Data Analytics and AI with Oracle Cloud

Data Analytics and Management with Oracle

Data is a core enterprise asset as organizations strive to be data-centric. In order to leverage the real value of the data, it is important to make it available real-time in an easy-to-read form. Deriving useful data from large data sets can be challenging. With data scattered across devices, geographical locations and platforms, obtaining information at the right time and place can be difficult. Gaining access to integrated information quickly and effectively, as well as in an easy-to-use format is the need of the hour.

CloudLeaf uses Oracle Analytics, a comprehensive platform that offers data-related solutions for on-premise, Cloud and hybrid application data. Embedded with Machine Learning, Oracle Analytics uses automation and Business Intelligence to garner insights from business data. It helps to create and share engaging and easy-to-understand insights by reading the signals in complex data.

CloudLeaf Data Analytics Services with OCI

CloudLeaf helps organizations have access to a unified data platform along with cognitive analytics. Our comprehensive data and analytics services help you to derive actionable insights from your disparate data to anticipate and be ready for any kind of a disruption. We use Oracle Analytics Cloud, a scalable and secure Oracle Cloud platform that contains a complete set of tools to support your entire analytics workflow.

Power Your Analytics with Oracle
Exadata Database Service

Power Your Analytics with Oracle Exadata Database Service.

Data warehousing: Exadata can be optimized to build and run high-performing data warehouses.

Business Intelligence: With advanced analytics capabilities like ML and data mining, Exadata supports business intelligence workloads enabling you to build and deploy analytics dashboards, reports, and other BI applications. Exadata provides fast query performance, which is critical for supporting interactive and real-time analytics.

Big Data Analytics: Exadata can be integrated with Hadoop and other big data platforms, enabling you to store and analyze large volumes of structured and unstructured data. Exadata supports advanced analytics on big data, including machine learning, predictive analytics, and natural language processing.

In-Database Analytics: Exadata includes a number of advanced analytics features that can be used to perform analytics directly within the database. These features include in-database machine learning, data mining, and spatial analytics.

Real-Time Analytics: Exadata provides fast query performance and high availability, making it an ideal platform for supporting real-time analytics workloads. With Exadata, it enables streaming data in real-time, useful for making faster and more informed decisions.

OCI Data Lakes and Data Warehouse Solutions

Ingestion

OCI Data Integration:

Used for common ETL tasks such as ingesting data from different sources, cleansing, transforming, and reshaping the data before loading it to target data sources on OCI.

OCI Goldengate:

Used to design, run, orchestrate, and monitor data replication tasks without having to allocate or manage any compute environments.

Oracle Integration Cloud (OIC):

Enables integration of applications, automating of processes and gaining insights into your business processes.

OCI Streaming (Kafka Compatible):

Used for ingesting and consuming high-volume data streams in real-time.

Storage

Oracle Object Storage:

An internet-scale, high-performing storage platform that offers data durabilitywith capacity to store unlimited amount of unstructured data of any content type, including images and videos.

Visualization

Oracle Analytics Cloud:

Has Al-powered, self-service analytics capabilities for data preparation, visualization, enterprise reporting, augmented analysis, and NLP

Oracle Autonomous Database (Apex):

Fully managed, preconfigured database environment with four workload types: Autonomous Transaction Processing, Autonomous Data Warehouse, Oracle APEX Application Development, and Autonomous JSON Database.

Transformation

OCI Datacatalog:

A fully managed, self-service data discovery and governance solution for enterprise data. for managing technical, business, and operational metadata. It allows collection, organizing, finding, accessing, understanding, enriching, and activating this metadata.

OCI Dataflow:

A fully managed service for running Apache Spark TM applications.

OCl BigData:

Big Data supplies fully configured, secure, highly available, and dedicated Hadoop and Spark clusters on demand.

OCI Data Science:

A fully managed and serverless platform to build, train, and manage ML models in the Oracle Could Infrastructure.

Leverage AI-Powered Data Analytics with CloudLeaf

CloudLeaf uses Oracle Analytics platform’s capabilities to address the entire data analytics process that includes data ingestion, modeling, data preparation, enrichment, visualization and collaboration. We adhere to strict security and governance standards as well as industry best practices to give your organization an analytics-driven data management system. With AI, ML, and NLP tools embedded into the system, you can gain intuitive, meaningful visualization into your data, real-time, and at scale.

CONNECT

Unify data sources with JDBC or other connections
Securely create, manage and share connections across the organization

PREPARE

Data cleansing, aggregation and transformation
Data Quality Analysis
Run Machine Learning models to enable data sharing

MODEL

Develop Semantic models to gain a consistent view of business-critical data
Create self-service datasets
Infuse intelligent analysis with ML insights at scale

EXPLORE

Visualise datasets on any device, and from anywhere
Use data visualization tools to create easy models to understand the data

Create collaborative channels for SMES to collaborate with business users
Enable fine-grained access and security at data-level to simplify data sharing and usage
Create automated analytics delivery and monitoring

CONSUME

Mobile applications use unique pattern analysis to deliver intelligent recommendations
Application developers can embed customized analytical experiences into the application flow