#SAP Backend for Charging

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Building the Human with SAP CPM Online Training

SAP CPM Online Training will pick out up the statistics at the enterprise paperwork secured through SAP Commercial Project Management, to benefit a selected comprehension of the functionalities of SAP Commercial Project Management, define at the association alternatives for SAP CPM and pick out the important aspect functions of becoming a member of with supporting SAP frameworks. In this education an aspirant will likewise pick out up the information on records the extended diploma engineering and framework requirements to understand the crucial element reconciliation focuses with SAP ERP and recognize the information version of mission rate and sales planning.

What Is SAP CPM?

SAP Commercial Project Management offers preparations that cope with the middle business employer manner necessities of agencies that offer assignment primarily based absolutely administrations to their customers. It covers various techniques in a begin to complete state of affairs spreading over the selling, arranging, executing, searching at, and controlling of ventures. Organizations that promote ventures can make use of those answers for added professionalize their middle commercial enterprise workplace paintings and growth beyond lower back place of work competencies. Task workspace and project rate and sales planning provide manner based totally, natural UIs that permit you to paintings with complex economic and non-cash related information.

SAP CPM Online Training registration sorts:

Educator led normal online schooling

On request educator led online schooling

Compensations of SAP CPM training at digital nuggets

Situation oriented SAP CPM schooling.

Resources and certification steering For SAP business mission manipulate.

Entrance for palms-on

Redone route schedule for SAP CPM.

Live-Support in some unspecified time in the destiny of SAP CPM Online Training Sessions Hours.

SAP CPM Online Training is instructed by using an completed licensed expert who will show you the basics you want to recognize to launch your SAP vocation. The training make you increasingly gainful along facet your SAP CPM. The encouraging style is virtually concerned right right right here. You will approach the artwork place show and can be effectively leading palms-on labs on your painting vicinity.

SAP CPM Online Training has a dishonest to the situations of the Lead-to-coins scenario for task company. Expanding the abilties of the SAP Business Suite, the association allows a start to finish inclusion of the company task the board machine. SAP CPM schooling constantly interfaces the complete backend like money associated or college frameworks with frontend packages, for instance, MS Excel, so clients can without an awful lot of a stretch affiliation and decide project charges and earning

This schooling is rendered with the resource of satisfactory difficulty rely professional and the educational bodily sports organized through using those draw near agency partnered coaches are made with maximum contemporary enterprise refreshes. Classes are handy for individual virtually as for business enterprise clusters on request.

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SNOWFLAKE PRICING

Understanding Snowflake Pricing: A Guide to Optimizing Your Costs

Snowflake has disrupted the data warehousing landscape with its cloud-based architecture and flexible pricing. Understanding how Snowflake’s billing model works is crucial to controlling costs and maximizing the value of this powerful platform. Let’s break down the key elements.

Snowflake’s Credit-Based Model

Snowflake doesn’t rely on fixed hardware or licensing costs, unlike traditional data warehouses. Instead, it uses a consumption-based model based on credits. Here’s how it works:

Compute Credits: Credits are used for virtual warehouses, which are the processing power behind your queries and data transformations. Each second a warehouse runs, it consumes credits.

Storage Credits: Snowflake charges you based on the average compressed data stored within your account monthly.

Cloud Services Credits: Snowflake manages many backend processes automatically, such as metadata management and infrastructure optimization. These services consume a small percentage of your overall credits.

Snowflake Editions: Choosing the Right Fit

Snowflake offers several editions, each tailored to different needs and budgets:

Standard: The ideal starting point, providing core data warehouse features.

Enterprise: Offers additional security, governance, and performance enhancements for larger datasets and complex workloads.

Business Critical: Features advanced security and compliance controls, vital for highly regulated industries.

Virtual Private Snowflake (VPS): A dedicated, isolated Snowflake environment for maximum control and privacy.

Pricing Factors: It’s Not Just About Edition

Beyond choosing your edition, your Snowflake bill depends on the following:

Warehouse Sizes: Larger virtual warehouses (more compute power) consume more credits per second.

Usage Patterns: The length of time you keep warehouses running, the complexity of your queries, and the volume of data processed all affect credit consumption.

Data Storage: The more data you store, the higher your storage costs.

Region: Snowflake’s pricing varies slightly depending on the cloud provider (AWS, Azure, GCP) and the selected region.

Cost-Saving Strategies

Here are ways to manage Snowflake costs:

Right-Sizing Warehouses: Match warehouse sizes to your workload needs. Use smaller warehouses for lighter tasks.

Auto-Suspend: Configure warehouses to shut down automatically when not in use, preventing idle consumption of credits.

Resource Monitoring: Snowflake’s billing tools provide detailed usage breakdowns to pinpoint cost drivers.

Capacity Pre-Purchase: Consider pre-purchasing capacity for discounts if you have predictable usage patterns.

Is Snowflake Worth the Cost?

Snowflake’s pricing model offers flexibility and scalability. Here are the key advantages:

Pay for What You Use: You’re only charged for actively used resources.

Rapid Scaling: Easily handle spikes in demand without long-term hardware commitments.

Minimal Administration: Snowflake’s cloud-based nature reduces upfront infrastructure and ongoing management costs.

Let’s Get Practical: A Quick Example

Imagine you run a medium-sized business and choose the Snowflake Enterprise Edition. You consistently use a medium-sized warehouse for data analysis and reporting, store around 5TB of compressed data, and benefit from Snowflake’s managed cloud services. You could expect a monthly bill broken down roughly into compute credits, storage credits, and cloud services credits.

In Conclusion:

Snowflake’s pricing model is designed to align with your data needs. By understanding the credit system, selecting the appropriate edition, and employing cost-saving strategies, you can reap the benefits of this robust data warehouse without breaking the bank.

