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• With the HANA TECHNOLOGY, you can create gen-next APPLICATIONS giving effective and EFFICIENT results in the digital economy.
• By USING single data-in MEMORY, SAP HANA supports smooth transaction process and fault-tolerant analytics
• Easy and simple operations using an open-source, unified platform in the cloud
• High-level Data Integration to access massive amounts of data
• Advanced tools for in-depth analysis of present, past and the future.Interested in learning SAP HANA? Well, we have the comprehensive Sap Hana Course to give you a head start in your career.

• With the HANA technology, you can create gen-next applications giving effective and efficient results in the digital economy.
• By using single data-in memory, SAP HANA supports smooth transaction process and fault-tolerant analytics
• Easy and simple operations using an open-source, unified platform in the cloud
• High-level Data Integration to access massive amounts of data
• Advanced tools for in-depth analysis of present, past and the future.Interested in learning SAP HANA? Well, we have the comprehensive Sap Hana Course to give you a head start in your career.

• SAP HANA Studio
• SAP HANA APPLICATION Cloud
• SAP HANA Cloud
• Sap HANA DB The Sap Hana TRAINING VIDEOS and Certification Course can open the doors to a stellar CAREER for you.

• SAP HANA Studio
• SAP HANA Application Cloud
• SAP HANA Cloud
• Sap HANA DB The Sap Hana Training Videos and Certification Course can open the doors to a stellar career for you.

SLT expands to SAP Landscape Transformation referring to trigger –based REPLICATION. SLT replication permits data transfer from SOURCE to target, where the source can be SAP or non-SAP while the target system has to be SAP HANA with HANA database. Users can accomplish data replication from multiple sources. The three replication techniques supported by HANA are:

• SLT
• SAP Business Objects Data Services (BODS)
• SAP HANA Direct Extractor CONNECTION (DXC)

SLT expands to SAP Landscape Transformation referring to trigger –based replication. SLT replication permits data transfer from source to target, where the source can be SAP or non-SAP while the target system has to be SAP HANA with HANA database. Users can accomplish data replication from multiple sources. The three replication techniques supported by HANA are:

• SLT
• SAP Business Objects Data Services (BODS)
• SAP HANA Direct Extractor Connection (DXC)

• Run-length ENCODING
• CLUSTER encoding
• DICTIONARY encoding

• Run-length encoding
• Cluster encoding
• Dictionary encoding

Modeling STUDIO is an operational tool in SAP HANA based on Eclipse development and administration, which INCLUDES LIVE project creation.

• The SAP HANA Studio further builds development objects and deploys them, to access and modify data models like HTML and JavaScript files.
• It also handles various data services to PERFORM data input from SAP warehouse and other related databases.
• Responsible for scheduling data replication tasks.

Modeling Studio is an operational tool in SAP HANA based on Eclipse development and administration, which includes live project creation.

• The SAP HANA Studio further builds development objects and deploys them, to access and modify data models like HTML and JavaScript files.
• It also handles various data services to perform data input from SAP warehouse and other related databases.
• Responsible for scheduling data replication tasks.

The persistence layer in SAP HANA handles all logging operations and transactions for secured backup and DATA RESTORING. This layer MANAGES data stored in both rows and columns and provides steady savepoints. Built on the concept of persistence layer of SAP’s relational database, it ensures successful data restores.

Besides managing log data on the disk, HANA’s persistence layer allows read and write data operations via all storage INTERFACES.

The persistence layer in SAP HANA handles all logging operations and transactions for secured backup and data restoring. This layer manages data stored in both rows and columns and provides steady savepoints. Built on the concept of persistence layer of SAP’s relational database, it ensures successful data restores.

Besides managing log data on the disk, HANA’s persistence layer allows read and write data operations via all storage interfaces.

Index Server consists of ACTUAL DATA engines for data processing including input SQL and MDX statements and performs authentic TRANSACTIONS.

Index Server consists of actual data engines for data processing including input SQL and MDX statements and performs authentic transactions.

Since analytic APPLICATIONS REQUIRE massive aggregations and agile data processing, column-based tables are preferred in SAP HANA as the data in column is stored consequently, one after the other enabling faster and easier readability and retrieval. Thus, columnar storage is preferred on most OLAP (SQL) queries. On the CONTRARY, row-based tables force users to read and access all the information in a row, even though you require data from few and/or specific columns.

Since analytic applications require massive aggregations and agile data processing, column-based tables are preferred in SAP HANA as the data in column is stored consequently, one after the other enabling faster and easier readability and retrieval. Thus, columnar storage is preferred on most OLAP (SQL) queries. On the contrary, row-based tables force users to read and access all the information in a row, even though you require data from few and/or specific columns.

