亚博贵宾会贴吧MongoDB的夏季实习项目在悉尼，澳大利亚| MongoDB博客 - yabo备用网址,亚博竞猜羽毛球,亚博贵宾会贴吧

杰斯卡茨
2020年6月25日更新日期:2020年7月10日
#实习

2019年12月，我们在澳大利亚悉尼办事处启动了第二个暑期实习项目。我们非常自豪地欢迎2019年悉尼的实习生安格斯李，杰里米·泰,朱利亚诺Celani．我坐下来采访Angus, Jeremy和Giuliano，了解更多关于他们的经验和他们在MongoDB实习期间学到的东西。亚博贵宾会贴吧

杰斯·卡茨:我很高兴能了解你作为实习生的经历!你能先告诉我你实习的团队吗?

安格斯李:我在Charts团队实习过!我致力于创建交互式图表。

安格斯李

杰里米茶:我在存储引擎团队(最初称为WiredTiger)实习。这个团队的人都非常聪明，他们中的许多人在跳槽到MongoDB之前曾为其他顶级公司工作过。亚博贵宾会贴吧

杰里米·泰

朱利亚诺Celani:我在技术服务工程团队实习，负责处理用户和客户的支持票。我帮助我的导师解决了客户的问题。

朱利亚诺Celani

JT:亚博贵宾会贴吧MongoDB在软件行业中已经是一个越来越大的名字，我以前曾在小型项目和黑客马拉松中短yabogame亚博科技彩票暂地使用过它。这次实习似乎是一个在快速发展的公司工作的好机会。此外，Storage Engines团队还提供了一个独特的机会来使用非常低层次的代码——这是我在大学课程之外从未使用过的，而且我很少看到实习机会。

面试过程是怎样的?

GC:整个面试过程与我之前在其他公司的经历非常不同，这是一种好的方式。从我的招聘人员到我在招聘过程中交谈过的所有工程师，每个人都对公司充满了热情。他们致力于组织的核心价值观，这与我自己的价值观强烈一致。

你最喜欢的项目是什么?

艾尔:我真的很喜欢修复bug，因为它让我慢慢学习代码库，理解应用程序是如何工作的!在我的实习项目中，我致力于开发全新的功能亚博贵宾会贴吧MongoDB图表．

JK: MongoDB的工作文化是怎样的?亚博贵宾会贴吧

GC:那里的文化太棒了!参与一个快速发展的工程导向的组织是非常有益的。你可以看到和理解像MongoDB这样的公司是如何对世界产生巨大影响的。亚博贵宾会贴吧我也很欣赏每个人都很重视共同努力解决问题，因为这有助于创造一个每个人都在不断努力变得更好的环境。

JK:你在实习期间最感兴趣的是什么?

艾尔:学习vega和d3.js绝对是非常有趣的!我还了解了专业工程团队是如何运作的。坐在软件工程师、产品设计师和产品yabogame亚博科技彩票经理中间帮助我理解了一个真正的软件工程师要经历的工作流程。

JK：今年夏天你的队友和导师是如何帮助你的？

JT:我们定期安排一对一的会议，让彼此了解每件事情的进展情况，并确保我们实现了自己的职业目标。我们的队友和导师也和我们一起吃午饭，参加各种各样的办公室活动，确保我们不仅在学习，而且度过了一段美好的时光。

JK:你最喜欢在MongoDB实习的哪部分?亚博贵宾会贴吧

艾尔:关于MongoDB的实习，我最喜欢的部分是有机会为我们的客户解决问题，解亚博贵宾会贴吧决产品的缺陷和特性。在此之前我也曾在其他公司实习过，我所从事的项目从未在公司外发布过。在一个实际的产品上工作给了我动力，并提醒我为什么我想首先成为一个软件工程师!亚博科技彩票yabogame

有兴趣在MongoDB实习吗?亚博贵宾会贴吧我们有几个开放的角色我们希望您能与我们一起成长!

←之前

有一个新的指南针和一个壳!