You can find more information about  Snowflake  in this  Snowflake

Conclusion:

Unogeeks is the No.1 IT Training Institute for SAP  Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on  Snowflake  here –  Snowflake Blogs

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[spadoomsblog]

Dive into the Future of eCommerce with SAP Spartacus!

🌐 Dive into the Future of eCommerce with SAP Spartacus! 🛍️

In today's fast-paced digital world, flexibility and agility in online retail are more crucial than ever. That's where headless commerce comes in, and SAP Spartacus is leading the charge! As an Angular-based storefront for SAP Commerce Cloud, Spartacus offers a revolutionary approach to eCommerce. It decouples frontend development from the backend, empowering marketing teams to craft online storefronts with unparalleled agility and flexibility, all without backend constrain​​​​ts.

What sets Spartacus apart? It's a constantly evolving set of JavaScript libraries that allow for the creation of unique, branded storefronts. This architecture is extendable and communicates with the commerce platform using REST APIs, making it customizable to suit your business nee​​​​ds.

In the wake of the pandemic, the focus on e-commerce has intensified, and SAP has responded by emphasizing headless configurations like Spartacus, offering a modern, API-driven, and scalable solution for businesses aiming to innovate in the digital commerce spa​​ce. Ready to explore how Spadoom can help you leverage SAP Spartacus for your business?

Visit https://spadoom.com/ now and become a part of the headless commerce revolution!

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Inexpensive Sage X3 Erp Software For Production Management

Accrual future income during timesheet posting or offset salaries/wages. Paytelligence is a powerful, straightforward to use, bank card processing module developed to add electronic fee processing performance to Sage 300. The Orion Point of Sale System is a complicated, feature sage x3 fmcg rich, Point of Sale System that's tightly integrated to your accounting data. North American Payment Solutions is a number one bank card processor throughout Canada and the USA that focuses on out-of-the field ERP Integrated Payments.

Our solutions convert paper into manageable, electronic data with clear audit trails; giving companies centralized visibility and control of all their important business content. He also holds numerous certifications together with Sage Certified Consultant on Sage 500 ERP. Richard has over 25 years of practical experience sage x3 fmcg with a selection of information methods, project management, business consulting, enterprise application integration design and deployment. CPGs of all sizes will inform you the significance of ERP software program; a system that can manage backend operations.

ERP enterprise software program provides varied benefits that can improve business operations, similar to enhancing knowledge safety and quality, streamlining collaborations and workflows, bettering customer service and providing in-depth reporting. Compare ERP software methods immediately with our complete ERP comparison tool. Use our ERP comparison to search out, compare, and shortlist potential systems from high ERP vendors including Microsoft, SAP, Oracle, Sage, Epicor, Infor, Netsuite, and extra. Our ERP software program directory lists main ERP distributors based on features, enterprise dimension, industries they cater to, and pricing information which can be matched side-by-side using our ERP value comparison.

Also, due to its design, FMCG distributors and retail companies may relate to MS BC products greater than industrial distributors. For these reasons, Microsoft Dynamics 365 Business Central lands at #7 on our listing of the top 10 mid-sized business ERP in 2022. Munis by Tyler Technologies provides an end-to-end digital infrastructure for colleges and government companies by connecting data, individuals and processes. It addresses users’ public sector wants by managing core functions like revenue, payroll, procurement, HR and financials. It streamlines processes, avoids information duplication and breaks down knowledge silos.

Smart Hotel Software will manage the complete operations of the resort and go away you to do what you do best - the accounting. Sage companions are automatically entitled to free NFR copies of the Sage Alerts & Workflow software, and partners are provided with free training, demo, and webinar services. Sage Alerts & Workflow also comes with a free collection sage x3 fmcg of over 60 pre-configured alert situations – clients could use and tailor these, as well as create a vast variety of additional “events” of their very own. Sage 300 helps companies function more effectively and profitably through better control, tighter integration, and enhanced visibility.

As Incubeta launched on Acumatica, they reconfigured the know-how infrastructure and decommissioned many servers. Many of the ERP options they evaluated charged per seat, which made their licensing fees cost prohibitive for Incubeta, which employs 500 people. Acumatica’s ease of use, distinctive pricing model, and open API, plus the sturdy Gartner endorsement, made it a natural choice, Reuben says. As the acquisitions increased, executives realized the legacy methods couldn’t deal with the mounting transactions.

Sage Customer Service and strong ecosystem of Value-Added Resellers present with the assist they need to take advantage of their funding. Customers ought to anticipate not only to have great customer service, but lowered stock carrying prices, access to an intensive ISV ecosystem and strong WMS functionality. Xkzero makes a speciality of Direct Store Delivery automation, and now we offer that engineered specifically for Acumatica.

Meanwhile, as a commerce platform, the software will assist you to deliver frictionless, constant customer engagement throughout your on-line and offline channels. Microsoft Dynamics 365 presents a set of business applications you can cherry-pick individually or as a complete ERP that connects your corporation methods. Tangerine Software is a leading provider of World-Class Enterprise Resource Planning and Business Intelligence software solutions. They present to medium and large companies of Canada and U.S.A. ERP options which might be wealthy in integrated features, simple to use, fast to implement, and price efficient.

[bpmworkflowsystem]

The Best BPM Tools for SAP

The BPM tool integrates with SAP's Web IDE and is a powerful way to customize process flows and define business rules. Its graphical editor enables you to create and edit process flows with ease. With the help of various events, tasks, gateways, and gateway events, you can define the steps that comprise a process flow. These steps can be user activities, backend service executions, or script runs.

The BPM process in SAP provides logical segmentation of tasks and actors. The system supports both on-premise and cloud-based custom scenarios and enables real-time operational KPI's to be presented. A key feature of this tool is its ability to connect to SAP Portal and UME. It also supports asynchronous data sharing.

