AnalyticsFrame, Author at AnalyticsFrame

In Software

10 Most Used Right Click Tools for Configuration Manager

June 3, 2021 8 Mins Read

Microsoft’s SCCM (System Center Configuration Manager) is a remunerated lifecycle software application from Microsoft that continues a network’s collection, intercepts with system startup, and distributes latest security patches across such a system. Whereas SCCM utilizes Microsoft’s WSUS repairing information to ensure for and download software, it also allows consumers with extra patch effective management over how and when patches are implemented, as well as a slew of other things that make it an attractive option…

In Blockchain

The Role of Blockchain in Legal Document Management

March 12, 2021 6 Mins Read

Blockchain is now the talk in the town. The successful implementation of the technology in cryptocurrency has opened the doors for other industries to implement it. One of the most promising tools for addressing problems of accountability and progress monitoring is Blockchain. Nowadays, a company’s productivity, quality, and performance are heavily dependent on digitalization. As a result, businesses worldwide are implementing different technologies and applications to collate and optimize their processes. Companies worldwide are now…

In QA Testing

Penetration Testing Applications

February 19, 2021 5 Mins Read

Web application penetration testing and Vulnerability assessment services contributes to being a vital security requirement for a plethora of regulatory frameworks. There is a wide assortment of business enterprises that believe that the web application penetration tools can accomplish such needs. Penetration testing applications are recognized to be tools that are beneficial for checking different kinds of network security threats. Every application comes with its own set of benefits. As you go through this write-up,…

In Python

9 Awesome Python packages for Machine Learning that should deserve more credit

February 11, 2021 9 Mins Read

Introduction Having some free time these past weeks, I spent time exploring resources that were in my backlog. And I was astonished. So many cool — and not necessarily well known — packages on machine learning that didn’t make it to the top of the charts. Their popularity looked like niche although they cope with fundamental challenges in machine learning. So here they are. 9 really useful packages in ML to learn and implement at work: interpretML, dtreeviz, CatBoost, plaidML, mlflow, kedro, sklearn_pandas, Streamlit, pandas_profiling.…

In Data Science

How To Setup VS Code For Data Science — The Manual

February 10, 2021 5 Mins Read

After warm, sometimes violent, recommendations I decided to switch from PyCharm to VSCode. While setting up my environment I felt that I was spending far too much time figuring out what I needed and learning how to install every little thing through several guides. During that time I WISHED there was one manual that would give me the briefs and tell me exactly how to set up my VSCode environment for data science. Since I…

In Data Analytics

Data Engineers of 2021: The Shifting Role

February 8, 2021 5 Mins Read

The role of big data engineer professionals is continuously evolving with the evolution of technologies and tools. Learn about the changing role of data engineers here. Organizations have realized the value data can bring to their business and are looking forward to modernizing their analytics environments. This has led to increasing demand for data engineers who can unlock the value of data by removing the bottlenecks across the entire data team. To tackle this growing…

In Big Data Analytics

Big Data analytics in the banking sector

January 9, 2021 6 Mins Read

Big Data Analytics can become the main driver of innovation in the banking industry — and it is actually becoming one. We list several areas where Big Data can help the banks perform better. Investments in Big Data analytics in banking sector totaled $20.8 billion in 2016, according to the IDC Semiannual Big Data and Analytics Spending Guide of 2016. This makes the domain one of the dominant consumers of Big Data services and an ever-hungry market for…

In Data Analytics

Software architectures for big data: a systematic literature review

September 14, 2020 8 Mins Read

Big Data systems are often composed of information extraction, preprocessing, processing, ingestion and integration, data analysis, interface and visualization components. Different big data systems will have different requirements and as such apply different architecture design configurations. Hence a proper architecture for the big data system is important to achieve the provided requirements. Yet, although many different concerns in big data systems are addressed the notion of architecture seems to be more implicit. In this paper…

In Big Data Analytics

8 big trends in big data analytics

September 14, 2020 12 Mins Read

Bill Loconzolo, vice president of data engineering at Intuit, jumped into a data lake with both feet. Dean Abbott, the chief data scientist at Smarter Remarketer, made a beeline for the cloud. The leading edge of big data and analytics, which includes data lakes for holding vast stores of data in its native format and, of course, cloud computing, is a moving target, both say. And while the technology options are far from mature, waiting…

In Artificial Intelligence

[Infographic] Applications of Artificial Intelligence (AI) in business

September 14, 2020 6 Mins Read

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 trillion per annum from their less-informed peers by 2020.” predicts Forrester Research. Although AI has been around since the 1950s, it is only recently that the technology has begun to find real-world applications (such as Apple’s Siri). The investment in AI by both tech giants as well as start-ups has increased 3 folds to $40 Billion as of 2017. Recent advances in…