Articles

This article will demonstrate the heterogeneous systems integration and building of the BI system and mainly talk about the DELTA load issues and how to overcome them. How can we compare the source table and target table when we cannot find a proper way to identify the changes in the source table using the SSIS ETL Tool?

Systems Used

  • SAP S/4HANA is an Enterprise Resource Planning (ERP) software package meant to cover all day-to-day processes of an enterprise, e.g., order-to-cash, procure-to-pay, finance & controlling request-to-service, and core capabilities. SAP HANA is a column-oriented, in-memory relational database that combines OLAP and OLTP operations into a single system.
  • SAP Landscape Transformation (SLT) Replication is a trigger-based data replication method in the HANA system. It is a perfect solution for replicating real-time data or schedule-based replication from SAP and non-SAP sources.
  • Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most of the management functions offered by the database, including backups, patching, upgrading, and monitoring, with minimal user involvement.
  • SQL Server Integration Services (SSIS) is a platform for building enterprise-level data integration and transformation solutions. SSIS is used to integrate and establish the pipeline for ETL and solve complex business problems by copying or downloading files, loading data warehouses, cleansing, and mining data.
  • Power BI is an interactive data visualization software developed by Microsoft with a primary focus on business intelligence.

Business Requirement

Let us first talk about the business requirements. We have more than 20 different Point-of-Sale (POS) data from other online retailers like Target, Walmart, Amazon, Macy’s, Kohl’s, JC Penney, etc. Apart from this, the primary business transactions will happen in SAP S/4HANA, and business users will require the BI reports for analysis purposes.

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This is the perfect time to raise this point — just as Spring Native is coming to the forefront. Is it time to move to GraalVM? Spoiler: it depends. Yes, if you’re building serverless, probably no if you’re building pretty much anything else — with a few exceptions for some microservices.

Before I begin, I want to qualify that I’m talking about native image (SubstrateVM) which is what most people mean when they say GraalVM. That specific feature took over a much larger and more ambitious project that includes some amazing capabilities such as polyglot programming. GraalVM native images let us compile our Java projects to native code. It performs analysis and removes unnecessary stuff, it can reduce the size and startup time of a binary significantly. I’ve seen 10-20x improvement to startup time, that’s a lot. Ram usage is also much lower sometimes by a similar scale but usually not as significant.

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Elasticsearch is a full-text search engine and analysis tool developed using Java programming language on Apache Lucene infrastructure. 

Lucene, which was developed to perform searches on huge text files on a single machine, is Elasticsearch, which emerged because it was insufficient in searches on instant data and distributed systems; It has gained popularity in a short time with its flexible structure, ability to work with real-time data in distributed systems.

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Doris is an interactive SQL data warehouse based on MPP architecture, mainly used to solve near real-time reporting and multidimensional analysis. Doris’s efficient import and query are inseparable from the sophisticated design of its storage structure.

This article mainly analyzes the implementation principle of the storage layer of the Doris BE module by reading the code of the Doris BE module, and expounds and decrypts the core technology behind the efficient writing and query capabilities of Doris. It includes Doris column storage design, index design, data read and write process, compaction process, version management of Tablet and Rowset, data backup, and other functions.

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Over the years, I’ve been in various discussions regarding the benefits of clean architecture, best practices, techniques such as code reviews, unit tests, etc., and I think to some degree, most of us are aligned on the reasons behind it. Having a clean architecture or code-base not only makes your development team happier, but it has a far-reaching impact on the business itself.

In this post, we will learn about NDepend, which is described on their website as the following:

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Web3 and smart contracts are growing in popularity. In fact, a recent analysis of public code repositories has shown that over 18,000 developers are regularly contributing to open source crypto and Web3 projects on a monthly basis. Some of the keys to this growth are blockchains like NEAR and developer platforms like Infura.

This article will look at the NEAR blockchain, its benefits, and how to build on NEAR using Infura. Then we’ll use the NEAR Rust SDK to mint in three steps and then interact using Infura. You’ll need a NEAR account, an Infura account, and some Rust skills and tools to get up and running quickly.

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Introduction

Google Cloud Data Studio is a tool for transforming data into useful reports and data dashboards. As of now, Google Data Studio has 22 inbuilt Google Connectors and 571 different Partner connectors which help in connecting data from BigQuery, Google Ads, Google Sheets, Cloud Spanner, Facebook Ads Data, Adobe Analytics, and many more. 

Once the data is imported, reports and dashboards can be created by a simple drag and drop and using various filter options. Google Cloud Data Studio is out of the Google Cloud Platform, which is why it is completely free. 

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Introduction

The Internet is inevitable in the current time. It is everywhere, and the entire world depends on it to function, perform day-to-day activities and stay connected with people from different corners. Gone are the days when testers only chose to create websites for selected browsers and hardly faced issues maintaining a website on a few browsers. As the technology matured, many significant players entered the browser market. Even the users evolved, became tech-savvy, and improved their browsing habits. Now was a time when businesses were in critical need of cross-browser testing and responsive testing to stay ahead of the competition. Cross-browser testing focuses on the website’s overall functionality; responsive web testing verifies the look and feel of the web application. Cross-browser testing deals with the analysis of the web browsers that their users use, and responsive testing deals with the devices where the company’s user base visits the websites. Let us shed some light and understand cross-browser and responsive testing in detail.

What Is Cross Browser Testing?

We all know that testing cross-browser compatibility of websites « is of utmost importance. It helps understand how stable your web application is across various technologies, browsers, operating systems, and devices. The adoption of cross-browser testing is to provide a better user experience irrespective of which browser-OS-device combination your users use to access your website. In cross-browser testing, the testers generally validate the web application’s functionality and ensure its user-friendliness and performance are up to the mark across the web browsers. Businesses can also take the help of cloud-based automated cross-browser testing tools to have access to a wide range of real devices to test their web and mobile applications. Different browser engines render websites differently; even the version of each browser causes the code uniquely. It means the code behind the websites is read differently by every browser. So, various cross-browser testing strategies are critical for website accessibility. It is how different browsers render a web page:

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When are you smarter than your playbooks, and when are your playbooks smarter than you?

That’s a question that engineers rarely step back to consider. The rational, disciplined parts of our minds tell us that the playbooks we are supposed to follow were carefully designed and tested and that we should stick to them at all costs.

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