Although there are many commercial BPM tools, open source solutions are often the best option for smaller organizations. They are not nearly as robust or well-documented as commercial products but are an excellent option for smaller companies that crave independence. In the following list, you will find 16 of the best BPM tools available on the market. The BPM tool marketplace is growing. This increases the opportunities for tracking activity, reducing wastage, and improving efficiency.

A BPM tool allows you to create and modify processes in a simple drag and drop fashion, making them quick and easy to use. Most of these tools also offer hot keys and shortcuts that make process design even easier for a business person who doesn't have technical expertise. Some BPM systems offer multiple pricing tiers, while others charge by the number of users or nodes. You can often get a customized price based on your needs and budget.

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Migrating relational databases to Amazon DocumentDB (with MongoDB compatibility)

Relational databases have been the foundation of enterprise data management for over 30 years. But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads, is pushing relational databases beyond their limits. This can inhibit business agility, limit scalability, and strain budgets, compelling more and more organizations to migrate to alternatives like NoSQL databases. Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. To get started with Amazon DocumentDB, see Getting Started with Amazon DocumentDB (with MongoDB compatibility). If your data is stored in existing relational databases, converting relational data structures to documents can be complex and involve constructing and managing custom extract, transform, and load (ETL) pipelines. Amazon Database Migration Service (AWS DMS) can manage the migration process efficiently and repeatably. With AWS DMS, you can perform minimal downtime migrations, and can replicate ongoing changes to keep sources and targets in sync. This post provides an overview on how you can migrate your relational databases like MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and others to Amazon DocumentDB using AWS DMS. Data modeling Before addressing the mechanics of using AWS DMS to copy data from a relational database to Amazon DocumentDB, it’s important to understand the basic differences between relational databases and document databases. Relational databases Traditional relational database management system (RDBMS) platforms store data in a normalized relational structure and use structured query language (SQL) for database access. This reduces hierarchical data structures to a set of common elements that are stored across multiple tables. The following diagram provides an overview of the structure of the Employees sample database. This image was taken from MySQL’s employees sample database under the Creative Commons Attribution-ShareAlike license. No changes have been made. When developers need to access data in an application, you merge data from multiple tables together in a process called as join. You predefine your database schema and set up rules to govern the relationships between fields or columns in your tables. RDBMS platforms use an ad hoc query language (generally a type of SQL) to generate or materialize views of the normalized data to support application-layer access patterns. For example, to generate a list of departments with architects (sorted by hire date), you could issue the following query against the preceding schema: SELECT * FROM departments INNER JOIN dept_emp ON departments.dept_no = dept_emp.dept_no INNER JOIN employees ON employees.emp_no = dept_emp.emp_no INNER JOIN titles ON titles.emp_no = employees.emp_no WHERE titles.title IN (‘Architect’) ORDER BY employees.hire_date DESC; The preceding query initiates complex queries across a number of tables and then sorts and integrates the resulting data. One-time queries of this kind provide a flexible API for accessing data, but they require a significant amount of processing. If you’re running multiple complex queries, there can be considerable performance impact, leading to poor end-user experience. In addition, RDBMSs require up-front schema definition, and changing the schema later is very expensive. You may have use cases in which it’s very difficult to anticipate the schema of all the data that your business will eventually need. Therefore, RDBMS backends may not be appropriate for applications that work with a variety of data. However, NoSQL databases (like document databases) have dynamic schemas for unstructured data, and you can store data in many ways. They can be column-oriented, document-oriented, graph-based, or organized as a key-value store. This flexibility means that: You can create documents without having to first define their structure Each document can have its own unique structure The syntax can vary from database to database You can add fields as you go For more information, see What is NoSQL? Document databases Amazon DocumentDB is a fully managed document database service that makes it easy to store, query, and index JSON data. For more information, see What is a Document Database? and Understanding Documents. The following table compares terminology used by document databases with terminology used by SQL databases. SQL Amazon DocumentDB Table Collection Row Document Column Field Primary key ObjectId Index Index View View Nested table or object Embedded document Array Array Using Amazon DocumentDB, you can store semi-structured data as a document rather than normalizing data across multiple tables, each with a unique and fixed structure, as in a relational database. Fields can vary from document to document—you don’t need to declare the structure of documents to the system, because documents are self-describing. Development is simplified because documents map naturally to modern, object-oriented programming languages. The following is an example of a simple document. In the following document, the fields SSN, LName, FName, DOB, Street, City, State-Province, PostalCode, and Country are all siblings within the document: { "SSN": "123-45-6789", "LName": "Rivera", "FName": "Martha", "DOB": "1992-11-16", "Street": "125 Main St.", "City": "Anytown", "State-Province": "WA", "PostalCode": "98117", "Country": "USA" } For more information about adding, querying, updating, and deleting documents, see Working with Documents. Amazon DocumentDB is designed to work with your existing MongoDB applications and tools. Be sure to use drivers intended for MongoDB 3.4 or newer. Internally, Amazon DocumentDB implements the MongoDB API by emulating the responses that a MongoDB client expects from a MongoDB server. Therefore, you can use MongoDB APIs to query your Amazon DocumentDB database. For example, the following query returns all documents where the Item field is equal to Pen: db.example.find( { "Item": "Pen" } ).pretty() For more information about writing queries for Amazon DocumentDB, see Querying. Let’s say that you have a table in your relational database called Posts and another table called Comments, and the two are related because each post has multiple comments. The following is an example of the Posts table. post_id title 1 Post 1 2 Post 2 The following is an example of the Comments table. comment_id post_id author comment 1 1 Alejandro Rosalez Nice Post 2 1 Carlos Salazar Good Content 3 2 John Doe Improvement Needed in the post In order to get the comments of a post with title “Post 1”, you will need to execute an expensive JOIN query similar to below: SELECT author, comment FROM Comments INNER JOIN Posts ON Comments.post_id = Posts.post_id WHERE Posts.title LIKE “Post 1"; While modelling data for documents, you can create one collection of documents that represents a post with an array of comments. See the following output: { "_id" : NumberLong(1), "title" : "Post 1", "comments" : [ { "author" : "Alejandro Rosalez", "content" : " Nice Post" }, { "author" : "Carlos Salazar", "content" : " Good Content" } ] } { "_id" : NumberLong(2), "title" : "Post 2", "comments" : [ { "author" : "John Doe", "content" : " Improvement Needed in the post" } ] } The following query will provide the comments for the post with title as “Post 1”: rs0:PRIMARY> db.posts.find({ “title”: “Post 1” }, {“comments”: 1, _id: 0}) { “comments” : [ { “author” : “Alejandro Rosalez”, “content” : ” Nice Post” }, { “author” : “Carlos Salazar”, “content” : ” Good