Smart Data Collective

AUGUST 9, 2023

While you don’t want to make changes unnecessarily, numerical data that seems to suggest there’s some issue can make a strong case for improving your product by developing new features or code refactoring. Those who have massive notes or snippets files would probably like something non-relational such as a Hadoop-based solution.

Data Analytics 217

Data Analytics Data Analytics Artificial Intelligence Logistics 217

InfoQ Articles

MARCH 11, 2021

Quarkus is a full-stack, Kubernetes-native Java framework that supports many coding styles, including reactive programming. Writing clean unit/component/integration tests for Quarkus applications when a reactive approach is used is vitally important. By Alex Soto.

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Smart Data Collective

APRIL 29, 2020

This process helps to transform raw data into clean data that can be analysed and aggregated. This is the defining of values that can be used in different data fields, such as postal codes or serial numbers. This is a master data management tool that cleans, matches and standardises data without coding.

Data Management 208

Data Management Data Warehouse Master Data Management Digital Transformation 208

Astera

OCTOBER 19, 2023

These user-friendly tools collect, clean, transform, and organize raw and incomplete data into a suitable and consistent format for further data processing, modeling, and analysis tasks. Data Preparation tools help users clean and transform large volumes of data faster and more efficiently than manual processes.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Analysts Corner

JANUARY 5, 2024

Adjust energy distribution to optimize the use of clean energy sources. Many other benefits can be implemented in the future in areas such as public safety, epidemic prevention, citizen service, cleaning and maintenance of public areas, tax collection, education, and wherever there are processes and rules.

Artificial Intelligence 130

Artificial Intelligence Monitoring Business Analysis Business Analysis 130

Cprime

MARCH 12, 2024

Not only are the AIs thoroughly educated on the various coding languages, best practices, and DevOps protocols; they’re also tied to massive large language models (LLMs) and GenAI engines, making them easy to communicate with and capable of generating wholly new solutions and recommendations in seconds. That’s not what it is.

Artificial Intelligence 52

Artificial Intelligence 52

Smart Data Collective

DECEMBER 18, 2020

The research report released by Kaspersky Lab stated that the cybersecurity watchdog “identified several cases where the service was misused: attackers injected malicious code into sites, which collected all the data entered by users, and then sent it via Analytics. Exploiting Header Flaws. Image: US Government Accountability Office ).

Cybersecurity 207

Cybersecurity Documentation Government Monitoring 207

Smart Data Collective

MARCH 13, 2020

During this phase, data is cleaned, analyzed, and assessed. Researcher, likes to create notebooks for writing code. Whether you’re writing code or analyzing data, this is a good rule of thumb to follow. Phase 2: Exploratory Data. This is also the period where specific questions are asked and confusion is cleared up.

Vision 252

Vision Visualization Data Visualization 252

My Agile Partner

NOVEMBER 8, 2023

As you can see, the interface is clean and efficient: Programming Python online with Programiz By clicking “RUN,” you will see the results on the right-hand side of the program you’ve written on the left. The key advantage of this tool is its user-friendliness.

Agile 52

Agile 52

Smart Data Collective

APRIL 22, 2022

So, how do you make sure that your email lists are clean of bad IPs and keep your reputation healthy? I’m sure you’ve come across a sign-up form that asks you to enter your email, then sends a code for you to enter or a link for you to click to that email address in order to verify that it actually exists.

Artificial Intelligence 248

Artificial Intelligence Big Data 248

Astera

NOVEMBER 2, 2023

This portal will contain essential resources like API documentation, key management, code samples, and developer support. Components of a Good Developer Portal An API developer portal is a gateway for developers to access documentation, sample code, tutorials, and support forums, enabling them to understand and utilize APIs easily.

Documentation 52

Documentation Visualization User Experience Monitoring 52

Roman Pichler

DECEMBER 4, 2018

As the person in charge of the product, you may not be terribly concerned about how clean and well-structured the code is. The messier the code and the less modular the architecture is, the longer it takes and the more expensive it is to change your product. You intentionally slow down, so to speak, to go faster afterwards.

