Best Data Science Software for Oracle Cloud Infrastructure

Easy extract, transform, load (ETL), data for data science or analytics. Code-free data flows can be created into data lakes or data marts. Oracle's extensive portfolio of integration solutions. The intuitive user interface allows you to set up integration parameters and automate data mapping from sources and targets. To shape your data, you can use one of the many out-of-the box operators such as a join or aggregate. You can centrally manage your processes and use parameters to override certain configuration values at runtime. Users can view and interact with their data to validate their processes. You can increase productivity and fine-tune data flow on the fly without waiting for executions to complete. Reduce maintenance complexity and avoid broken integration flows as data schemas change.

Einblick is the fastest and most collaborative method to analyze data, make predictions, and then deploy data apps. Our canvases dramatically change the data science workflows. They make it easier to clean, manipulate, and explore data in a new interface. Our platform is the only one that allows you to collaborate with your entire team in real-time. Let's make decision-making a team activity. Don't waste your time tuning models manually. AutoML's goal is to help you make clear predictions and identify key drivers quickly. Einblick combines common analytics functionality into simple-to-use operators that allow you to abstract repetitive tasks and get answers faster. Connect your data source to Snowflake, S3 buckets, or CSV files and you'll be able to get answers in minutes. You can create a list of customers that have been churned or are currently churned, and share everything you know about them. Find out the key factors that caused churn and how at-risk each customer is.

Machine learning uncovers hidden patterns in enterprise data and generates new value for businesses. Oracle Machine Learning makes it easier to create and deploy machine learning models for data scientists by using AutoML technology and reducing data movement. It also simplifies deployment. Apache Zeppelin notebook technology, which is open-source-based, can increase developer productivity and decrease their learning curve. Notebooks are compatible with SQL, PL/SQL and Python. Users can also use markdown interpreters for Oracle Autonomous Database to create models in their preferred language. No-code user interface that supports AutoML on Autonomous Database. This will increase data scientist productivity as well as non-expert users' access to powerful in-database algorithms to classify and regression. Data scientists can deploy integrated models using the Oracle Machine Learning AutoML User Interface.

Oracle Cloud Infrastructure (OCI Data Flow) is a fully managed Apache Spark service that performs processing tasks on very large data sets. There is no infrastructure to deploy or manage. This allows developers to focus on application development and not infrastructure management, allowing for rapid application delivery. OCI Data Flow manages infrastructure provisioning, network setup, teardown, and completion of Spark jobs. Spark applications for big data analysis are easier to create and manage because storage and security are managed. OCI Data Flow does not require clusters to be installed, patched, or upgraded, which reduces both time and operational costs. OCI Data Flow runs every Spark job in dedicated resources. This eliminates the need to plan for capacity ahead. OCI Data Flow allows IT to only pay for the infrastructure resources used by Spark jobs while they are running.

BDB is a modern data analysis and BI platform that can dig deep into your data to uncover actionable insights. It can be deployed on-premise or in the cloud. Our unique microservices-based architecture includes elements such as Data Preparation and Predictive, Pipeline, Dashboard designer, and Pipeline. This allows us to offer customized solutions and scalable analysis to different industries. BDB's NLP-based search allows users to access the data power on desktop, tablet, and mobile. BDB is equipped with many data connectors that allow it to connect to a variety of data sources, apps, third-party API's, IoT and social media. It works in real-time. It allows you to connect to RDBMS and Big data, FTP/ SFTP Server flat files, web services, and FTP/ SFTP Server. You can manage unstructured, semi-structured, and structured data. Get started on your journey to advanced analysis today.

Data science platform that increases productivity and has unparalleled capabilities. Create and evaluate machine learning (ML), models of higher quality. Easy deployment of ML models can help increase business flexibility and enable enterprise-trusted data work faster. Cloud-based platforms can be used to uncover new business insights. Iterative processes are necessary to build a machine-learning model. This ebook will explain how machine learning models are constructed and break down the process. Use notebooks to build and test machine learning algorithms. AutoML will show you the results of data science. It is easier and faster to create high-quality models. Automated machine-learning capabilities quickly analyze the data and recommend the best data features and algorithms. Automated machine learning also tunes the model and explains its results.

A new decision intelligence system that puts AI in the hands commercial leaders to drive great decisions. Peak has designed CODI, our Connected Intelligence system to be a layer of intelligence between your systems. This allows you to unleash the power of your data, allowing you to make better decisions. CODI allows you to deploy AI solutions quickly and harness the full potential of your data with its unique full-stack capabilities. It gives data science and engineering teams full control over every aspect of building and deploying AI systems, quickly and efficiently. CODI allows AI projects to move beyond being experiments and become fully-deployed solutions with real world value and results. CODI, which is built on enterprise-grade infrastructure allows for data to be handled at scale and seamlessly integrates with existing tech stacks. Combine data from different departments to get more insight.

Amadea technology uses the fastest real-time modeling and calculation engine on the market. You can create, deploy, and automate your analytics projects in one integrated environment. Data quality is key to successful analytical projects. Amadea, the fastest real-time calculation engine on the market, allows companies to prepare large and/or complex data and to use it in real time, regardless of its volume. ISoft was founded on the simple observation that successful analytical projects require participation of business users at all stages. Amadea is accessible to all users and was built on a simple interface that is easy to use. Amadea's fastest real-time calculation engine allows you to specify, prototype, and build your data applications simultaneously. Amadea has the fastest real-time data analytics engine on the market with 10 million lines per second and per core for standard calculations.