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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,…

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.…

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…

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…

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…

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…

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…

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…

he iot blog list shown underneath helps you to better understand the iot technology and gets updated with the latest iot information. Mastering iot is a long journey that involves antique and new expertise and several generation areas. If you are new to iot and you’re searching out an area to start getting to know net of things or in case you are skilled in iot products and services this iot weblog listing will assist…

Data warehousing refers to the technique of construction with the aid of a data warehouse. It is constructed by the integration of different data from several heterogeneous sources which bestow support to ad hoc queries, structured queries, analytical reporting. Data warehousing involves the integration of data, cleaning of data, and consolidation of data. Steps for the implementation of data warehousing Here is a list of the steps for the implementation of data warehousing Determining the…