Content” } ] } For more information about data modeling, see Data Modeling Introduction. Solution overview You can use AWS DMS to migrate (or replicate) data from relational engines like Oracle, Microsoft SQL Server, Azure SQL Database, SAP ASE, PostgreSQL, MySQL and others to an Amazon DocumentDB database. You can also migrate the data from non-relational sources, but those are beyond the scope of this post. As depicted in the following architecture, you deploy AWS DMS via a replication instance within your Amazon Virtual Private Cloud (Amazon VPC). You then create endpoints that the replication instance uses to connect to your source and target databases. The source database can be on premises or hosted in the cloud. In this post, we create the source database in the same VPC as the target Amazon DocumentDB cluster. AWS DMS migrates data, tables, and primary keys to the target database. All other database elements are not migrated. This is because AWS DMS takes a minimalist approach and creates only those objects required to efficiently migrate the data. The following diagram shows the architecture of this solution. The walkthrough includes the following steps: Set up the source MySQL database. Set up the target Amazon DocumentDB database. Create the AWS DMS replication instance. Create the target AWS DMS endpoint (Amazon DocumentDB). Create the source AWS DMS endpoint (MySQL). Create the replication task. Start the replication task. Clean up your resources. As a pre-requisite, we just need an AWS Account and an IAM user which has appropriate access permissions. This walkthrough incurs standard service charges. For more information, see the following pricing pages: AWS Database Migration Service pricing Amazon DocumentDB (with MongoDB compatibility) pricing Amazon EC2 pricing Setting up the source MySQL database We first launch an Amazon Linux 2 EC2 instance and install MySQL server. For instructions, see Installing MySQL on Linux Using the MySQL Yum Repository. Then, we load the sample Employee database with the structure as shown in the beginning of the post. We used the following commands to load the sample database: git clone https://github.com/datacharmer/test_db.git cd test_db mysql -u root -p -t < employees.sql Setting up the target Amazon DocumentDB database For instructions on creating a new Amazon DocumentDB cluster and trying out some sample queries, see Setting up an Document Database. For this walkthrough, we create the cluster my-docdb-cluster with one instance my-docdb-instance. The following screenshot shows the cluster details. Creating an AWS DMS replication instance AWS DMS uses an Amazon Elastic Compute Cloud (Amazon EC2) instance to perform the data conversions as part of a given migration workflow. This EC2 instance is referred to as the replication instance. A replication instance is deployed within a VPC, and it must have access to the source and target databases. It’s a best practice to deploy the replication instance into the same VPC where your Amazon DocumentDB cluster is deployed. You also need to make other considerations in terms of sizing your replication instance. For more information, see Choosing the optimum size for a replication instance. To deploy a replication instance, complete the following steps: Sign in to the AWS DMS console within the AWS account and Region where your Amazon DocumentDB cluster is located. In the navigation pane, under Resource management, choose Replication instances. Choose Create replication instance. This brings you to the Create replication instance page. For Name, enter a name for your instance. For this walkthrough, we enter mysql-to-docdb-dms-instance. For Description, enter a short description. For Instance class, choose your preferred instance. For this walkthrough, we use a c4.xlarge instance. Charges may vary depending on your instance size, storage requirements, and certain data transfer usage. For more information, see AWS Database Migration Service Pricing. For Engine version, choose your AWS DMS version (prefer the latest stable version – not the beta versions). Select Publicly accessible option, if you want your instance to be publicly accessible. If you’re migrating from a source that exists outside of your VPC, you need to select this option. If the source database is within your VPC, accessible over an AWS Direct Connect connection, or via a VPN tunnel to the VPC, then you can leave this option unselected. In the Advanced security and network configuration section, select your suitable Security Group (that allows network traffic access to the source and target database). You can also define other options, such as specific subnets, Availability Zones, custom security groups, and if you want to use AWS Key Management Service (AWS KMS) encryption keys. For more information, see Working with an AWS DMS replication instance. For this post, we leave the remaining options at their defaults. Choose Create. For more details and screenshots, see Create a replication instance using the AWS DMS console. Provisioning your replication instance may take a few minutes. Wait until provisioning is complete before proceeding to the next steps. Creating a target AWS DMS endpoint After you provision a replication instance, you define the source and targets for migrating data. First, we define the connection to our target Amazon DocumentDB cluster. We do this by providing AWS DMS with a target endpoint configuration. On the AWS DMS console, under Resource management, choose Endpoints. Choose Create endpoint. This brings you to the Create endpoint page. For Endpoint type, select Target endpoint. For Endpoint Identifier, enter a name for your endpoint. For this walkthrough, we enter target-docdb-cluster For Target Engine, select docdb For Server name, enter the cluster endpoint for your target Amazon DocumentDB cluster (available in the Amazon DocumentDB cluster details on the Amazon DocumentDB console). To find the cluster endpoint of your Amazon DocumentDB cluster, refer to Finding a Cluster’s Endpoint. For Port, enter the port you use to connect to Amazon DocumentDB (the default is 27017). For SSL mode, choose verify-full. For CA certificate, do one of the following to attach the SSL certificate to your endpoint: If available, choose the existing rds-combined-ca-bundle certificate from the Choose a certificate drop-down menu. Download the new CA certificate bundle. This operation downloads a file named rds-combined-ca-bundle.pem. Then complete the following: In the AWS DMS endpoint page, choose Add new CA certificate. For Certificate identifier, enter rds-combined-ca-bundle. For Import certificate file, choose Choose file and navigate to the rds-combined-ca-bundle.pem file that you previously downloaded. Open the file and choose Import certificate. Choose rds-combined-ca-bundle from the Choose a certificate drop-down menu. For User name, enter the master user name of your Amazon DocumentDB cluster. For this walkthrough, we enter masteruser For Password, enter the master password of your Amazon DocumentDB cluster. For Database name, enter suitable value. For this walkthrough, we enter employees-docdb as the database name. In the Test endpoint connection section, ensure that your endpoint is successfully connected. This can be confirmed when status shows as successful as seen in the following screenshot. For more information on this step, see Creating source and target endpoints. Creating the source AWS DMS endpoint We now define the source endpoint for your source RDBMS. On the AWS DMS console, under Resource management, choose Endpoints. Choose Create endpoint. For Endpoint type¸ select Source endpoint. For Endpoint Identifier, enter a name. For this walkthrough, we enter source-ec2-mysql For Source engine, choose your source database engine. For this walkthrough, we used mysql. For Server name, enter your source endpoint. This can be the IP or DNS address of your source machine For Port, enter the DB port on the source machine (here 3306). For Secure Socket Layer, choose the value depending on user configurations set in your source mysql database. For this walkthrough, we used none. For User name, enter the user name of your source DB. For this walkthrough, we enter mysqluser. For Password, enter the master password of your source DB. For Database name, enter suitable value. For this walkthrough, we enter employees. In the Test endpoint connection section, ensure that your endpoint is successfully connected. This can be confirmed when status shows as