Get the most recent info and news about Sigma Computing (hiring!) on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

Sigma is not another Business Intelligence tool. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. Discover what happened, why it happened, and what will happen.

Sigma Computing (hiring!)

sigma-computing

New technology partners build on Alation’s Open Connector and Open Data Quality frameworks to increase the breadth of the Alation Data Intelligence PlatformREDWOOD CITY, Calif., Oct. 24, 2023 (GLOBE NEWSWIRE) -- Alation,

Alation Extends Partner Ecosystem With Monte Carlo, Sigma Computing, and ThoughtSpot

18, 2023 – Access to the Argonne Leadership Computing Facility’s new GroqRack system is ... make predictions or discover patterns in complex data. Allocations are also available at ALCF on Graphcore Bow IPUs, Cerebras CS-2, and SambaNova DataScale ...

GroqRack System is Now Available in ALCF AI Testbed

If so, the good news for those in Europe who want Copilot is that the groundwork to get the AI available over there ... across a broad range of computing topics including CPUs, GPUs, various ...

Copilot AI could soon be available to a lot more Windows 11 users with a big privacy change from Microsoft

Sigma Additive Solutions, Inc. SASI shares are trading higher Friday after the company announced the signing of a definitive asset purchase agreement for the acquisition of NextTrip Holdings ...

What's Going On With Sigma Additive Solutions Inc Stock?

Microsoft wants its new AI-powered Windows Copilot to become your new universal assistant, but there’s one big problem: at the moment, Copilot is only available ... a UK-based Computing Writer ...

Microsoft's AI Copilot could transform Windows 11 - but not everyone can get it

Through this new integration, data.world is bringing enhanced visibility and trust to enterprise data analytics for Sigma users. Leveraging its foundational knowledge graph architecture ...

Analytics and Data Science News for the Week of October 6; Updates from Alteryx, Power BI, Sigma Computing & More

As of today, this collector is available to all Sigma users. To learn more about the integration or the data.world Data Catalog Platform, visit data.world. About data.world data.world makes enterprise data AI-ready. Built on a knowledge graph architecture ...

data.world Integrates with Sigma Computing to Bring Explainability and Trust to Enterprise Data Analytics

As of today, this collector is available to all Sigma users. To learn more about the integration or the data.world Data Catalog Platform, visit data.world. data.world makes enterprise data AI-ready. Built on a knowledge graph architecture, it is the only ...

AUSTIN, Texas, Oct. 03, 2023 (GLOBE NEWSWIRE) -- data.world, the data catalog platform, today unveiled a new partnership with Sigma, one of the first cloud data platforms enabling business and ...

data.world Integrates with Sigma Computing to Bring Explainability and Trust to Enterprise Data ...

As of today, this collector is available to all Sigma users. To learn more about the integration or the data.world Data Catalog Platform, visit data.world. data.world makes enterprise data AI-ready.

