Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. What Does a Data Processing Analyst Do?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

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. Ona is a company that is building technologies to support mobile data collection, analysis of the aggregated information, and user-friendly presentations.

Data Collection 100

Data Collection Kafka Data Warehouse Architecture 100

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. Aggregation of data is useful in this situation.

Process 59

Process Data Mining Aggregated Data Portfolio 59

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.

Data Process 52

Data Process Process Data Data Integration 52

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

Knowledge Hut

FEBRUARY 1, 2024

While building predictive models, if your results aren’t satisfactory, then the two things that can go wrong are data or models. Choosing the right data is the first step in any data science application. Then comes the data format. Data cleaning in data science plays a pivotal role in your analysis.

Data Science 52

Data Science Process Data Cleanse Datasets 52

Precisely

APRIL 29, 2024

Key Takeaways: Insurers provide better customer experiences with claims processes that are simple, fast, empathetic, and deliver proactive communication throughout. Effective communication during the claims process not only improves customer satisfaction but also significantly boosts customer retention and your competitive advantage.

Insurance 64

Insurance Process Data Collection Accessibility 64

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 83

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

Analytics Vidhya

MARCH 5, 2023

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. Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version.

Hadoop 246

Hadoop Data Collection Cloud Technology 246

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

MARCH 29, 2024

With the affinity map UX design tool, scattered thoughts become structured plans, enhancing the design process and making it more satisfying. Through this process, patterns are formed, which can later be used for better decision-making and problem-solving. This collaborative grouping process improves the problem-solving process.

Process 52

Process Designing Unstructured Data Raw Data 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?

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Data Engineering Podcast

OCTOBER 8, 2023

In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. With Materialize, you can!

Insurance 162

Insurance BI SQL Machine Learning 162

Christophe Blefari

SEPTEMBER 15, 2023

Facing the News ( credits ) Hello Data News readers. If you're late to the party and you need fresh views on LLMs Daniel wrote an introduction demystifying the Large Language Models and Jesse wrote about LLMs impact from a Data Engineering perspective. — Hugo propose 7 hacks to optimise data warehouse cost.

Data Warehouse 130

Data Warehouse Data SQL Python 130

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

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Striim

OCTOBER 11, 2024

A well-executed data pipeline can make or break your company’s ability to leverage real-time insights and stay competitive. Thriving in today’s world requires building modern data pipelines that make moving data and extracting valuable insights quick and simple. Today, we’ll answer the question, “What is a data pipeline?”

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Databand.ai

MAY 30, 2023

6 Pillars of Data Quality and How to Improve Your Data Eric Jones May 30, 2023 What Is Data Quality? 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.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Hevo

JUNE 26, 2024

Organizations deal with data collected from multiple sources, which increases the complexity of managing and processing it. Oracle offers a suite of tools that helps you store and manage the data, and Apache Spark enables you to handle large-scale data processing tasks.

Data Collection 52

Data Collection Data Data Process Process 52

Knowledge Hut

JUNE 3, 2024

Data Science is the fastest emerging field in the world. It analyzes data extraction, preparation, visualization, and maintenance. Data scientists use machine learning and algorithms to bring forth probable future occurrences. Data Science in the future will be the largest field of study. What is Data Science?

Programming Language 96

Programming Language Data Science Entertainment Banking 96

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

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

The Pragmatic Engineer

OCTOBER 17, 2024

Storing data: data collected is stored to allow for historical comparisons. Benchmarking: for new server types identified – or ones that need an updated benchmark executed to avoid data becoming stale – those instances have a benchmark started on them. Each benchmarking task is evaluated sequentially.

Cloud 273

Cloud AWS Metadata Cloud Computing 273

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. 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.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Process 71

Process Kafka Government Big Data 71

Data Engineering Podcast

APRIL 28, 2024

In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Data lakes are notoriously complex. Your first 30 days are free!

Building 147

Building Data Lake High Quality Data Machine Learning 147

Snowflake

JULY 31, 2024

To accomplish these goals, AMCs need a modern data strategy that includes a robust, cloud-based data foundation and capabilities such as generative AI, data and AI applications, easy access to third-party data, and seamless data sharing and collaboration.

Medical 84

Medical Healthcare Insurance Hospitality 84

Knowledge Hut

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Cloudera

MAY 9, 2023

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

Data Security 90

Data Security Telecommunication Data Lake Data Governance 90

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 109

Manufacturing Data Warehouse Kafka Retail 109

Knowledge Hut

MAY 1, 2024

Data is everywhere, and we have all seen exponential growth in the data that is generated daily. I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns. This is where Data Science comes into the picture.

Algorithm 98

Algorithm Raw Data Data Science Computer Science 98

The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? It’s not just you – turning raw data into something meaningful can be a real challenge. In today’s fast-paced business environment, data-driven insights are the lifeblood of staying ahead.

Raw Data 75

Raw Data Utilities Government Data 75

phData: Data Engineering

JUNE 18, 2024

Machine learning (ML) is only possible because of all the data we collect. However, with data coming from so many different sources, it doesn’t always come in a format that’s easy for ML models to understand. Why Prepare Data for Machine Learning Models? As the saying goes: “Garbage in, garbage out.”

Machine Learning 52

Machine Learning Algorithm Data Preparation Datasets 52

Knowledge Hut

JANUARY 18, 2024

Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. To maximize the benefits of data science, people need to have good technical knowledge of managing the data in a production environment, without which the awareness of full stack data science is insufficient.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

DataKitchen

JUNE 21, 2024

Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis Ah, the data quality crisis. It’s that moment when your carefully crafted data pipelines start spewing out numbers that make as much sense as a cat trying to bark. But fear not, fellow data wranglers!

Data Engineering 53

Data Engineering Data Engineer Engineering Data 53