successful as seen in the following screenshot. For more information on this step, see Creating source and target endpoints. Creating a replication task After you create the replication instance and source and target endpoints, you can define the replication task. For more information, see Creating a task. On the AWS DMS console, under Conversion & Migration, choose Database migration tasks. Choose Create database migration task. For Task identifier, enter your identifier. For this walkthrough, we enter dms-mysql-to-docDB Choose your replication instance and source and target database endpoints. For this walkthrough, we enter mysql-to-docdb-dms-instance, source-ec2-mysql and target-docdb-cluster Choose the Migration Type as per your requirements: Migrate existing data – This will migrate the existing data from source to target. This will not replicate the ongoing changes on the source. Migrate existing data and replicate ongoing changes – This will migrate the existing data from source to target and will also replicate changes on the source database that occur while the data is being migrated from the source to the target. Replicate data changes only – This will only replicate the changes on the source database and will not migrate the existing data from source to target. You may refer to Creating a task for more details on this option. For this walkthrough, we enter Migrate existing data. On the Task settings page, select Wizard as the Editing Mode. On the Task settings page, you can select Target table preparation mode. You can choose one of the following, depending on your requirements: Do nothing – This creates the table if a table isn’t on the target. If a table exists, this leaves the data and metadata unchanged. AWS DMS can create the target schema based on the default AWS DMS mapping of the data types. However, if you wish to pre-create the schema (or have a different data type) on the target database (Amazon DocumentDB), you can choose to create the schema and use this mode to perform the migration of data to your desired schema. You can also use mapping rules and transformation rules to support such use cases. Drop tables on target – This drops the table at the target and recreates the table. Truncate – This truncates the data and leaves the table and metadata intact. For this walkthrough, we enter Drop tables on target. On the Task settings page, you will have the option to select Include LOB columns in replication. For this walkthrough, we used Limited LOB mode with Max LOB size (KB) as 32. You can choose one of the following depending on your requirements: Don’t include LOB columns – LOB columns are excluded from the migration. Full LOB mode – Migrate complete LOBs regardless of size. AWS DMS migrates LOBs piecewise in chunks controlled by the Max LOB size parameter. This mode is slower than using Limited LOB mode. Limited LOB mode – Truncate LOBs to the value of the Max LOB size parameter. This mode is faster than using Full LOB mode. For this walkthrough, we unchecked Enable validations. AWS DMS provides support for data validation to ensure that your data was migrated accurately from the source to the target. This may slow down the migration. Refer to AWS DMS data validation for more details. On the Task settings page, select Enable CloudWatch logs. Amazon CloudWatch logs are useful if you encounter any issues when the replication task runs. You also need to provide IAM permissions for CloudWatch to write AWS DMS logs. Choose your values for Source Unload, Task Manager¸ Target Apply, Target Load, and Source Capture. For this walkthrough, we used Default. Initially, you may wish to keep the default values for logging levels. if you encounter problems, you can modify the task to select more detailed logging information that can help you to troubleshoot. To read more, refer to Logging task settings and How do I enable, access, and delete CloudWatch logs for AWS DMS? The Table Mapping configuration section of the replication task definition specifies the tables and columns that AWS DMS migrates from source MySQL database to Amazon DocumentDB. You can specify the required information two different ways: using a Guided UI or a JSON editor. For more information about sophisticated selection, filtering and transformation possibilities, including table and view selection and using wildcards to select schemas, tables, and columns, see Using table mapping to specify task settings. For this walkthrough, we used the following values: Editing mode – Wizard Schema – Enter a schema Schema name – employees Table name – % Action – Include Refer to Specifying table selection and transformations rules from the console for screenshots of this step. Choose Create task. Starting the replication task The definition of the replication task is now complete and you can start the task. The task status updates automatically as the process continues. For this post, we configured migration type as Migrate existing data, so the status of the task shows as Load Complete, which may differ depending on the migration type. If an error occurs, the error appears on the Overview details tab (see the following screenshot) under Last failure message. For more information about troubleshooting, see Troubleshooting migration tasks in AWS Database Migration Service. For our sample database, the AWS DMS process takes only a few minutes from start to finish. For more information about connecting to your cluster, see Developing with Amazon DocumentDB. For this post, we use the mongo shell to connect to the cluster. If you connect to the target cluster, you can observe the migrated data. The following query lists all the databases in the cluster: rs0:PRIMARY> show dbs; employees-docdb 1.095GB The following query switches to use the employees-docdb database: rs0:PRIMARY> use employees-docdb; switched to db employees-docdb The following query lists all the collections in the employees-docdb database: rs0:PRIMARY> db.getCollectionNames() [ "departments", "dept_emp", "dept_manager", "employees", "salaries", "titles" The following query selects one document from the departments collection: rs0:PRIMARY> db.departments.findOne() { "_id" : { "dept_no" : "d009" }, "dept_no" : "d009", "dept_name" : "Customer Service" } The following query selects one document from the employees collection: rs0:PRIMARY> db.employees.findOne() { "_id" : { "emp_no" : 10001 }, "emp_no" : 10001, "birth_date" : ISODate("1970-09-22T11:20:56.988Z"), "first_name" : "Georgi", "last_name" : "Facello", "gender" : "M", "hire_date" : ISODate("1986-06-26T00:00:00Z") } The following query counts the number of documents in the employees collection: rs0:PRIMARY> db.employees.count() 300024 Cleaning up When database migration is complete, you may wish to delete your AWS DMS resources. On the AWS DMS dashboard, choose Tasks in the navigation pane. Locate the migration task that you created earlier and click on drop-down Actions button and choose Delete. In the navigation pane, choose Endpoints. Choose the source and target endpoints that you created earlier and click on drop-down Actions button and choose Delete. In the navigation pane, choose Replication instances. Choose the replication instance that you created earlier and click on drop-down Actions button and choose Delete. Summary AWS DMS can quickly get you started with Amazon DocumentDB and your own data. This post discussed how to migrate a relational database to Amazon DocumentDB. We used an example MySQL database and migrated a sample database to Amazon DocumentDB. You can use similar steps for migration from a different supported RDBMS engine to Amazon DocumentDB. To learn more about Amazon DocumentDB, see What Is Amazon DocumentDB (with MongoDB Compatibility). To learn more about AWS DMS, see Sources for AWS Database Migration Service and Using Amazon DocumentDB as a target for AWS Database Migration Service. About the Author Ganesh Sawhney is a Partner Solutions Architect with the Emerging Partners team at Amazon Web Services. He works with the India & SAARC partners to provide guidance on enterprise cloud adoption and migration, along with building AWS practice through the implementation of well architected, repeatable patterns and solutions that drive customer innovation. Being an AWS Database Subject Matter Expert, he has also worked with multiple customers for their database and data warehouse migrations. https://aws.amazon.com/blogs/database/migrating-relational-databases-to-amazon-documentdb-with-mongodb-compatibility/