HackerNoon Reporter: Please tell us briefly about your  background. I’m currently the CTO and founder of Transposit, where we are reimagining how operations teams get work done. Before Transposit, I started my career as a software engineer worked at various companies like Apple, Google, and Twitter and was a founding engineer at Sigma Computing. As an early Google engineer, I played an instrumental role in re-architecting the Google News frontend. At Twitter, I architected, built, scaled and operated the social media company’s notification platform. All of these roles built towards my intention to eventually become an entrepreneur. Every organization I was a part of was an order of magnitude smaller until eventually I founded Transposit. The learnings during my time as a student at the University of Chicago studying humanities combined with my experiences during my former job roles helped shape my belief in taking a human-centric approach to solving complex engineering problems. It encourages engineers to practice end-to-end ownership while breaking down the silos in engineering organizations. What's your startup called? And in a sentence or two, what does it do? I founded Transposit in 2016. Transposit bridges the gap between developers and IT operations with automated human-and-machine workflows and operational visibility, empowering teams to optimize incident management, scale infrastructure as code practices, and modernize service request management. The cloud service enables operations teams to streamline DevOps practices, dramatically improve service reliability and resolve incidents faster. It turns alerts into action directly where teams communicate (like Slack) and in a web app that adds real-time analytics and automated documentation. What is the origin story? Across all of my experiences at school, Google and Twitter, there was a constant theme: keeping humans in the loop. Whether it was human-in-the-loop curation to augment algorithms or human-in-the-loop automation – it was all very human-centric. I consistently asked myself “How to merge humans and technology together?” At the University of Chicago I focused on humanities and human stories, studying blogging as a form of storytelling. I was later part of a project on Google News, which was all about helping humans curate and add value to algorithmic news generation. At that time, the prevailing emphasis was on machines, not the people behind the screen. Since I was championing the human aspects of tech, it didn’t seem like my passion had a place, but my perspective endured. I went to Twitter during an era where the company saw itself as an information network. To me, Twitter was people curating news, putting together 140 character snippets. When I founded Transposit in 2016, I got the opportunity to bring my passions for tech and people together. I remain focused on the human aspect of technology and my first mission for the company still rings true: I wanted to make developers’ lives easier. Now, as I continue to scale Transposit, I’m motivated by the strategic, intellectual people I work with as we collaborate to build the best possible DevOps orchestration platform. What do you love about your team, and why are you the ones to solve this problem? Our team is made up of smart, empathetic people who are strategically minded and skilled communicators. As an engineer, it’s easy to get caught up in one intricate piece of the problem at hand – a single line of code, for example, can become an intense fixation. At Transposit, we encourage “big picture” thinking where strategic communication and collaboration are welcomed. Knowledge goes far beyond technical understanding in this industry, so as we solve complex problems in the DevOps world, it’s important that we continue keeping in mind the humans who are using our solution in their operations stack. There’s tension between trying to build a sophisticated platform for the future and a platform that’s equipped to solve today’s pressing problems. This requires people to understand both sides of the equation––and we have the best team on board to achieve this. If you weren’t building your startup, what would you be doing? If I weren’t building Transposit, I’d likely be building a different startup. People used to ask me when I raced bikes why not just ride for fun? The reality is I love team sports. I love the camaraderie you get by working with a group towards a shared goal. Startups are intellectual team sports. You get to build a team and work together to build something great. At the moment, how do you measure success? What are your core metrics? A critical component of success for early-stage startups is to not be overly metrics-driven. Most of what you are doing is new, so you don’t have meaningful baselines for most metrics. You have to base a lot more on intuition rather than numerical