Innovation 100

Innovation Digital User Experience Documentation 100

Astera

JULY 18, 2023

They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency. Cleaning data to fill missing values, remove duplicates, and correct errors. Why Invest in a Data Wrangling Tool?

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Smart Data Collective

FEBRUARY 24, 2021

Versatility, ease of use and elements that encourage writing clean code are not found in every development framework, and this is what makes React so valuable. It’s easy for developers to make simple changes, such as to buttons or to text fields, because of the component reusability feature.

Big Data 250

Big Data Data Analytics Data Analytics 250

My Agile Partner

OCTOBER 18, 2023

SonarQube, commonly referred to as Sonar, is a freely available tool used for measuring code quality. If you’re not familiar with it, SonarQube provides dashboards for tracking the quality of the source code that constitutes a product in development. It quickly became a favorite in the software craftsmanship universe.

Agile 52

Agile Monitoring 52

Astera

OCTOBER 24, 2023

In ML, getting accurate results depends on having clean and well-organized data. Data Cleaning Data cleaning focuses on sifting through the data to identify and rectify imperfections in the dataset. Data Transformation Once the data is clean, it might still not be in an optimal format for machine learning.

Data Quality 40

Data Quality Supply Chain Healthcare Real-time Data 40

Timo Elliott

MARCH 6, 2023

He highlighted technologies like SAP Data Warehouse Cloud, SAP Process Intelligence, and no-code business applications to enable business people to create their own workflows and automate processes, allowing them to work faster and more efficiently.

Artificial Intelligence 277

Artificial Intelligence Innovation Supply Chain Logistics 277

Ntara

JULY 14, 2021

Put simply, Azure DevOps is a cloud or self-hosted suite of tools that allow you to plan, work, build, and deploy code in a secure environment. It allows you to simplify and organize development and collaboration to be as clean and streamlined as possible. Time and cost savings. Azure DevOps reduces the risk for human error.

Project Management 119

Project Management Planning Digital Transformation Digital 119

Domo

APRIL 5, 2024

Imagine cleaning, integrating, and preparing your data without the headaches. It’s about putting the power of innovation in your hands, no coding required. That’s the magic we’re bringing to your fingertips. Read more about the Magic ETL updates , and contact your customer success manager (CSM) to learn more.

Innovation 131

Innovation Embedded Analytics Government Data Management 131

Astera

FEBRUARY 14, 2024

This includes data cleaning, formatting adjustments, or any other modifications needed to ensure compatibility with Salesforce data structures. There’s a notable shift towards the adoption of no-code solutions for Salesforce data migration. After ingesting the data, you can use the data preview feature to examine the data fields.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Quality 52

InfoQ Articles

MAY 24, 2021

RxJS helps developers author declarative code for handling side effects and asynchronous actions with continuous data streams and subscriptions. One of the most challenging aspects of developing any user-facing application is handling asynchronous actions such as user input and API requests cleanly and robustly. By Iskander Samatov.

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Smart Data Collective

DECEMBER 13, 2021

It is a clean and precise technique while the mark is permanent. It includes digital images, bar codes, logos, symbols, serial numbers, and 2D data matrices. There are a lot of other benefits of using both laser marking and big data that go well beyond tracking the items. You can imprint various data on metals using the technology.

Big Data 213

Big Data Data Analytics Data Analytics Digital 213

Sisense

APRIL 17, 2020

Modern cloud data engineers will never see the machines where their data and sometimes their entire code lives; their challenges now center around connecting data in the cloud with other systems to generate insights from those massive stores of data. To build a materialized view in SQL, start with this code.

Data Warehouse 90

Data Warehouse Visualization 90

Smart Data Collective

APRIL 2, 2019

Most data lakes exist with the idea that disparate bits of data will be added to the cloud which will process and clean and arrange the data as it so requires. At the moment though, being aware of how automation can help a data lake clean itself up is as good as it gets until these products start becoming available commercially.

