Smart Data Integration
- A simplified landscape; that is, one environment in which to provision and consume data
- Access to more data formats including an open framework for new data sources
- In-memory performance, which means increased speed and decreased latency
What is smart data integration in SAP HANA?
The best of all world, combining all the features of ETL, real-time replication, and virtual tables: Smart data integration acts as a bridge between the source and HANA, reads the source data and translates the values into HANA datatype value.
What is Smart Data Integration (SDI)?
Smart Data Integration (SDI) allows you to securely transfer critical business data to and from the Commissions application, enabling you to easily synchronize and share data within your organization. Using SDI, you can transfer data pertaining to the business data objects that are defined in Commissions.
What is data integration?
What is Data Integration? Data integration is the process of combining data from different sources into a single, unified view. Integration begins with the ingestion process, and includes steps such as cleansing, ETL mapping, and transformation.
What is real-time integration and why is it important?
When systems are equipped with real-time integration, they can elevate their performance across the board. Not only will collecting data and converting it into its final, usable format take far less time and allows for actionable insights, agility, and real-time intelligence. Data integrity and data quality.
What are the two main components of SAP HANA smart data integration?
It includes two components the Data Provisioning Server on the SAP HANA database server, and the Data Provisioning Agent as an intermediary between SAP HANA and the external sources. Data Provisioning Agent hosts data provisioning adapters.
What is the difference between SDA and SDI?
SDA provides a set of adapters, all running in the Hana IndexServer and do use ODBC drivers. Nowadays the SDI provided adapters are used instead. This solution is a natural part of Hana and extends Hana SDA.
What is SAP Data Integration?
Data integration is a set of practices, tools, and architectural procedures that allow companies to consume, combine, and leverage all types of data. Along with consolidating data from disparate systems, the process ensures data is clean and free of errors to optimize its usefulness to the business.
What is smart data streaming in SAP?
SAP® HANA smart data streaming is an optional capability for SAP HANA. Installing this option enables you to collect, process, and analyze events from streaming sources in real time.
What is SAP HANA smart data access?
Smart Data Access is a data virtualization feature in SAP HANA that allows customers to access data virtually from remote sources such as Hadoop, Oracle, Teradata, SQL Server and SAP databases and combine it with data that resides in an SAP HANA database.
How does SDA work in HANA?
Smart Data Access is a SAP Technology which transfers the data from the source system tables virtually in SAP Hana system in the form of Virtual tables. These Virtual tables in SAP Hana will point towards Remote tables of any type of source system (SAP/ Non-SAP).
What is data integration in Analytics?
Data integration for analytics is the process of combining data from different applications, in different data formats, from multiple locations, to enable users and systems to more easily identify correlations and gain a fuller view of business or operational performance.
What is the preferred data integration tool for enterprise Hana landscape?
SDI is also the best use case to move HANA on-premise data to cloud or vice-versa. SAP SLT (SAP Landscape Transformation) – This tool would be still considered as the best choice when we need to perform real-time replication from ABAP to ABAP or SAP ERP to HANA as sidecar solution.
What is data integration?
Data integration initiatives — particularly among large businesses — are often used to create data warehouses, which combine multiple data sources into a relational database. Data warehouses allow users to run queries, compile reports, generate analysis, and retrieve data in a consistent format. For example, many companies rely on data warehouses such as Microsoft Azure and AWS Redshift to generate business intelligence from their data.
How does data integration help a business?
As data is integrated into a centralized system, quality issues are identified and necessary improvements are implemented, which ultimately results in more accurate data — the foundation for quality analysis.
Why is data integration important?
By delivering a unified view of data from numerous sources , data integration simplifies the business intelligence (BI) processes of analysis. Organizations can easily view, and quickly comprehend, the available data sets in order to derive actionable information on the current state of the business. With data integration, analysts can compile more information for more accurate evaluation without being overwhelmed by high volumes.
How does data integration work?
In a typical data integration process, the client sends a request to the master server for data. The master server then intakes the needed data from internal and external sources. The data is extracted from the sources, then consolidated into a single, cohesive data set. This is served back to the client for use.
What is data lake?
Data lakes can be highly complex and massive in volume. Companies like Facebook and Google, for instance, process a non-stop influx of data from billions of users. This level of information consumption is commonly referred to as big data. As more big data enterprises crop up, more data becomes available for businesses to leverage. That means the need for sophisticated data integration efforts becomes central to operations for many organizations.
What happens if an employee is unaware of the data repository?
If a data repository is added, and that employee is unaware, they will have an incomplete data set. Additionally, without a data integration solution that synchronizes data, reporting must be periodically redone to account for any changes.
What data is needed for 360 view?
For example, for a typical customer 360 view use case, the data that must be combined may include data from their CRM systems, web traffic, marketing operations software, customer — facing applications, sales and customer success systems, and even partner data, just to name a few. Information from all of those different sources often needs to be pulled together for analytical needs or operational actions, and that can be no small task for data engineers or developers to bring them all together.
Understand Architecture and Involved HANA Objects
The remote source object of HANA holds all information required to connect to a specific source system.
General Steps - SDI
Regardless if SAP HANA Smart Data Integration is used in the cloud or on premise there are general steps that need to be completed to successfully enable communication between the source system and the target HANA system in order to start creating replication tasks or flowgraphs to move the data. The general steps to complete are:
General Steps - SDQ
There are additional steps required for setting up SAP HANA Smart Data Quality. These steps need to be completed in order to use the transformation nodes of Cleanse, Match, and Geocoding. The Installation and Configuration Guide contains additional information.