values. At Transposit, our core measure of success is based on the insights we glean from our platform’s users. Our customers’ passions drive our passion – so when our objectives are aligned, everyone internally and externally is able to be successful with Transposit. What’s most exciting about your traction to date? A common response we get from customers is “I didn’t know that something like this product was even possible.” We’ve also received feedback saying “Transposit is the tool you didn’t know you needed but can’t live without.” This excites our team to no end because it’s validating exactly what we set out to do – build a solution that doesn’t just simply replicate the technology that’s already on the market, but redefines it and makes it better. What technologies are you currently most excited about, and most worried about? And why? I’m most excited about the standardization of APIs, open data, open standards, custom interfaces – technology that is pushing the world to a more “programmable” place, enabling flexibility and customization. At its core, Transposit (along with my fundamental beliefs about tech) was built with the foundation that humans are an essential part of any successful technological implementation. So, I’m most worried about technology that would eliminate the need for or replace humans altogether. Take machine learning, for example; it’s a great component of automation to rid users of repetitive tasks. However, when used incorrectly, machine learning can take the human out of the equation, creating more problems down the line. What drew you to get published on HackerNoon? What do you like most about our platform? I was introduced to HackerNoon when I was nominated for the Noonies Awards in 2020. I was drawn in by the other nominees’ stories – their narratives had incredible color and came from a wide span of tech sectors. HackerNoon’s platform is a place where intelligent, creative people can share their stories and get recognized for their accomplishments – no matter their company’s size. It’s a great platform to connect with other founders and leaders that share similar ambitions. What advice would you give to the 21-year-old version of yourself? Growing up, both of my parents were engineers, leading me to pursue the same path. I veered away from management roles and strictly focused on opportunities as an individual contributor. I’ve always identified as an engineer – a coder – and although I have no regrets on the path I carved out for myself to get me where I am today, I’d tell my 21-year-old self a few things to keep in mind: The engineering mindset I once strictly reserved for coding responsibilities is incredibly useful in other avenues as well. The same things that excite me as an engineer, like structured thinking and constraint problem solving exist in other roles, just in a different form. The “high” you get when you write code can also be applied to debugging human-centric problems. I’ve thoroughly enjoyed learning about different aspects of what it means to build a company, and gaining more understanding of the people management, marketing, and PR sides of things makes for a more well-rounded engineer and leader. Ambitious people get excited by steep learning curves. Anything you do for long enough, you plateau and stop learning as much. To stay excited and fulfilled, you need to anticipate that plateau and find new challenges. For some, this can be teaching these skills to others. For others, this can be moving into tangential roles or becoming an entrepreneur. What is something surprising you've learned this year that your contemporaries would benefit from knowing? This past year has taught me to always lead with a problem-solving mindset. You can’t always predict what’s going to happen next, so how you react and continue venturing forward will make or break your success. Part of that is to not focus on the “grass is always greener” mentality. With the disruption of the pandemic, it is easy to think longingly about how things were before and not take advantage of what the new world has to offer. One example of this is it’s easy to focus on the challenge of providing context to the team in a purely remote world. But we adopted a technology that allows us to record and transcribe customer calls with their permission. Because all of our meetings were held virtually due to the pandemic, we can actually share these with our team and help our engineers get closer to the customers, understand their feedback, and directly apply the insights to our product. This uncovered value taught me to adjust my outlook on our current situation and appreciate the new opportunities remote work has provided us. Even though we were physically distanced from our customers, each conversation brought us closer and more aligned. Vote for Transposit as the now! startup of the year, San Fransisco

