SAP HANA is an in-memory, column-oriented, relational database management system (RDBMS) developed by SAP SE. It is designed to handle high volumes of transactional and analytical data in real-time, leveraging in-memory computing to deliver fast data processing and analytics capabilities. SAP HANA eliminates the need for separate databases and data warehouses by combining transactional and analytical processing into a single platform, allowing organizations to simplify their IT landscapes and accelerate business processes. With its advanced features such as in-memory data storage, parallel processing, advanced analytics, and machine learning capabilities, SAP HANA enables organizations to gain real-time insights, make faster decisions, and innovate more effectively.
SNS Tech Academy offers comprehensive SAP HANA online training in Hyderabad, India, providing individuals with the essential skills and knowledge needed to excel in the dynamic field of in-memory computing and data management. The training program covers a wide range of SAP HANA concepts, including database architecture, data modeling, administration, development, and advanced analytics. Participants engage in hands-on labs, real-world projects, and personalized mentoring sessions, gaining practical experience in deploying and managing SAP HANA solutions. Whether aspiring database administrators, developers, or business analysts seeking to leverage SAP HANA's capabilities, learners receive expert guidance and certification preparation to succeed in today's competitive job market. SNS Tech Academy's SAP HANA online training equips individuals with the expertise to drive innovation, optimize business processes, and unlock new opportunities in data-driven organizations.
SAP HANA Online Training course content :-
Introduction
Introduction to SAP HANA
SAP In-Memory Strategy
HANA compare to BWA
Look &Feel
In-Memory Computing Studio
Administration view
Navigator View
System Monitor
Information Modeler
Architecture
Architecture Overview
IMCE and Surroundings
Row Store
Column Store
Loading data into HANA
Data Modeling
Reporting
Persistent Layer
Backup & Recovery
Data Provisioning
Replication Server
Replication Process
Replication Architecture
Data Services
SAP BODS and HANA
Basic Data service Connection types
New to Data services 40
Full Extractor though ODP
Configure Import server
Create and execute a Data Service Job to Populate HANA
Modeling
Purpose of Information Modeler
Levels of Modeling in SAP HANA
Attribute Views
Analytic Views
Calculation Views
Export & Import
Reporting
HANA, Reporting Layer
Connectivity options
MS Excel Reporting for HANA
Overview of Business Objects
ODBC/JDBC Connections
Security and User Management in HANA
Creation of Users
Creation of Roles
Assignment Privileges to Roles
Assignment of Users to roles
User Management
Creation of Users
Creation of Roles
Creation of Role Hierarchy
Assignment of Users to Roles
Authentication
IMCE Authorizations
SAP HANA is an in-memory, column-oriented, relational database management system developed by SAP SE. Unlike traditional databases that store data on disk and retrieve it into memory for processing, SAP HANA stores data in-memory, allowing for faster data processing and analytics. This in-memory architecture enables real-time data analysis, faster query performance, and simplified data management.
In-memory computing in SAP HANA refers to the practice of storing and processing data in the main memory (RAM) of the server, rather than on disk. By keeping data in-memory, SAP HANA eliminates the need to access data from slower disk-based storage, resulting in significantly faster data processing speeds and reduced latency. This enables real-time analytics, faster query performance, and quicker response times for business transactions.
SAP HANA Studio is an integrated development environment (IDE) used for administration, development, and monitoring of SAP HANA systems. It provides a graphical user interface (GUI) for performing tasks such as creating and managing database objects, configuring system settings, monitoring system performance, and troubleshooting issues. SAP HANA Studio is commonly used by database administrators, developers, and analysts to interact with SAP HANA systems.
A calculation view in SAP HANA is a type of database object used for creating complex analytical models and performing advanced data processing tasks. Calculation views allow users to combine and manipulate data from multiple tables or views using various calculation methods such as aggregation, filtering, and joins. They are commonly used for building analytical reports, predictive models, and data visualizations in SAP HANA.
In SAP HANA, the row store is used to store tables with a row-based storage format, where each row of data is stored sequentially on disk. The column store, on the other hand, is used to store tables with a column-based storage format, where data from each column is stored sequentially on disk. The column store is optimized for analytical queries and aggregations, while the row store is optimized for transactional processing and individual row retrievals.
SAP HANA supports several types of joins, including inner join, left outer join, right outer join, full outer join, and text join. Inner join returns only the rows that have matching values in both tables, left outer join returns all rows from the left table and matching rows from the right table, right outer join returns all rows from the right table and matching rows from the left table, and full outer join returns all rows when there is a match in either table. Text join is used to join text data based on similarity.
SAP HANA Smart Data Integration (SDI) is a component of SAP HANA that allows users to integrate and replicate data from various source systems into SAP HANA in real-time or batch mode. SDI supports a wide range of data sources, including databases, flat files, streaming data, and cloud-based applications, enabling organizations to consolidate and analyze data from disparate sources in SAP HANA.
SAP HANA dynamic tiering is a feature that allows organizations to manage and optimize the storage of less frequently accessed data in SAP HANA. With dynamic tiering, organizations can offload older or colder data from the main memory to disk-based storage, reducing the memory footprint and lowering costs while still maintaining query performance for hot data. This enables organizations to scale their SAP HANA deployments cost-effectively and efficiently manage large volumes of data.
SAP HANA XS Advanced (XSA) is a platform-as-a-service (PaaS) offering for developing and deploying applications on SAP HANA. It provides a runtime environment and development tools for building native SAP HANA applications, microservices, and web applications using languages such as Node.js, Java, and Python. XSA enables developers to leverage the power of SAP HANA for building scalable, high-performance applications that take advantage of in-memory computing and advanced analytics capabilities.
SAP HANA provides built-in support for advanced analytics and machine learning through features such as predictive analytics, text analytics, and machine learning algorithms. It offers libraries and tools for data scientists and analysts to develop and deploy predictive models directly within the SAP HANA platform, enabling real-time insights and actionable intelligence for business decision-making. Additionally, SAP HANA integrates with popular machine learning frameworks such as TensorFlow and scikit-learn, allowing organizations to leverage their existing machine learning workflows and algorithms in SAP HANA.