在Compass 1.22 Beta版中，我们引入了集成的MongoDB Shell，它允许你直接从Compa亚博贵宾会贴吧ss运行数据库命令和脚本。

2020年6月17日

下一个→

2021年的数据：未来未来的四个预测

一年是多么的。全球大流行，经济衰退和美国总统选举不同于生活记忆不同2020个悲惨和动荡的12个月，许多人想忘记，但不能。尽管存在不确定性，但回头看看我们可以确定至少有一件事：在几个月内，我们已经看到了几年的数字中断。比赛尽可能快地数字化，我们的“下一个正常”，已经跨越所有行业，加速了云采用，艾和物联网等辅助趋势。具有讽刺意味的是，2020年代深刻的不可预测性的持久效果之一就是我们现在的数字化越来越多的数字化，因此数据，因此是商业成功，消费者需求，甚至社会发生在2021年及以后的主要驾驶员。因此，我们询问了几个MongoDB的最聪明的思想，以期待来亚博贵宾会贴吧年，并分享他们对数据管理趋势如何发挥作用的见解。Petabyte-scale致暗示“大数据”的想法并不是新的，许多公司一直在使用Petabyte，甚至exabyte，大小的数据集。然而，2021年可能只是为其他人最终“大”的年份。对于许多组织，特别是那些中等大小和更小的，数据管理直到现在被局限于Tberabytes的领域。然而，趋势如连接设备的爆炸，滚动为5克，以及2020年代的延续急于数字化业务意味着BetByte-Scale数据管理的各个方面都可能成为了更多的现实。 And to paraphrase a famous saying: “Mo data, mo problems.” Keeping petabytes of data accessible and safe, while at the same time using it to meaningfully enrich a business, is an order of magnitude more difficult and complex than what many mid-sized enterprises are used to. Petabyte-scale data management demands stricter tolerances for uptime, scalability, and performance. In addition, the data is likely to be more distributed — on prem, in the cloud, and even across different clouds. Real-time analytics becomes a business necessity, as does taking advantage of features like automated tiering. The security and data privacy implications of holding that much data, and making it accessible to more people and connected “things,” mean petabyte-scale data management is also a business opportunity tinged with considerable financial and reputational risk. Data Privacy Continues to Be a Hot Button The coming year will further define the relationship between consumers and their data. In November, California voters approved the California Privacy Rights Act (CPRA). Along with enhancements to the already enacted CCPA (the California Consumer Privacy Act), the CPRA establishes an independent watchdog, the California Privacy Protection Agency, to enforce the CCPA now, and the CPRA when it comes into effect on January 1, 2023. There’s growing expectation that 2021 will also be the year the U.S. Federal government begins drafting a nationwide privacy law. With more states likely to follow California and enact their own CCPA-inspired privacy laws, and a new administration headed to Pennsylvania Avenue on January 20th, a national answer to the patchwork of state-based data privacy laws might finally see the light of day. An online ad for one of Apple's latest releases, a credit card Elsewhere, China and Canada are just two of several major world economies set to introduce new data privacy statutes, or overhaul existing laws over the coming 12 months. For businesses, 2021 is also set to be a landmark year for the emergence of data privacy as a competitive advantage. The latest indicator of this trend came in the closing weeks of 2020. In December, simmering tension between two of the largest and most influential companies on the planet spilled into open conflict when Facebook took out full-page advertisements in the New York Times, Wall Street Journal, and Washington Post declaring, “We’re Standing Up To Apple For Small Businesses Everywhere.” A full page ad Facebook took out in several national publications The ads were a response to changes in Apple’s iOS 14, which will prompt users to grant apps permission to gather data and track them as they move across other apps on their iPhone or iPad. That move will “break” parts of Facebook’s ad targeting system, among other things. Apple CEO Tim Cook has staked the company’s brand on becoming known as the big tech company that respects user privacy, in direct contrast to Facebook and other companies that rely heavily on customer data for their advertising-based business models. “You are not our product,” Cook said in an interview with ABC’s Diane Sawyer in 2019 . “Our products are iPhones and iPads. We treasure your data. We want to help you keep it private and keep it safe.” Make no mistake, Facebook vs. Apple is just one battle in a much larger conflict over data privacy and brand equity. No longer just a compliance challenge, the sanctity of customer data is now a business and brand burnishing advantage too. Real-time Analytics Becomes a Differentiator It’s one thing to ingest a lot of data, and quite another to put that data to use. As 2020’s digitization stampede continues, the next frontier for enterprises is to mine the information they collect for insights that drive personalized customer experiences—at scale and in real time. And to achieve this level of near-instantaneous insight and response, 2021 will be the year businesses focus their attention on moving to converged data platforms. Unlike the siloed databases of yesteryear, converged data platforms (otherwise known as translytical data platforms, like MongoDB !), combine transactional (System of Record), operational (System of Engagement), and analytical (System of Insight) workloads onto a single, unified data platform. A converged data platform allows businesses to exploit their mountains of data at the speed and efficiency consumers now demand, and all with lower complexity and risk. As business leaders seek an edge over their competition, those that prioritize real-time analytics, and move to a converged data platform, will pull further away from their peers. Not Every Cloud Has a Silver Lining From retail to recreation, hospitality to healthcare, moving data and operations to the cloud was already a right of passage on the way to digital transformation. The COVID-19 pandemic simply accelerated this move. But with speed, comes even greater risk , and embracing the cloud on an accelerated timeline is fraught with danger. Do it without proper planning—as in a simple “lift and shift” of your existing setup—and you may find the on-premise issues that currently hamper developer velocity and business agility simply follow you to the cloud. The COVID-19 pandemic has heightened the need for companies to adopt digital business models—and only cloud platforms can provide the agility, scalability, and innovation required for this transition. McKinsey, The Next-Normal Recovery Will be Digital Additionally, all the advantages the cloud affords, such as the ease of scaling your infrastructure, can quickly lead to more architectural silos and technical complexity if handled incorrectly. Our warning is that, with so many companies rushing their move to the cloud in 2021, many will fail to seize on its transformational benefits, and spend 2022 (and beyond) undoing bad architectural decisions.

2020年12月31日