Big Data 208

Big Data Agile Data Analytics Data Analytics 208

Tableau

MAY 6, 2021

No code or algorithms needed. Use Tableau Prep to quickly combine and clean data . Tableau Prep offers automatic data prep recommendations that allow you to combine, shape, and clean your data faster and easier. . The best part? Data preparation doesn’t have to be painful or time-consuming.

Government 100

Government Visualization Data Modelling 100

Smart Data Collective

NOVEMBER 24, 2022

You can determine specific hex codes, proper combinations, etc. Here’s a PRO TIP: Ignore the little voice inside telling you that you can fit just one more thing and go for a “clean” design! Browsing existing color palettes on Adobe Color is extraordinarily helpful. Design aspects you can align: Labels. Rows and columns.

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Artificial Intelligence User Experience Visualization Design Thinking 329

The BAWorld

APRIL 23, 2024

It is necessary to collect, process, and clean up all of the data accumulated before proceeding to the next phase. Data cleaning 3. Phase 2: Data Preparation and Processing In this stage, everything that has anything to do with data is brought together. What projects can I do with data analytics? Web scraping 2.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 52

Astera

FEBRUARY 16, 2024

Some top Python ETL tools are: Apache Airflow Luigi petl Spark pandas Advantages of Configuring ETL Using Python Easy to Learn Python has a simple and consistent syntax that makes writing and understanding ETL code easy. Python also has a REPL (read-eval-print loop) that allows interactive ETL code testing and debugging.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Government 52

Analysts Corner

SEPTEMBER 25, 2023

Learning Data Analysis Techniques Data scientists need to be proficient in data manipulation, data cleaning, and data visualization. To prepare for technical interviews, practice coding problems on platforms like LeetCode and HackerRank, and review essential data science concepts and techniques.

Artificial Intelligence 130

Artificial Intelligence Visualization Vision Data Visualization 130

Argon Digital

MARCH 27, 2024

This is where low-code automation platforms, such as Workato , become highly advantageous. Rather than navigating the complexities of customizing a robust system like SAP, integrating Workato automation with SAP allows for straightforward automation development within Workato itself.

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Astera

FEBRUARY 9, 2024

What if you could save up to 91% on coding and data preparation time, 80% on data pipeline building time, and 65% on tool costs? Data transformation and analysis require complex coding and scripting skills, such as SQL, Python, and R. Automated credit risk assessment workflows allow you to do just that. Let’s explore how!

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

FEBRUARY 9, 2024

What if you could save up to 91% on coding and data preparation time, 80% on data pipeline building time, and 65% on tool costs? Data transformation and analysis require complex coding and scripting skills, such as SQL, Python, and R. Automated credit risk assessment workflows allow you to do just that. Let’s explore how!

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Ntara

AUGUST 3, 2021

This step includes an immersion phase where we review your data, assets, source code, and available documentation (around build practices, workflows, logic, systems architecture, and more). In addition to these interviews, we conduct our own assessment by examining your source code across environments. Step 2: Compare and repair.

Digital 52

Digital Documentation Digital Transformation 52

Ntara

AUGUST 3, 2021

This step includes an immersion phase where we review your data, assets, source code, and available documentation (around build practices, workflows, logic, systems architecture, and more). In addition to these interviews, we conduct our own assessment by examining your source code across environments. Step 2: Compare and repair.

Digital 52

Digital Documentation Digital Transformation 52

The BAWorld

NOVEMBER 28, 2021

Data wrangling and exploratory analysis are part of data science and play an important role in the data analysis process as they help in properly structuring the data through data detection, data cleaning, data summarizing, etc. . What is data wrangling and data cleaning? What is Exploratory Data Analysis? Conclusion .

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Data Pine

APRIL 8, 2020

In some cases, you will need a coding solution where you can build your own queries, but in others, you will also look for a visual representation of your realational data. How To Create SQL Dashboards – Coding & Visuals. If you don’t want to use coding, a simple drag-and-drop interface will do the hard work for you.

Visualization 83

Visualization Procurement Data Visualization Monitoring 83