Fully managed cloud services that enable enterprises to create data lakes and perform big data processing in the cloud are being rapidly adopted allowing business to focus on competitive differentiators and spend less time on maintaining infrastructure.
We use Azure data factory pipelines to get data from multiple data sources. Pipelines can be
triggered in per scheduled time or event base. Azure logic app helps us to perform repeated logical
tasks over fetched data. Now data is being stored in azure data lake which is a hyper data repository
which can store structured / unstructured data.
Now we can perform data mining and cleaning activities over data in datalake using Azure databricks which is a spark platform supports SQL/Python/R/Scala languages at same time.
Cleaned and curated data will be stored in application databases, which will be shared to end users using azure API services.
Improve data copy performs as all services are auto scalable and serverless environment helps to reduce compute cost. All connector are provided by Microsoft and are free.
Marketo, Azure Data Factory, Azure Databricks, Azure Logic Apps, Azure API, Azure Datalake, Azure SQL, Azure Microservice, Azure Analytics.
This whitepaper is about obscuring sensitive parts of the original data that is held in databases. This process is known as Data Masking. With data breach incidents regularly making news headlines, it’s no wonder that safeguarding confidential business and customer information has become more important than ever. In data masking, real data is obscured by random characters or other datum. It covers classified data points from those who don’t have permission to view it. There are a number of techniques that IT professionals can use when masking data. This whitepaper discusses one of the data masking technique and how it will apply to your business.
The idea of integration is to provide the capabilities needed to exchange information between Salesforce.com and SAP. But to do so using an easy-to-use technology that’s custom made for these integration requirements, including connectivity, transformation and mapping, and controlled data movement.
We connect to several data sources like SAP, Salesforce, PayPal websites, EDI platform etc to fetch data into our systems.
When integrating SAP to Salesforce.com, we need to consider connectivity, data movement, transformation, schemas and records, and transactions.
To Improve data copy performs, we connect and control all of our data flows from a single platform for maximized productivity, business continuity and organizational efficiency. With the speed and consistency that comes from automating our business processes, we are able to eliminate repetitive, manual tasks.
Our integration platform keeps the connections up to date throughout the application lifecycle so your business needs are never interrupted.
Magic XPI Integration Tool, MS SQL Server, SAP HANA DB, Salesforce and SAP B1