Enabling Human-centered Technology: Tina Huang, Founder & CTO, Transposit

In February 2022, I finally moved to the US on O1 work visa. This was preceded by 2.5 years of work on strengthening the case, waiting for approval. 1.5 years before this date, I started preparing for an interview for a Front End position. Currently working as a Senior Front-End Engineer at Roku. This post and the creation of the were motivated by the lack of detailed information about interviews for Front-End engineers in the USA. telegram channel What I did before Before relocation, I worked for 7 years in outsourcing companies in Belarus. This allowed me to use different technologies, approaches and work on various projects. Prior to relocating, I already held a position as Engineering Manager with 26 JavaScript engineers (this strengthened my CV, especially for a Staff position). Over the past year, I have conducted about 50 technical interviews in the department. But in the USA, I realized that my experience is not entirely relevant, and I need to start from a Senior position in order to figure out how the processes are built here, the culture, and how to conduct interviews, which are completely different here. I started preparing for the technical interview 1.5 years in advance while I was waiting for my visa. Every morning of my working week was spent for preparing. It became a habit over time and did not cause any discomfort. After a while, I was promoted to the Engineering Manager position as I was growing at a rapid rate. Preparation 1. Leetcode I solved 245 problems on leetcode. I mostly focused on arrays, matrix, trees, linked lists, strings, hash tables, sorts, and two pointers. In my , you can see the topics that I solved. profile are all the tasks that I solved. Here To familiarize and refresh data structures and algorithms in JS, I used the resource. javascript-algorithms To quickly identify a Leetcode problems patterns, read this article — . It helps identify the problem. 14 Leetcode problems patterns To determine the complexity of the code, there is a on Big O notation. cheat sheet For examples of ​​what an interview looks like, I used the resource. interviewing 2. Big Front End ( ) https://bigfrontend.dev/ I solved 50% of BFE problems (easy and medium). I published all these solutions on my t . This resource is most useful for interviews at Meta, but other companies are more or less likely to ask similar questions. elegram channel 3. System design To prepare for system design, I used videos. He covered most aspects of systems design that I encountered in real interviews. Evgenii Ray’s A very useful resource for system design and for real work (Web Performance) — 3perf All about accessibility 4. Behavioral interview for preparation and examples of answers. List of questions For the mock interview, I used the telegram channel and . FAANG Pramp I also used this and and resolved everything from there, reading it all the way through. telegram channel Evgenii Ray’s Notion On glassdoor, you can find some examples of questions and tasks that companies ask. And finally, I’m in the USA… Upon arrival, I had a 2-week jet lag, there was no way of passing the interview, I could not sleep normally. But after I adapted, I began to actively set up calls with recruiters, writing on LinkedIn. There were 20–30 messages with opportunities per day, but most of them are no-name companies or startups. Before replying to the message, I analyzed the company, investments, it is a public or private company, what they do and what technologies they work with (I basically focused on React.js, JS / TS stack, as well, the Front End position). This was the original filter. During the day I had 3–4 phone calls with recruiters, then 2 technical interviews. In total, I participated in about 20 mocks to understand how to behave in an interview and what my weaknesses are, but this does not compare with real interviews. In real interviews, I already had a noticeable growth, already after 1–1.5 months, I began to solve problems more efficiently, find out requirements, sell myself and answer behavioral questions, because after each interview I did work on mistakes, and corrected stories. I started with small startups and companies and I was ready for rejection (this is important!). Every day for 2 months I had phone calls with recruiters, technical screenings, on-site interviews. It is very convenient that now everything is online. After almost a month of technical screenings, I even said that I liked the interview process, there are so many interesting problems and people, but then the onsite time came … after the first 5-hour interview, my opinion changed in a completely different direction, it’s sooo hard! In the beginning, I had rejections and it was frustrating of course. But as soon as I received the first offer, my motivation immediately grows .. until the next rejection. I was ready for rejection, but it’s still unpleasant to hear, especially when you spent 5–6 hours and they send you a standard reply that we decided to move with another candidate without any feedback. This motivated me to reflect and analyze what went wrong. I took notes, and tried to find answers on how to solve the problem or what needed to be clarified and how to design something. This helped in future interviews to combine different solutions into one and produce a high-quality solution. Also, communication with recruiters helped me improve my English, at the beginning I might not even understand half of what they were saying to me, but then I got used to it and it was much easier. In the end, I had really good interviews, but I kept getting rejected for some of them. And the worst thing is, you don’t understand what went wrong. The interview process My interview stats: : Meta, Amazon, Apple, Google, Microsoft, Lyft, Uber, LinkedIn, Roku, Salesforce, PayPal, DoorDash, Robinhood, Roblox, Intuit, Zoom, Grammarly, Imply, Disco, Square, SigmaComputing, LiveRamp, Zoox, Palo Alto Networks, Snowflake, Aurora Tech Screens (26) : Meta, Amazon, Google, Microsoft, LinkedIn, Roku, Salesforce, PayPal, DoorDash, Zoom, Grammarly, SigmaComputing, LiveRamp, Zoox, Aurora Onsite interviews (15) : Google, Roku, Microsoft, PayPal, SigmaComputing, LiveRamp Offers When applying for a Front End position, you will likely be asked only questions about the frontend, but at least 1 algo-problem of the easy-mid level will be asked, mainly about the data structure and its processing (there are not a lot in JS :)). But some like to ask algorithms the old-fashioned way. All of the preparation materials I mentioned above covered the interview questions. The process is pretty standard: Call with recruiter Technical screening Onsite (virtual) interview: Algorithms Tasks for coding a widget or a JS function System design, with a focus on Front-End Behavioral interview 4. Negotiation 1. Call with recruiter On a call with a recruiter, you discuss general questions, learn more about the company and the team you are interviewing. They ask about your work permit. In conversation, they ask about your experience and check your English. They find out what stage of your job search you are at and can build on this, for example, to speed up your interview process (In Aurora, I said that I completed all my interviews and if we can quickly go through all the stages, I agree. As a result, all the stages were done to me in 4 days, and onsite in just 3 rounds). Calls often happen before you have sent your CV. Only if everything went well and there is a match, you will be asked to send your CV. They may ask about your salary expectations, but I answered truthfully that I have no idea how much I am worth on the market since I just arrived. This was enough for them to pass over the question. You can ask for all the information you need in the same call, including the technical stack of the team. If you have questions that are important to you, this is the time to ask them. For me, it was the terms for the green card and the tech stack. Recruiters respect your time, so you coordinate each call according to the calendar, choosing from the recruiter’s one, or recruiter can choose from your calendar. Do not specify your salary expectations in any case, if they are very demanding (it has only happened once), specify a wide range. Turo’s recruiter repeatedly asked me what I expect, and when I gave him the range he said our compensation was 2 times less and we wouldn’t be able to match. 2. Technical screening So you have passed the first stage and you have been assigned a technical screening. Usually, it is 45 minutes. On it, again, you will tell a little about yourself, you will be asked questions about your experience and will be given to solve some small problem (in 90% it will either make a small widget in JS and a framework, or an easy problem for algorithms, or rather data structures that is in JS). Occasionally, there were problems on Hackerrank with HTML, CSS, and JS, 2–3. These are fairly simple to solve. Sometimes you can use any editor of your choice. But most of the time I send a link to my online editor (even with code highlighting). The most important thing is not to be silent, to think out loud so that the interviewer follows your thoughts. Related to code execution, it’s 50/50, sometimes you need to run the code when you want and as much as you want, sometimes I don’t even need to run the code (there’s not even such a possibility). There was one time when I was asked to design an elevator system at a technical screening (without code), it didn’t end well :) 3. Onsite(virtual) interview The most difficult stage of the interview, as it duration 3–6 hours. Many companies allow you to split it into 2 days, this is up to you. It consists of coding, system design, and behavioral interview. You can ask the recruiter about each round of onsite to understand what to expect from them. are similar to technical screening: find out the requirements, discuss the solution, code, and test it. Coding rounds System design Always focused on front-end issues, no need to talk about highly loaded systems, databases, etc. You just need to describe some functionality in the browser, ways to optimize, customize and expand, describe how to transfer data to the server, how to store it, where to store it, and why. Sometimes you need to design several endpoints with request and response structures. Don’t forget accessibility, it’s very important! Behavioral interview Here you can expect questions about your experience, projects, and teamwork. Basically, these questions are “Tell me a situation when you ..” In general, the questions asked about the most challenging project, the conflict in the team, what we did when deadlines were approaching and we didn’t have time, and what our biggest failure was. All stories should be told according to the STAR (situation — task — action — result) methodology. The story shouldn’t be very long. You will be asked clarifying questions if you didn’t explain something or the interviewer misunderstood you. In most cases, the hiring managers conduct the interviews. In the end, this is a great opportunity for you to ask all your questions about the team and the product. Negotiation There is no less stressful or important stage. It took me almost a month. With some companies, there were even several rounds, on average, I raised offers for 70–100k. Ask for feedback about you to better understand how good you were and use it as a negotiation tool. But nothing works better than a counteroffer. But it is important not to go too far, look at the compensations on the levels.fyi website beforehand in order to understand the range. Some conclusions about companies In all companies recruiters do a very good job and support you every step of the way, tell you what to expect in each round, how to prepare, and tell you what the interview process looks like in general. : I had the worst interview ever. At all rounds I had problems in understanding what the interviewer wanted from me, I clarified the requirements most of the time and explained my solution because for some reason they couldn’t understand it. And when