Saagie Integrations

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

OVHcloud gives technologists and businesses complete control, allowing them to start their own business. We are a global technology company that provides developers, entrepreneurs, and businesses with dedicated software, infrastructure, and server building blocks to manage, scale, and secure their data. We have always challenged the status-quo and strived to make technology affordable and accessible throughout our history. We believe that an open ecosystem and open cloud is essential to our future in today's digital world. This will allow all to flourish and customers to choose how, when, and where they want to manage their data. We are a trusted global company with more than 1.5 million customers. We manufacture servers, manage 30 datacenters, as well as operate our own fiber-optic network. We are open to powering your data with our products, support, thriving ecosystem, and passionate employees.

The Java™, Programming Language is a general purpose, concurrent, strongly typed and class-based object-oriented programming language. It is usually compiled according to the Java Virtual Machine Specification's bytecode instruction set. All source code in the Java programming language is first written in plain text files that end with the.java extension. The javac compiler compiles these source files into.class files. A.class file doesn't contain native code for your processor. Instead, it contains bytecodes (the machine language of the Java Virtual Machine1 [Java VM]). The java launcher tool will then run your application with an instance Java Virtual Machine.

AWS offers a wide range of services, including database storage, compute power, content delivery, and other functionality. This allows you to build complex applications with greater flexibility, scalability, and reliability. Amazon Web Services (AWS), the world's largest and most widely used cloud platform, offers over 175 fully featured services from more than 150 data centers worldwide. AWS is used by millions of customers, including the fastest-growing startups, large enterprises, and top government agencies, to reduce costs, be more agile, and innovate faster. AWS offers more services and features than any other cloud provider, including infrastructure technologies such as storage and databases, and emerging technologies such as machine learning, artificial intelligence, data lakes, analytics, and the Internet of Things. It is now easier, cheaper, and faster to move your existing apps to the cloud.

Docker eliminates repetitive, tedious configuration tasks and is used throughout development lifecycle for easy, portable, desktop, and cloud application development. Docker's complete end-to-end platform, which includes UIs CLIs, APIs, and security, is designed to work together throughout the entire application delivery cycle. Docker images can be used to quickly create your own applications on Windows or Mac. Create your multi-container application using Docker Compose. Docker can be integrated with your favorite tools in your development pipeline. Docker is compatible with all development tools, including GitHub, CircleCI, and VS Code. To run applications in any environment, package them as portable containers images. Use Docker Trusted Content to get Docker Official Images, images from Docker Verified Publishings, and more.

Microsoft Azure is a cloud computing platform that allows you to quickly develop, test and manage applications. Azure. Invent with purpose. With more than 100 services, you can turn ideas into solutions. Microsoft continues to innovate to support your development today and your product visions tomorrow. Open source and support for all languages, frameworks and languages allow you to build what you want and deploy wherever you want. We can meet you at the edge, on-premises, or in the cloud. Services for hybrid cloud enable you to integrate and manage your environments. Secure your environment from the ground up with proactive compliance and support from experts. This is a trusted service for startups, governments, and enterprises. With the numbers to prove it, the cloud you can trust.

AWS Batch allows scientists, engineers, and developers to run hundreds of thousands upon thousands of batch computing jobs on AWS. AWS Batch dynamically provision the best type and quantity of compute resources (e.g. CPU or memory optimized instances) according to the volume and specific resource needs of batch jobs submitted. AWS Batch eliminates the need to install or manage batch computing software, server clusters, or other hardware. This allows you to concentrate on analysing results and solving problems. AWS Batch schedules, executes and plans your batch computing workloads across all AWS compute services and features such as AWS Fargate and Amazon EC2 to help you analyze results and solve problems. AWS Batch is free. AWS Batch only charges for AWS resources (e.g. You only pay for the AWS resources (e.g. Fargate jobs or EC2 instances) that you use to store and manage your batch jobs.

R is a language and environment that allows for statistical computing and graphics. It is a GNU project that is very similar to the S language environment and environment, which were developed at Bell Laboratories (formerly AT&T now Lucent Technologies) in John Chambers and his colleagues. R can be seen as a different implementation to S. However, most code written for S runs without modification under R. R offers a wide range of statistical (linear, nonlinear modelling and classical statistical tests, time series analysis, classification, clustering and graphic techniques and is extensible. Research in statistical methodology is often done using the S language. R offers an Open Source way to participate in this activity. R's strength is its ability to produce well-designed publications-quality plots, including formulae and mathematical symbols.

AWS Glue, a fully managed extract-transform-and-load (ETL) service, makes it easy for customers prepare and load their data for analysis. With just a few clicks, you can create and run ETL jobs. AWS Glue simply points to the AWS Data Catalog and AWS Glue finds your data and stores metadata (e.g. AWS Glue Data Catalog contains the table definition and schema. Once your data has been cataloged, it is immediately searchable and queryable. It is also available for ETL.

Bash is a Unix shell and command-language that can be downloaded for free. It is the default login shell for most Linux distributions. Bash is available on Linux systems as well as Windows via the Windows Subsystem to Linux. Bash is the default user Shell in Solaris 11. It was also the default shell for Apple macOS from 10.3 to macOS Catalina. This changed the default shell to ZSH. Bash is still available on macOS systems as an alternative shell, despite this change. Bash is a command processor that allows users to enter commands into a text window and have them executed by the system. Bash can also read from and execute commands from a file. This is called a shell script. It supports many features that are common in Unix shells such as wildcard matching, piping and here documents, command substitution and variables, and control structures to condition testing and iteration. Bash conforms to the POSIX shell specifications.

Apache Spark™, a unified analytics engine that can handle large-scale data processing, is available. Apache Spark delivers high performance for streaming and batch data. It uses a state of the art DAG scheduler, query optimizer, as well as a physical execution engine. Spark has over 80 high-level operators, making it easy to create parallel apps. You can also use it interactively via the Scala, Python and R SQL shells. Spark powers a number of libraries, including SQL and DataFrames and MLlib for machine-learning, GraphX and Spark Streaming. These libraries can be combined seamlessly in one application. Spark can run on Hadoop, Apache Mesos and Kubernetes. It can also be used standalone or in the cloud. It can access a variety of data sources. Spark can be run in standalone cluster mode on EC2, Hadoop YARN and Mesos. Access data in HDFS and Alluxio.

You can run code without worrying about servers. Only pay for the compute time that you use. AWS Lambda allows you to run code without having to provision or manage servers. You only pay for the compute time that you use. Lambda allows you to run code for any type of backend service or application - and all this with zero administration. Upload your code, and Lambda will take care of scaling your code with high availability. Your code can be set up to trigger automatically from other AWS services, or you can call it directly from any mobile or web app. AWS Lambda runs your code automatically without you having to manage or provision servers. Simply write the code and upload it directly to Lambda. AWS Lambda automatically scales the application by running code according to each trigger. Your code runs in parallel, processing each trigger separately, scaling exactly with the workload.

Amazon EMR is the market-leading cloud big data platform. It processes large amounts of data with open source tools like Apache Spark, Apache Hive and Apache HBase. EMR allows you to run petabyte-scale analysis at a fraction of the cost of traditional on premises solutions. It is also 3x faster than standard Apache Spark. You can spin up and down clusters for short-running jobs and only pay per second for the instances. You can also create highly available clusters that scale automatically to meet the demand for long-running workloads. You can also run EMR clusters from AWS Outposts if you have on-premises open source tools like Apache Spark or Apache Hive.