• ALLOWS smoother PARALLEL processing of data as the data in columns is stored vertically. Thus, to access data from multiple columns, every operation can be allocated to a separate processor core.
• Only specific columns need to be approached for SELECT query and any column can be used for indexing.
• Efficient operations since most columns hold UNIQUE VALUES and thus, high compression rate.

• Allows smoother parallel processing of data as the data in columns is stored vertically. Thus, to access data from multiple columns, every operation can be allocated to a separate processor core.
• Only specific columns need to be approached for Select query and any column can be used for indexing.
• Efficient operations since most columns hold unique values and thus, high compression rate.

MERITS:

• No data approach can be faster than row-based if you want to analyze, process and retrieve one record at one time.
• Row-based tables are useful when there is specific demand of ACCESSING complete record.
• It is preferred when the table consists of less number of rows.
• This data storage and processing approach is easier and EFFECTIVE without any aggregations and FAST searching.Demerits:
• The data retrieval and processing operations involve the complete row, even though all the INFORMATION is not useful.

Merits:

• No data approach can be faster than row-based if you want to analyze, process and retrieve one record at one time.
• Row-based tables are useful when there is specific demand of accessing complete record.
• It is preferred when the table consists of less number of rows.
• This data storage and processing approach is easier and effective without any aggregations and fast searching.Demerits:
• The data retrieval and processing operations involve the complete row, even though all the information is not useful.

The NUMBER of data transfer JOBS change when the initial loading speed or LATENCY replication TIME is not up to the mark. At the end of the initial load, the number of initial load jobs may be reduced.

The number of data transfer jobs change when the initial loading speed or latency replication time is not up to the mark. At the end of the initial load, the number of initial load jobs may be reduced.

No

No

PAUSE the REPLICATION PROCESS and TERMINATE the schema-related JOBS.

Pause the replication process and terminate the schema-related jobs.

A Master-controller job is responsible to build database LOGGING table in the source system. It further CREATES synonyms and new ENTRIES in SLT server ADMIN when the table loads / replicates.

A Master-controller job is responsible to build database logging table in the source system. It further creates synonyms and new entries in SLT server admin when the table loads / replicates.

Each SQL statement in SAP HANA is carried out in the FORM of a transaction. EVERY time, a NEW session is allocated to a new transaction.

Each SQL statement in SAP HANA is carried out in the form of a transaction. Every time, a new session is allocated to a new transaction.

SAP HANA transaction MANAGER synchronizes database transactions keeping the record of closed and open transactions. When a transaction is committed or ROLLED BACK, the manager INFORMS all the active stores and engines about the action so that they can perform required actions in time.

SAP HANA transaction manager synchronizes database transactions keeping the record of closed and open transactions. When a transaction is committed or rolled back, the manager informs all the active stores and engines about the action so that they can perform required actions in time.

Using advanced REPLICATION SETTINGS, TRANSFORMATION rules are SPECIFIED to transfer data from source tables during replication process. For instance, setting rules to covert FIELDS, fill vacant fields and skip records. These rules are structured using advanced replication settings (transaction IUUC_REPL_CONT)

Using advanced replication settings, transformation rules are specified to transfer data from source tables during replication process. For instance, setting rules to covert fields, fill vacant fields and skip records. These rules are structured using advanced replication settings (transaction IUUC_REPL_CONT)

Logging table records all replicated changes in the table, which can be further replicated to the TARGET SYSTEM.

Logging table records all replicated changes in the table, which can be further replicated to the target system.

They are SLT Replication APPLICATION SERVERS to provide configuration INFORMATION for DATA replication. This replication status can also be MONITORED.

They are SLT Replication Application Servers to provide configuration information for data replication. This replication status can also be monitored.

There are primarily three TYPES of information views in SAP HANA, which are all non-materialized.

• Attribute view
• Analytic view
• CALCULATION View

There are primarily three types of information views in SAP HANA, which are all non-materialized.

• Attribute view
• Analytic view
• Calculation View

The waiting PROCESS for DATA to load from the MAIN MEMORY to the CPU cache is called STALL.

The waiting process for data to load from the main memory to the CPU cache is called Stall.

Configuration is the meaningful information to establish a connection between SOURCE, SLT SYSTEM and SAP HANA architecture as STATED in the SLT system. Programmers are allowed to illustrate a new Configuration in Configuration and MONITORING DASHBOARD.

Configuration is the meaningful information to establish a connection between source, SLT system and SAP HANA architecture as stated in the SLT system. Programmers are allowed to illustrate a new Configuration in Configuration and Monitoring Dashboard.