[wesleybates]

Types of developers

How many types of developers do you know? And, if you are a developer, to which type do you refer yourself? In the real world, the boundaries between different types of developers are blurred. The more professional you become, the more types you will fit. So let’s see, how many types of developers are available in software development industry.

Before we start, we’d like to say thanks to Lorenzo Pasqualis whose article inspired us to create this material.

To be honest, most of us recognize only three types of software developers: frontend, backend and fullstack. That is obvious, but this is just a half of the truth. Nowadays different developers with the same tech stacks unlikely can apply their skills and knowledge to the different area. It’s like asking your mobile developer to work on creating a game. He could know the tools, but he is not a game developer. And that makes a huge differentiation in developer’s types.

We’ll start with the main types:

Frontend:

Yesterday we wrote the biggest article with cheatsheet for frontenders. So who are they? This is a type of developers who specialize in visual user interfaces, aesthetics, and layouts. Their code runs on a web browser, on the computer of the site user. They work on creating web apps and websites. Hardware is not what frontend specialists usually think about.

Their work requires an understanding of human-machine interaction and design principles more than computer science theory.

Frontend development skills:

design of user interface (UI)

design of user experience (UX)

CSS

JavaScript

HTML

UI frameworks.

Frontend devs need to be familiar with frameworks like Bootstrap, Foundation, Backbone, AngularJS, and EmberJS, which ensure great-looking content no matter the device, and libraries like jQuery and LESS, which package code into a more useful, time-saving form. A lot of front-end developer job listings also call for experience with Ajax, a widely used technique for using Javascript that lets pages dynamically load by downloading server data in the background.

Backend:

The second most popular type of developers. The backend developer specializes in the design, implementation, functional core logic, performance, and scalability of a piece of software or system running on machines that are remote from the end-user. They integrate a vast array of services such as databases, caching, logging, email systems etc.

What makes the front end of a website possible? Where is all that data stored? These are the questions for the backend development. The backend of a website consists of a server, an application, and a database. A backend developer builds and maintains the technology that powers those components which, together, enable the user-facing side of the website to even exist in the first place.

Backend development skills:

Java

C, C++

Ruby

Python

Scala

Go, etc.

They also use tools like MySQL, Oracle, and SQL Server to find, save, or change data and serve it back to the user in front-end code. Job openings for backend developers often also call for experience with PHP frameworks like Zend, Symfony, and CakePHP; experience with version control software like SVN, CVS, or Git; and experience with Linux as a development and deployment system.

