The Terminal hasn’t changed much since the 1980s. Every other aspect of your workflow is radically different. Especially in the last decade, we’ve seen companies transform industries with the advent of collaborative software: Figma (collaborative design), Github (collaborate code), G Suite (collaborative Word and Excel) and more.
We expect real-time collaboration to dominate future markets as the pandemic runs its course and forces people and businesses online en masse. An entire frontier is now wide open to ambitious engineers.
What, then, is next? We believe Terminal.app is ripe for innovation.
What would this look like in multiplayer mode, built for teams? Surely there’s an easier way to manage SSHing to AWS/GCP. How about chat, CMD+R across the team, and other plum integrations (Stack Overflow, Ruby docs, GPT-3)?
At the very least, reimagining the engineer’s command center is an interesting experiment. And if successful, your work has the potential to fundamentally change the work of every developer on the planet.
We’re excited to announce our second Pioneer Challenge:** Build a New Terminal.**
This challenge has three distinct parts. Here’s an overview:
**Phase 1: The Hackathon. **A 48-hour hackathon anyone can join, starting August 7th.
5 winners are selected from the hackathon and are incorporated for free into companies, if they’d like. No equity is exchanged. (All participants receive free Repl.it credits.)
**Phase 2: The Prototype Month. **The 5 companies spend a month building out their prototype. Weekly progress videos are shared on Frontier.
**Phase 3: The Championship. **After a month, the winning team is selected both by popular vote and our team. The winner is awarded Pioneer Gold: $20,000 in exchange for 5% of the company.
To get started, register with your name and past projects here.
If you refer the winning team to us, we’ll grant you 0.5% equity in the company. You’ll need them to register with a unique link you can generate for yourself here.
There might be extreme circumstances where we can’t grant you the equity (depending on the country you’re in, for example). We’ll attempt to exhaust all reasonable legal options to make good on this.
**Apply now: **https://pioneer.app/challenge
#hackathon #terminal #investment #coding #remote #events #hackathon-participation #hackathons
2021 is around the corner. Time to deep dive through the most typical big data analytics issues, investigate possible root causes, and highlight the potential solutions to those.
It’s always better to think smart from the very beginning when your big data analytics system is yet at the concept stage. Any fixes might be quite expensive to implement once the system is already up and running.
In today’s digital world, companies embrace big data business analytics to improve decision-making, increase accountability, raise productivity, make better predictions, monitor performance, and gain a competitive advantage. However, many organizations have problems using business intelligence analytics on a strategic level. According to Gartner, 87% of companies have low BI (business intelligence) and analytics maturity, lacking data guidance and support. The problems with business data analysis are not only related to analytics by itself, but can also be caused by deep system or infrastructure problems.
#big data #latest news #5 challenges of big data analytics in 2021 #challenges #challenges
In terms of security, there are numerous challenges that you may encounter, especially in big data. Generally, big data are huge data sets that may be calculated using computers to find out relations, patterns, and trends, primarily which is linked to human interactions and behavior.
Since big data contains huge quantities of personally identifiable information, privacy becomes a major concern. The consequences of security breaches affecting big data can be devastating as it may affect a big group of people. For this reason, not only will the damage be reputational, but there would also be legal ramifications that organizations have to deal with.
Fortunately, there are numerous ways on how to overcome big data security challenges like bypass geo blocking , including the following:
#big data #latest news #security #big data security challenges: how to overcome them #big data security challenges #challenges
So, you’ve successfully gone through the initial screening phase of the interview process. It is now time for the most important step in the interview process, namely, the take-home coding challenge. This is generally a data science problem, e.g., machine learning model, linear regression, classification problem, time series analysis, etc.
Data science coding projects vary in scope and complexity. Sometimes, the project could be as simple as producing summary statistics, charts, and visualizations. It could also involve building a regression model, classification model, or forecasting using a time-dependent dataset. The project could also be very complex and difficult. In this case, no clear guidance is provided as to the specific type of model to use. In this case, you’ll have to come up with your own model that is best suitable for addressing project goals and objectives.
Generally, the interview team will provide you with project directions and a dataset. If you are fortunate, they may provide a small dataset that is clean and stored in a comma-separated value (CSV) file format. That way, you don’t have to worry about mining the data and transforming it into a form suitable for analysis. For the couple of interviews I had, I worked with 2 types of datasets: one had 160 observations (rows), while the other had 50,000 observations with lots of missing values. The take-home coding exercise clearly differs from companies to companies, as further described below.
In this article, I will share some useful tips from my personal experience that would help you excel in the coding challenge project. Before delving into the tips, let’s first examine some sample coding exercises.
#2020 oct tutorials # overviews #beginners #challenge #data science #interview #programming
Amazon Web Services has announced the AWS BugBust Challenge, the world’s first global competition for developers to remove one million software bugs. Developers can join the challenge by creating an AWS BugBust event for their organisation in the Amazon CodeGuru console—and compete for prizes by fixing bugs in their applications. The top ranks in the AWS BugBust leaderboard stand to win achievement badges, exclusive prizes, and a chance for an expense-paid trip to attend AWS re:Invent 2021 in Las Vegas.
AWS BugBust is the first global bug-busting challenge for developers to collectively eliminate 1 million software bugs and $100 million in technical debt for their organisation.
“Hundreds of thousands of AWS customers are building and deploying new features to applications each day at high velocity and managing complex code at high volumes. It’s difficult to get time from skilled developers to quickly perform effective code reviews since their busy building, innovating, and pushing out deployments,” said Swami Sivasubramanian, VP, Amazon Machine Learning, AWS.
“Today, we are excited to announce an entirely new approach to help developers improve code quality, eliminate bugs, and boost application performance while saving millions of dollars in application resource costs. With the AWS BugBust Challenge, developers can use Amazon CodeGuru to spend less time finding common coding mistakes and more time having fun and competing to improve their applications and save their companies a lot of money,” he added.
Amazon CodeGuru is a developer tool that uses machine learning to identify bugs and find the most expensive lines of code in applications. Amazon CodeGuru helps developers automate code reviews and application profiling with its two components, Amazon CodeGuru Reviewer (which uses machine learning to flag common issues in code and provide specific recommendations on remediation) and Amazon CodeGuru Profiler (which uses machine learning to identify the most expensive lines of code in applications).
#news #aws bugbust challenge #aws global challenge #aws global software bugs challenge #aws machine learning challenge #aws machine learning code
MetacatAPI is an Application Programming Interface provides an interface and helps connect the two applications and enable them to communicate with each other. Whenever we use an application or send a request, the application connects to the internet and sends the request to the server, and the server then, in response, provides the fetched data.
The data set at any organization is stored in different data warehouses like Amazon S3 (via Hive), Druid, Elasticsearch, Redshift, Snowflake, and MySql.Spark, Presto, Pig, and Hive are used to consume, process, and produce data sets. Due to numerous data sources and to make the data platform interoperate and work as a single data warehouse Metacat was built. Metacat is a metadata exploration API service. Metadata can be termed as the data about the data. Metacat explores Metadata present on Hive, RDS, Teradata, Redshift, S3, and Cassandra.
#big data engineering #blogs #a quick overview of metacat api for discoverable big data #metacat api #discoverable big data #overview