Next Step
Create a Replication task to set up batch or real-time data replication Replication tasks can be configured for Initial load, Initial + Realtime, Realtime only, with and without data transfer and with and without the schema changes, depending on your business needs.
Designing Transformations
Let’s start with a very simple dataflow, I want to read news from CNN, check if the text “SAP” is part of the news description and put the result into a target table. Using Hana Studio, we create a new Flowgraph Model repo object and I dragged in the source, a first simple transformation and the target table.
Adapters
How does Hana get the news information from CNN? Via a Java adapter. That is the second major enhancement we built for SP9. Every Java developer can now extend Hana by writing new Adapters with a few lines of code. The foundation of this feature is Hana Smart Data Access.
What are the benefits of data integration?
Benefits of Data Integration 1 Data integrity and data quality 2 Seamless knowledge transfer between systems 3 Easy available, fast connections between data stores 4 Increased efficiency and ROI 5 Better customer and partner experience 6 Complete view of business intelligence, insights, and analytics 7 Ultimately, data integration allows for a full overview of business
What is Data Integration, and How Does it Work?
Data integration is the process of combining data from various sources into one, unified view for effecient data management, to derive meaningful insights, and gain actionable intelligence.
Why is integrated data important?
Integrated data unlocks a layer of connectivity that businesses need if they want to compete in today’s economy. By connecting systems that contain valuable data and integrating them across departments and locations, organizations are able to achieve data continuity and seamless knowledge transfer. This benefits the company as a whole, not just a team or individual, promoting intersystem cooperation.
How many data connectors are there?
With over 100+ built-in data connectors, it it removes the need for multiple integrations or complex code. All data sources are aggregated into a single platform, regardless of where your data sits, decreasing latency, delivering big data quickly, and in real time.
What is data warehouse?
Creating a data warehouse: Data warehouses allow you to integrate different sources of data into a master relational database. By doing this, you can run queries across integrated data sources, compile reports drawing from all integrated data sources, and analyze and collect data in a uniform, usable format from across all integrated data sources.
Do you need real time data integration?
Not only do they need to collect data across every customer, store, warehouse, website, and application, they need real-time data integration in order to function properly at scale.
What is smart data integration?
The best of all world, combining all the features of ETL, real-time replication, and virtual tables: Smart data integration acts as a bridge between the source and HANA, reads the source data and translates the values into HANA datatype value. It Batch load and/or replicate changed data in real-time from source to SAP HANA tables providing immediate visibility into conditions located in either SAP HANA or source.
What is SDI used for?
Along with integration, SDI can be used to draw meaning insights based on predictive patterns and using machine learning and other algorithms.
Why use SFDC adapter for SDI?
The SFDC Adapter for SDI supports Salesforce session reuse in order to reduce the number of login call to Salesforce.com. Salesforce session reuse will automatically renew the session if the current one is expired.
What is SAP HANA SDI?
SDI as the capability to integrate and cleanse data. The SAP HANA SDI provide SAP HANA Web-based Development Workbench to create flow graphs to transform data. The flow graph enables ETL based batch and Real-time data flows. There are a wide variety of options available to meet the transformation data such as filtering, joining, aggregating, cleansing and more.
What is SAP SDI adapter?
The SDI adapter is hosted on an S/HANA data provisioning agent and acts as a bridge between Salesforce and HANA, reads the source data and translates the values into HANA datatype value.
Can we browse metadata tables?
We can browse the metadata tables which are provided by the adapter, each table corresponds to one sObject.
Can you use SDI adapter in S/4HANA?
As the SQL query runs directly in the source system, using the SDI Adapter you can virtually access the data without the need to copy the data to S/4HANA.
Integration Helps Businesses Succeed
- Even if a company is receiving all the data it needs, that data often resides in a number of separate data sources. For example, for a typical customer 360 view use case, the data that must be combined may include data from their CRM systems, web traffic, marketing operations software, customer — facing applications, sales and customer success syst...
Data Integration in Modern Business
- Data integration isn’t a one-size-fits-all solution; the right formula can vary based on numerous business needs. Here are some common use cases for data integration tools:
ETL and Data Integration
- Extract, Transform, Load, commonly known as ETL, is a process within data integration wherein data is taken from the source system and delivered into the warehouse. This is the ongoing process that data warehousing undertakes to transform multiple data sources into useful, consistent information for business intelligence and analytical efforts.
Challenges to Data Integration
- Taking several data sources and turning them into a unified whole within a single structure is a technical challenge unto itself. As more business build out data integration solutions, they are tasked with creating pre-built processes for consistently moving data where it needs to go. While this provides time and cost savings in the short-term, implementation can be hindered by numer…
Integration Strategies For Business
- There are several ways to integrate data that depend on the size of the business, the need being fulfilled, and the resources available. 1. Manual data integrationis simply the process by which an individual user manually collects necessary data from various sources by accessing interfaces directly, then cleans it up as needed, and combines it into one warehouse. This is highly inefficie…
Data Integration Tools
- Data integration tools have the potential to simplify this process a great deal. The features you should look for in a data integration tool are: 1. A lot of connectors.There are many systems and applications in the world; the more pre-built connectors your Data Integration tool has, the more time your team will save. 2. Open source.Open source architectures typically provide more flexib…
The Key to Achieving Full Data Potential
- Business intelligence, analytics, and competitive edges are all at stake when it comes to data integration. That’s why its critical for your company to have full access to every data set from every source. Talend Cloud Integration Platform helps businesses consolidate data from virtually any source and prepare it for analysis with any data warehouse. Download a free trialand see wh…