Cloudera

JUNE 2, 2022

CDF-PC is a cloud native universal data distribution service powered by Apache NiFi on Kubernetes, ??allowing allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination. This blog aims to answer two questions: What is a universal data distribution service?

Systems 102

Systems Data Lake Google Cloud Data Collection 102

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data.

Hadoop 246

Hadoop Data Collection Cloud Systems 246

Rockset

DECEMBER 19, 2023

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52

Systems Machine Learning Deep Learning Media 52

Towards Data Science

APRIL 3, 2023

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! By processing a smaller set of data, more often , you effectively divide and conquer a data problem that may otherwise be cost and time prohibitive.

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Process Data Lake Systems Bytes 84

Data Engineering Podcast

JUNE 29, 2020

Summary We have machines that can listen to and process human speech in a variety of languages, but dealing with unstructured sounds in our environment is a much greater challenge. If you hand a book to a new data engineer, what wisdom would you add to it? Can you describe how your overall data management system is architected?

Data Collection 100

Data Collection Management High Quality Data Metadata 100

U-Next

OCTOBER 16, 2022

From business transactions to scientific data, sensor data, pictures, videos, and more, we can and are handling a tremendous amount of information and data every day. The KDD process in data mining is used in business in the following ways to make better managerial decisions: . What is KDD in Data Mining? .

Data Mining 40

Data Mining Process IT Raw Data 40

Data Engineering Podcast

JULY 29, 2018

Summary With the attention being paid to the systems that power large volumes of high velocity data it is easy to forget about the value of data collection at human scales. To help improve the utility of the data being collected you have started building Canopy.

Data Collection 100

Data Collection Kafka Data Warehouse Architecture 100

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Precisely

JULY 25, 2023

Organizations that run SAP can use Excel-to-SAP automation to do more with less, while also increasing agility and improving their SAP master data management process automation. We bring automation closer to the business users who own the data and the day-to-day processes that drive the business. Check out our free ebook.

Data Process 52

Data Process Process Data Data Integration 52

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. What is Data Aggregation?

Process 59

Process Data Mining Aggregated Data Portfolio 59

U-Next

OCTOBER 20, 2022

An inaccuracy known as bias in data occurs when specific dataset components are overweighted or overrepresented. In reality, computers, data, and algorithms are not entirely objective. Data analysis can indeed aid in better decision-making, yet bias can still creep in. What Does Bias Mean in Data Analytics? .

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

Data Engineering Podcast

JULY 20, 2020

Summary Wind energy is an important component of an ecologically friendly power system, but there are a number of variables that can affect the overall efficiency of the turbines. Michael Tegtmeier founded Turbit Systems to help operators of wind farms identify and correct problems that contribute to suboptimal power outputs.

Systems 100

Systems Machine Learning Manufacturing Algorithm 100

WeCloudData

OCTOBER 19, 2021

With a significant weekly readership and the rapid transition to digital content, the client first created a data pipeline which could collect and store the millions of rows of clickstream data their users generated on a daily basis. The post Consulting Case Study: Recommender Systems appeared first on WeCloudData.

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Consulting Systems NoSQL Raw Data 52

WeCloudData

OCTOBER 19, 2021

With a significant weekly readership and the rapid transition to digital content, the client first created a data pipeline which could collect and store the millions of rows of clickstream data their users generated on a daily basis. The post Consulting Case Study: Recommender Systems appeared first on WeCloudData.

Consulting 52

Consulting Systems NoSQL Raw Data 52

Edureka

FEBRUARY 20, 2023

Principles of Quality Management System: Quality planning, assurance, control, and improvement are the four primary parts of quality management. To hold them to a high and consistent level, quality management monitors the activities, tasks, and processes (inputs) utilised to produce a product or service (outputs).

Systems 52

Systems Management Manufacturing Food 52

Knowledge Hut

JANUARY 30, 2024

IT service lifecycle processes and stages are covered in five books that have been revised several times over the years. All professionals who want to take the exam for the ITIL 4 Foundation Certification must have a thorough understanding of the ITIL 4 framework and ITIL processes list.

Process 52

Process Certification Portfolio Telecommunication 52

Knowledge Hut

JULY 26, 2023

It's portrayed as a digital shield that keeps our data safe from prying eyes. Some RFID systems pose minimal risk, operating within a limited range. However, systems used in contactless payment cards or identification documents can be vulnerable to unauthorized scanning or data interception. How RFID Technology Works?