Fullstack:

Call this developer a wizard, but he (or she) does both frontend and backend work. The fullstack developer has the skills required to create a fully functional web application. It is considered that working on both the server side and client side professionally opens more opportunities. They’re jacks-of-all-trades.

The complexity of full stack development can be illustrated with this picture (of course, there more technologies):

The fullstack developer should be able:

to set up and configuring Linux servers

to write server-side APIs

to dive into the client-side JavaScript powering an application

to turn a “design eye” to the CSS

Mobile developer:

This is a developer who writes code for applications that run natively on consumer mobile devices such as smartphones and tablets. This type appeared after the boom of mobile devices in the early 2000s and the explosion of the smartphone market. Before then mobile development was considered a subset of embedded development (we will write about embedded developers in this article too).

A mobile developer understands the intricacies of mobile operating systems such as iOS and Android, and the development environment and frameworks used to write software on those operating systems.

Mobile developer skills:

Java

Swift

Objective-C

C, C++ and Java

Application Programming Interfaces (API) like Apple iOS, Android, Windows Mobile, and Symbian

Web development languages like HTML 5 and CSS

Cross-platform mobile suites like Antenna and AMP ( Accounting-Management-Promotion)

Game developer:

Every game-addicted child wants to become a game developer in future. But this occupation as much romantic and fun as complicated and demanding.

Game developer specializes in writing games and can fall into one of the other categories of developers, but they often have specific knowledge and skills in designing and implementing engaging and interactive gaming experiences.

Skills for game developers:

DirectX, OpenGL, Unity 3D, WebGL frameworks

languages such as C, C++, and Java

JavaScript and HTML5

Swift and Java for mobile devices.

Data Scientist:

This type of developer writes software programs to analyze data sets. They are often in charge of statistical analysis, machine learning, data visualization, and predictive modeling. Quite romantic, right? But the list of skills a data scientist should have covers a lot of science-related things:

Statistical programming languages, like R or Python, and a database querying languages like SQL

Understanding the statistics and different techniques that are (or aren’t) a valid approach

Familiarity with machine learning methods

Knowing Multivariable Calculus and Linear Algebra principles

Knowing how to deal with imperfections in data (including missing values, inconsistent string formatting etc.)

Visualizing and communicating data is incredibly important

Having a strong software engineering background

Ability to solve high-level problems

DevOps developer:

This is a type of developer familiar with technologies to build, deploy and integrate the system and administer back-end software and distributed systems.

To explain the way:

A developer (programmer) creates applications

Ops deploys, manages, monitors applications

DevOps creates applications AND deploys/manages/monitors them.

DevOps was made possible because of the cloud and the tools/platforms to make deployment and management easy. Skills needed by devops:

Kubernetes

Docker

Apache Mesos

the HashiCorp stack (Terraform, Vagrant, Packer, Vault, Consul, Nomad)

Jenkins, etc.

Software Development Engineer in Test:

This type of developer is responsible for writing software to validate the quality of software systems. They create automated tests, tools and systems to make sure that products and processes run as expected. Skills needed for engineers in test:

Python

Ruby

Selenium.

Embedded developer:

The embedded developer works with hardware that isn’t commonly classified as computers. For example, microcontrollers, real-time systems, electronic interfaces, set-top boxes, consumer devices, IoT devices, hardware drivers, and serial data transmission fall into this category.

Embedded developers often work with languages such as:

C, C++

Assembly

Java or proprietary technologies, frameworks, and toolkits

With the embedded developer definition, we would like to finish the list of developer’ types. We named for you the main developer types which are fundamentally different. But you could also hear about:

– web developer (the purpose of web development is obvious)

– application developer (who is proficient in creating different types of apps)

– security developer (who creates systems, methods, and procedures to test the security of a software system)

– CRM developer (they hang out with SAP, Salesforce, Sharepoint, and Enterprise Resource Planning)

– Big data developer (rarely met, this type of developers use systems for distributed storage and processing of vast amounts of data such as MapReduce, Hadoop, and Spark)

– Graphics developers (they specialize in writing software for rendering, lighting, shadowing, shading, culling, and management of scenes)

If you want to know more about web development, then get in touch with the experts of Web Developers in Denver, CO

[acuitilabslondon]

Maximise Business Benefits with SAP Subscription Billing and Revenue Management

The word subscription is not a new term when it comes to ease the business flow and offer your customers an option of recurring payment for any service or product could be taken with right combination of subscriptions, one-time fees, and usage-based charges. Industries like telecom, media, entertainment etc. have been providing their services for longer duration with a flexible choice of subscription and payment options. They have been doing this since decades; Earlier it was Newspapers, Cable Television Networks, and Landline Telephones bills, whereas today these have turned into Consumer goods, Jobs, Travelling, Dating, Netflix, and other such offerings.

However, with the increase in growth of mobile communications and the internet, the face of subscription-based business models has dramatically evolved and is changing the way customers use to look at buying options. Every business is becoming a connected one by moving from products to services. Earlier it was only a handful of industries that offered the choice of recurring payments, today a lot of industries have already moved into this business whereas, several others are planning to opt the option of offering services and products on the basis of subscription.

Subscription Based Billing – Win-win for Customers and Business

It is not only businesses that are being benefited with the use of SAP Subscription Billing model, but customers are also get more options to choose from and buy only what is required. This also help businesses in maintaining continuous cash-flow and building stronger and lifetime relationships with the customers.

As growth persists, such companies have already started realizing that to maintain and support the new and more creative subscription-based offerings, stronger, more efficient, and flexible billing solution is required and using traditional ERP and CRM systems will not be enough. These systems lack the capability of managing the diverse requirements like fulfilling the recurring billing demands for the customers or managing large volumes or real-time competencies linked with the hyper-connected world.

