SAP Hana Dynamic Tiering Installation and Configuration

Overview 

What is Dynamic Tiering? 

SAP HANA dynamic tiering is a native big data solution for SAP HANA. Dynamic tiering adds smart, disk-based extended storage to your SAP HANA database. Dynamic tiering enhances SAP HANA with large volume, warm data management capability.  

SAP HANA dynamic tiering adds the SAP HANA dynamic tiering service (esserver) to your SAP HANA system. You use this service to create the extended store and extended tables. Extended tables behave like all other SAP HANA tables, but their data resides in the disk-based extended store.  

SAP HANA Platform: Fault Tolerance Features & High Availability

Ensuring a rapidly available SAP landscape involves the eliminations of all possible points of failure within the environment. A failure in system availability is very costly and hampers the productivity of the organization. Hence monitoring measures are set in place and alerts notifications are configured to be sent out to responsible operators for any possible threats caused by but not limited to:

◉ Power Failure

◉ Hardware Failure

◉ Network Latency

◉ Data Centers

The sole purpose of Implementing a High Availability SAP HANA system is to ensure a smooth and time effective  recovery strategy from any failures. A fully automated High availability system is a combination of the following:

SAP HANA Data Strategy: HANA Data Modeling a Detailed Overview

Why talk about HANA Data Modeling?

HANA data modeling is what drives real-time analytics while lowering the total cost of ownership (TCO) and time to deliver (TDL) business insights using SAP HANA digital business platform.

SAP HANA Data Strategy

Overview

As database and business analytics professionals we have always struggled with implementing the business’s conceptual data model and analytics strategy given the limitations of traditional database technologies. We understand the data and the many attributes that allow us to view the data from many angles, but the traditional database technologies did not allow us to create very wide tables and limited the number of ways we could access the data. These limitations then drove the models to have multiple copies of data summarized for specific use cases. All of these traditional database limitations lead us to create very complex models for solving quite straight forward problems. The complexity of the data models then created limited flexibility and tremendous latency.

Data Lifecycle Manager (DLM) Database Artifacts and Data Relocation Use Cases

Today’s post goes into more depth on the database artifacts that can be generated within a DLM profile and provides more detail on the data relocation direction use cases for moving hot data to cold data storage, cold to hot data storage or bi-directional movement of data between hot and cold data stores. Let’s dive right in:

Increase HANA data capacity with – SAP HANA Native Storage Extension(NSE).

Introduction:

SAP HANA Native Storage Extension(NSE) is a general-purpose, HANA built-in warm data storage solution. This solution is available on HANA 2.0 SP04. As we all know that now a day’s value of data is enormous from an organization standpoint of view and Hence data storage solution and Access mechanism of data matter a lot. Data is broadly categorized into 3 different temperature tiers – Hot, Warm and Cold. Frozen is also there, normally it is not considered in HANA data tiering options(DTO).

SAP Native HANA best practices and guidelines for significant performance

Just putting up and writing down all the consolidated best practices and guidelines including tips for SAP HANA modeling (Majorly for version 2.0 SPS 02)

Top 10 reasons to choose SAP HANA

SAP HANA layered architecture (Great to have) and naming conventions

New SAP Help Portal Goes Live: What it Means for SAP HANA Dynamic Tiering Users

Getting to the Content

To find the dynamic tiering documentation, just search for “dynamic tiering” or “SAP HANA dynamic tiering” from the homepage.