IT 52

IT Electronics Data Collection Technology 52

Data Engineering Podcast

APRIL 28, 2024

In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use. Can you describe what Pieces is and the story behind it? The past few months have seen an endless series of personalized AI tools launched.

Building 147

Building Data Lake High Quality Data Machine Learning 147

Knowledge Hut

FEBRUARY 1, 2024

Data cleaning in data science plays a pivotal role in your analysis. It’s a fundamental aspect of the data preparation stages of a machine learning cycle. The real-world data is messy. It contains spelling mistakes, incorrect values, and irrelevant or missing data values. What is Data Cleaning in Data Science?

Data Science 52

Data Science Process Data Cleanse Datasets 52

Knowledge Hut

JANUARY 18, 2024

Entering the field of data science can be extremely rewarding and beneficial to your career due to its tremendous future advancement opportunities. Data Scientists collect, analyze, and interpret large amounts of data. For more information, check out the best Data Science certification.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Knowledge Hut

JULY 31, 2023

The term "follow-up" refers to the process of monitoring and evaluating the outcomes of a project or plan, as well as managing and communicating its performance. The project aimed to improve customer relationship management, streamline sales processes and improve data analytics capabilities.

Project 52

Project IT Certification Utilities 52

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Knowledge Hut

JUNE 23, 2023

Real-time data analytics is an essential innovation that enables companies to act quickly on data. By this year, more than half of business systems would base choices on current context data. Going for certifications in Data Engineer will help you manage the data generated to meet business goals.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

AltexSoft

NOVEMBER 23, 2021

Nowadays, all organizations need real-time data to make instant business decisions and bring value to their customers faster. But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. What is data virtualization?

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Process Data Lake Metadata Data Warehouse 69

Data Engineering Weekly

MAY 8, 2023

Your colleague, Helen from finance, optimistically informs you that this should be easy since all the data has been entered into the company's databases. Receipt table (later referred to as table_receipts_index): It turns out that all the receipts were manually entered into the system, which creates unstructured data that is error-prone.

Process 52

Process Banking Raw Data Finance 52

U-Next

OCTOBER 11, 2022

The work on IDS or Intrusion Detection System was done during the years 1984 and 1986. Dorothy Denning and Peter Neumann created the Intrusion Detection Expert System with the initial iteration of the IDS (IDES). This method can quickly identify the attacks and whose signature is previously present in the system.

IT 52

IT Systems Machine Learning Data Collection 52

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

Kafka 98

Kafka Scala Java Amazon Web Services 98

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

NOVEMBER 30, 2021

When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. But before diving into making the models, the foremost and most significant thing is to acquire the correct and meaningful data to get insights from it. Can the source be single or multiple?

Process 52

Process Data Pipeline Data Warehouse AWS 52

Knowledge Hut

MARCH 7, 2024

The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. With the rise in opportunities related to Big Data, challenges are also bound to increase.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Snowflake

JANUARY 18, 2024

A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible. And in many ERP consolidations, historical data from the legacy system is lost, making it challenging to do predictive analytics. Ease of use Snowflake’s architectural simplicity improves ease of use.

Manufacturing 87

Manufacturing Unstructured Data Cloud Architecture 87

Knowledge Hut

MARCH 7, 2024

Decision Making Decision-making ability in the context of business analysis refers to the analyst’s ability to make a selection of a course of action or to be able to facilitate such a thinking process. Systems Thinking Systems do not refer only to software systems.

Business Analyst 98

Business Analyst Consulting Data Analysis Finance 98

ProjectPro

JANUARY 25, 2022

PySpark is a handy tool for data scientists since it makes the process of converting prototype models into production-ready model workflows much more effortless. Another reason to use PySpark is that it has the benefit of being able to scale to far more giant data sets compared to the Python Pandas library. Why use PySpark?

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

DECEMBER 21, 2021

Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” ” In this article, you will find out what data labeling is, how it works, which data labeling types exist, and what best practices to follow to make this process smooth as glass. .”

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Databand.ai

MAY 30, 2023

Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Cloudera

APRIL 13, 2022

If you’re AI-first, that means you have figured out how to leverage artificial intelligence to boost organizational agility so you can continuously adapt operational processes to deliver the right business outcomes. . Systems used in operations and production can be monitored on a continuous basis to improve performance and prevent downtime.

Data Collection 110

Data Collection Algorithm Machine Learning Education 110

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. Small Data is collected and processed at a slower pace.

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Big Data Datasets Data Analysis Media 52