During a REGULAR OPERATION, data is by DEFAULT stored to the disk at savepoints in SAPHANA. As soon a there is any update and transaction, logs BECOME active and get saved from the disk memory. In case of power failure, the DATABASE restarts like any other DB returning to the last savepoint log state. SAP HANA requires backup to protect against disk failure and reset DB to the previous state. The backups simultaneously as the users keep performing their tasks.

During a regular operation, data is by default stored to the disk at savepoints in SAPHANA. As soon a there is any update and transaction, logs become active and get saved from the disk memory. In case of power failure, the database restarts like any other DB returning to the last savepoint log state. SAP HANA requires backup to protect against disk failure and reset DB to the previous state. The backups simultaneously as the users keep performing their tasks.

SAP HANA DB
SAP HANA Studio
SAP HANA Appliance
SAP HANA APPLICATION CLOUD

SAP HANA DB
SAP HANA Studio
SAP HANA Appliance
SAP HANA Application Cloud

In the HANA database, each SQL statement is IMPLEMENTED in the reference of the transaction. NEW session is allotted to a new transaction.

In the HANA database, each SQL statement is implemented in the reference of the transaction. New session is allotted to a new transaction.

You can avoid un-necessary logging INFORMATION from being stored by PAUSING the replication by STOPPING the schema-related JOBS.

You can avoid un-necessary logging information from being stored by pausing the replication by stopping the schema-related jobs.

The TRANSACTION manager co-ordinates database transactions and keeps a record of running and CLOSED transactions. When transaction is rolled back or committed, the transaction manager NOTIFIES the involved storage engines about the event so they can RUN necessary actions.

The transaction manager co-ordinates database transactions and keeps a record of running and closed transactions. When transaction is rolled back or committed, the transaction manager notifies the involved storage engines about the event so they can run necessary actions.

If the REPLICATION is SUSPENDED for a longer PERIOD of time, the size of the logging TABLES increases.

If the replication is suspended for a longer period of time, the size of the logging tables increases.

The job is arranged on demand and is responsible for

• Creating database triggers and LOGGING table into the SOURCE system
• Creating Synonyms
• Writing NEW ENTRIES in admin TABLES in SLT server when a table is replicated/loaded

The job is arranged on demand and is responsible for

To AVOID un-necessary INFORMATION from being STORED, you have to pause the replication by STOPPING the schema-related JOBS

To avoid un-necessary information from being stored, you have to pause the replication by stopping the schema-related jobs

• SAP SLT works on trigger BASED approach; such approach has no MEASURABLE performance impact in the source system
• It offers filtering capability and transformation
• It enables real-time data replication, replicating only related data into HANA from non-SAP and SAP source SYSTEMS
• It is fully integrated with HANA STUDIOS
• Replication from several source systems to one HANA system is allowed, also from one source system to multiple HANA systems is allowed.

Transformation rule is the rule SPECIFIED in the ADVANCED REPLICATION setting transaction for the source table such that DATA is transformed during the replication process.

Transformation rule is the rule specified in the advanced replication setting transaction for the source table such that data is transformed during the replication process.

LATENCY is referred to the LENGTH of TIME to replicate data from the SOURCE system to the target system.

Latency is referred to the length of time to replicate data from the source system to the target system.

There are THREE DIFFERENT COMPRESSION techniques
Run-length ENCODING
Cluster encoding
Dictionary encoding

There are three different compression techniques
Run-length encoding
Cluster encoding
Dictionary encoding

Modeling STUDIO in HANA performs multiple task like

• Declares which tables are stored in HANA, first part is to get the meta-DATA and then schedule data REPLICATION jobs
• Manage Data Services to enter the data from SAP Business Warehouse and other systems
• Manage ERP instances connection, the current release does not support connecting to SEVERAL ERP instances
• Use data services for the modeling
• Do modeling in HANA itself
• essential licenses for SAP BO data services

Modeling studio in HANA performs multiple task like

SAP HANA has an in-memory computing engine and ACCESS the data straightaway WITHOUT any backup. To avoid the RISK of losing data in CASE of hardware failure or power cutoff, PERSISTENCE layer comes as a savior and stores all the data in the hard drive which is not volatile.

SAP HANA has an in-memory computing engine and access the data straightaway without any backup. To avoid the risk of losing data in case of hardware failure or power cutoff, persistence layer comes as a savior and stores all the data in the hard drive which is not volatile.

The two TYPES of relational DATA STORED in HANA includes

1. ROW STORE
2. Column Store

The two types of relational data stored in HANA includes

SAP HANA stands for High Performance Analytical Appliance- in-memory computing engine. HANA is linked to ERP systems; FRONTEND modeling STUDIO can be used for replication SERVER management and load control.

SAP HANA stands for High Performance Analytical Appliance- in-memory computing engine. HANA is linked to ERP systems; Frontend modeling studio can be used for replication server management and load control.