying for Tableau – Looker represents more options for customers looking to migrate data from legacy technology stacks to BigQuery, Google’s enterprise data warehouse. As Google Cloud chief Thomas Kurian put it, it will help offer customers

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7 essential best practices to follow when adopting a DevOps model

Source- sdtimes.com The benefits of DevOps have been talked about for some time now. But a recent report has shown how organizations are reaping the benefits after implementing DevOps. According to a recent survey sponsored by Google and Harvard Business Review Analytics Services, two-thirds of the respondents that have implemented DevOps have seen benefits that impact their bottom line. Seventy per cent have seen increased speed to market, 67 per cent have seen improved productivity, 67 per cent have seen increased customer relevance, 66

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How DevOps may be the answer to cyber-attacks

Source- theinnovationenterprise.com Today, small businesses are facing greater cybersecurity risks than ever before. In the past, the bulk of cyber-attacks were aimed at large organizations, because they were more lucrative targets. However, things have changed, and hackers have shifted their focus to smaller businesses over the past couple of years. Although the payoffs of launching a cyber-attack against a small business are typically lower, hackers have discovered that the security solutions of the small organizations are less sophisticated, thereby making them

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Containers help move Spark and Hadoop into analytics operations

Source:- techtarget.com Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service. Spark and Hadoop analytics efforts often stumble when teams try to turn small pilot projects into larger operational apps meant for data science teams and business analysts. For many, it is an obstacle in their quest to work with big data. Configuration complexity has sometimes been the stumbling block. A custom-configured prototype built

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Technologies to consider for adapting to digital transformation

Source:- pcquest.com Organization leaders strive to position themselves for success over their competitors and ensure that there’s a clear path for the future. However, many businesses continue to rely on old systems and processes to serve their clients, and this can lead to big problems as technology advances. Teams may be left in the dust if they hesitate to make necessary transitions, impacting their products and their overall reputation. Here are some of the main technologies to consider as you head

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