Although the internet can help you with the hits on subscription billing, you need to have a proper understanding about the important features of subscription billing to get benefitted as a business.

A Few Key Features Essential for a Subscription Billing System

Flexibility : The subscription billing model is required to be flexible and should come with the option to be easily deployed in the cloud, on-premise or in a hybrid way depending on the requirement of the customer.

Responsiveness : With rapidly changing billing requirement, Agility is one of the most important key features of any billing solution. businesses need to have a solution that is responsive and powerful with the ability to create any type of pricing rules imaginable in hours or days – not months. Any subscription billing system that do not require a lot of highly trained developers for its installation, implementation or management is considered to be the best.

Real-time and Centralised Pricing Model : An ideal billing system possesses a real-time and centralized pricing model. Along with the simple integration of all the systems that require pricing and customer information (typically in real-time), a billing system should also be capable of providing needed support to all subscription products and services that are offered by a particular company.

Scalability : You can easily manage the scenario in the initial phase of using a subscription billing model for your business as you might have fewer customers at that time. But as you grow, this number will also increase dramatically and will require a system that can support a huge number of subscribers and can process billions of transactions in a single day. Thus, scalability is one of the important features of any subscription billing system.

Usage metering : We need to understand the fact that the simplest subscription models are based mostly based on flat recurring fees. There are a lot of businesses that need to meter customer usage so that they can efficiently manage pricing, discounts and other options like up-sell. Another advantage of usage metering is reporting and revenue recognition.

Financials and reporting :  An effective billing solution provide complete customer financial management and integration with the Backend Accounting Module. Reporting and Business Intelligence must be leveraged at real-time speed to keep a check on the company’s health and growth rate.

When it comes to managing the subscription billing process for your business to maximize its benefits and growth, you need to have a billing system that is fast, agile, flexible, convergent, scalable and powerful at the same time. Choosing a billing system with the above-mentioned important features will not only ensures that your business can reap the most benefits from this investment but also offer your customers exciting new products and services with better customer experience.

Advantage of Choosing SAP Billing and Revenue Innovation Management (SAP BRIM)

While you choose SAP Billing and Revenue Innovation Management Solution for your business, you get the advantage of monetizing subscription and usage-based business models with agility and with the advanced capabilities like revenue management and recurring billing. This also increases the transparency of the entire revenue management process with the help of its dedicated scalable, agile, flexible, and highly automated software that helps in billing, invoicing, and revenue management.

Below are the key benefits of using BRIM

1.    Supports high-volume processing and Scales up businesses : Provide support to the Internet of Things and connected devices with high-volume, automated, and transparent processing across usage-event and financial postings.

2.    Easy Migration from selling products to selling services and physical goods bundled with services : Offer your customers outcomes-based on subscriptions and real-time usage-based services, while supporting revenue-sharing models across your extended ecosystem.

3.    Ease and flexibility of operationalizing your business model : Get the freedom of enabling any variant or combination of prepaid and pay-as-you-go business models with rules-based, smart automation of invoicing and accounting processes.

4. Supports Partner Revenue Sharing : Partner Revenue Sharing option by SAP BRIM helps the partners in establishing a successful cloud practice with lower liabilities and risks providing maximum benefits to them. Page Break

How SAP BRIM Contributes to managing Subscription-based order management?

Below are the few points that will help to understand how SAP Billing and Revenue Innovation Management can help companies that are looking for an effective solution for managing their subscription billing process.

The automated process ensures accurate delivery and billing process. This is done by capturing and monitoring subscription orders.

Promptly and automatically addresses contract changes, renewals, extensions, and billing cycles to avoid errors.

 Provides Ease of managing master agreements, that includes invoicing hierarchies, specialized catalogs, and shared credit.

Automated payment handling from any channel. Integrated Credit, Collection, and dispute Management.

[salvatorede]

Intelligent Electric Fleets: From Research to...

Intelligent Electric Fleets: From Research to Purpose | SAP Blogs

Intelligent Electric Fleets: From Research to...

To address the question of smart charging, SAP ran a research project and developed a charge management system for operators of charging infrastructures. To this end, the Open Charge Point Protocol (OCPP) comes in handy, as it enables software backend systems to exchange control commands with charging hardware. Read more in this blog.

SAP Get Social

[bhartimaan]

Intelligent Electric Fleets: From Research to...

Intelligent Electric Fleets: From Research to Purpose | SAP Blogs

Intelligent Electric Fleets: From Research to...

To address the question of smart charging, SAP ran a research project and developed a charge management system for operators of charging infrastructures. To this end, the Open Charge Point Protocol (OCPP) comes in handy, as it enables software backend systems to exchange control commands with charging hardware. Read more in this blog.

SAP Get Social

[crystaluki]

Intelligent Electric Fleets: From Research to...

Intelligent Electric Fleets: From Research to Purpose | SAP Blogs

Intelligent Electric Fleets: From Research to...

To address the question of smart charging, SAP ran a research project and developed a charge management system for operators of charging infrastructures. To this end, the Open Charge Point Protocol (OCPP) comes in handy, as it enables software backend systems to exchange control commands with charging hardware. Read more in this blog.

SAP Get Social

[nicolesydneyaus]

Intelligent Electric Fleets: From Research to...

Intelligent Electric Fleets: From Research to Purpose | SAP Blogs

Intelligent Electric Fleets: From Research to...

To address the question of smart charging, SAP ran a research project and developed a charge management system for operators of charging infrastructures. To this end, the Open Charge Point Protocol (OCPP) comes in handy, as it enables software backend systems to exchange control commands with charging hardware. Read more in this blog.

SAP Get Social