they started asking questions about JavaScript during the coding process, it turned out that they didn’t know it and had to spend more time explaining why I use it and how it works. As a result, there were 5–7 minutes left for coding, but this was enough to finish. In the last round, I got the hard problem with trees, that I didn’t fully solve. Amazon : Some of the interviewers again didn’t know JavaScript, only asked algorithmic problems and asked questions about how JavaScript works. It was more like an interview for a full-stack position. Microsoft : Only math problems and algorithms were asked. Zoox : Again, only algorithms were asked, although the position is pure Front-End. However, my friend’s interview focused only on front-end questions. Aurora : I didn’t expect so much attention from this company. I had a lot of calls with a recruiter, the duration of some was an hour, where he told everything in detail about the interview process, gave preparation materials, asked how the preparation was going and gave advice, including how to behave in an interview, what to ask, what better not to ask. The questions were on the frontend focus. After the onsite, the hiring freeze started right away… Meta : They have an Ember.js framework, so questions are only about pure JavaScript and the frontend. LinkedIn : Lost my feedback after the technical screening. Still searching. Apple : The interview process was with front-end focus. After getting approval from the Google Hairing Committee, your next step is team matching. I had mixed feedback between L5 and L4 levels. As a result, the committee gave me L4 without additional interview stages. Only after a successful team match, they will send you an offer with numbers, but how long this process can take depends on many factors. Google I had 2 team calls a week, although I could do every day. The process took 2 weeks. The criteria by which I compared the teams: Team size. Frontend, backend, infrastructure engineers. Tech stack (all Angular). Promotion to L5 (time and opportunity). Product. Responsibilities. Front end or full stack position. There was even a backend only. Development process. Who are the users of the product, how many. Perhaps this is an internal project or a large one for a large number of users. Evaluated how comfortable communicate with the manager or team leader for me. As a result, I matched with the Google Analytics team, which is responsible for the performance of this product. In this team, I saw many opportunities for growth and metrics for promotion. How do I accept the offer I compared offers and decided which one to accept according to the following criteria. It is very important that the product is of interest to you. I have many years of experience in developing streaming platforms and know the needs of users and developers. I can learn a lot and see many challenges for myself in such products. Roku gives me this opportunity. Product. I don't like Angular, I prefer React.js. This was one of the most important reasons why I chose Roku. Tech stack and tools. This is a very important thing. I don't want to burn out. During the interview process, you can ask questions about it and listen carefully to the answers. Work-life balance. Growth in technical terms and within the company to the lead position (Staff) Opportunities for growth. After the position of engineering manager, I was not ready for middle positions (yes, there were those too). Position level. Base and stock. Roku pays 85% in cash for senior positions, which is more profitable for me, as a beginner in this country, since at this stage money is needed here and now. Total compensation. Some companies start the green card process from the 1st working day, some after 3, 6, 12 months. I filtered companies based on 1 day and 3 months. But as it turned out, these terms can also be negotiated, I was able to negotiate from 3 months to 1 working day.
An important nuance, Meta does not issue green cards, I asked them about it at every call, at every stage of the interview, but I never received an answer, no one at all. But according to information on the Internet, everything is bad with them. Green Card Process. I don't like working in a team where you are one Front End engineer, or even 2. I want to grow and learn. The level of engineers in the team was also important for me. Team size and responsibilities. I prefer office work. Working from home is not comfortable for me. Some companies now offer to work 3 days in the office, 2 days remotely, and some offer full remote work. Remote work or office work. I live in San Jose and some companies have offices in San Francisco. It will take you at least 1.5 hours to drive here. Do you want to spend 3 hours a day on this? Office location. Tips Do not schedule more than 3 (but preferably 2) onsites per week. Last week I had 4 onsites in a week and it was hell! But I got 2 offers :) In an interview, your skills grow exponentially, so do not immediately pass the interview with the company of your dreams. After the interview you can talk to someone, it helps to relax. Do work on the mistakes after each interview to understand what could have gone wrong, look for answers to questions and tasks that were in the interview and try to figure it out. Prepare the text for your self-presentation for 1–1.5 minutes, you will tell it at each stage of the interview. For a behavioral interview, prepare and practice as many STAR stories as you can, I had about 20 that covered almost all questions. It took about a month to prepare them. Buy a paid subscription to Calendly (or a similar service) to make it easier to manage your interviews. Sending the dates in an email means they can respond within a week, and demand 5 dates (respectively), so these 5 days are blocked for you and you cannot schedule other interviews on them. If you have any questions or topics that I have not covered, ask in the comments here or on my ! telegram channel

Stories, News & Mentions about SIGMA-COMPUTING

Sigma-computing’s Stories on HackerNoon

Sigma-computing's News & Mentions