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

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.

Process 83

Process Data Lake Systems Bytes 83

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

Knowledge Hut

FEBRUARY 1, 2024

What is Data Cleaning in Data Science? Data cleaning is the process of identifying and fixing incorrect data. Various fixes can be made to the data values representing incorrectness in the data. Some data pipeline systems also allow you to resume the pipeline from the middle, thus, saving time.

Data Science 52

Data Science Process Data Cleanse Datasets 52

Knowledge Hut

JANUARY 18, 2024

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. Roles and Responsibilities Write data collection and processing procedures.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Striim

SEPTEMBER 11, 2024

With data volumes and sources rapidly increasing, optimizing how you collect, transform, and extract data is more crucial to stay competitive. That’s where real-time data, and stream processing can help. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

DECEMBER 14, 2020

We’ve seen organizations invest in big data solutions, and now, we’ve increasingly seen them want to build on that investment and move towards building a modern architecture that’ll help them leverage stream processing and streaming analytics. Cloudera Data Platform (CDP) is the new data cloud built for the enterprise.

Process 71

Process Kafka Government Big Data 71

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. Yahoo utilizes Apache Spark's Machine Learning capabilities to customize its news, web pages, and advertising. Some of the industry giants like Yahoo, Netflix, etc.,

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

FEBRUARY 29, 2024

Get to know more about data science for business. Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. In data analysis, EDA performs an important role.

Data Science 98

Data Science Datasets Machine Learning Database Design 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. Any delay in accessing or utilizing this crucial information represents not just lost time but forfeited opportunities and stunted innovation.

Raw Data 75

Raw Data Utilities Government Data 75

Pinterest Engineering

OCTOBER 23, 2024

Yongjun Zhang; Staff Software Engineer | William Tom; Staff Software Engineer | Sandeep Kumar; Software Engineer | Monarch, Pinterest’s Batch Processing Platform, was initially designed to support Pinterest’s ever-growing number of Apache Spark and MapReduce workloads at scale. This minor version upgrade process took approximately one year.

AWS 52

AWS Hadoop Management Algorithm 52

Databand.ai

JUNE 8, 2023

By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Data Collection Raw Data 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

Knowledge Hut

APRIL 23, 2024

These data sets consist of extensive and intricate data from diverse sources, including business transactions, social media interactions, and sensor data. Big data stands out due to its significant volume, quick velocity, and wide variety, leading to difficulties in storage, processing, analysis, and interpretation.

Big Data 52

Big Data Media Datasets Unstructured Data 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

Knowledge Hut

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Cloudera

SEPTEMBER 22, 2022

We’ve previously highlighted opportunities to improve digital claims processing with data and AI. Step one: gather the data. Utilizing a variety of data sources creates a more accurate picture of risks. Cloudera Data Platform (CDP) is such a hybrid data platform. You can read more about UDD here.

Insurance 101

Insurance Medical Machine Learning Data 101

Snowflake

OCTOBER 2, 2024

Life sciences generate enormous amounts of data that gen AI can harvest to uncover new insights. The industry deals with highly complex biological systems and processes, which gen AI can model and simulate to achieve clinical breakthroughs.

Manufacturing 86

Manufacturing Pharmaceutical Healthcare Algorithm 86

Knowledge Hut

APRIL 25, 2024

Big data can be summed up as a sizable data collection comprising a variety of informational sets. It is a vast and intricate data set. Big data has been a concept for some time, but it has only just begun to change the corporate sector. What is Big Data? This knowledge is expanding quickly.

Big Data 97

Big Data Entertainment Transportation Banking 97

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.

Big Data 52

Big Data Datasets Data Analysis Media 52

Striim

JULY 10, 2024

The utilization of predictive analytics has revolutionized nearly every industry, but perhaps none have experienced its transformative impact quite as profoundly as logistics. By leveraging predictive analytics, logistics companies can optimize supply chain processes, enhance customer satisfaction, and achieve significant cost savings.

Management 52

Management Transportation Machine Learning High Quality Data 52

Knowledge Hut

MARCH 28, 2024

Software metrics encompass a variety of measures that assess the quality, performance, and efficiency of software development processes and products. Software metrics, in the realm of software engineering, are quantifiable measures that serve to assess the efficiency and effectiveness of the software development process.

Software Engineering 52

Software Engineering Software Engineer Data Collection Coding 52

Cloudera

JANUARY 20, 2021

We have simplified this journey into five discrete steps with a common sixth step speaking to data security and governance. The six steps are: Data Collection – data ingestion and monitoring at the edge (whether the edge be industrial sensors or people in a brick and mortar retail store). Data Collection Challenge.

Manufacturing 109

Manufacturing Data Warehouse Kafka Retail 109

The Modern Data Company

APRIL 15, 2024

Data is vital to business but the process of getting from data to insights is often murky. Many on the business side may not even care how it happens but understanding this process matters. Making The Sausage – or Getting from Data to Insights Imagine your favorite dish—it’s probably perfect.

Building 52

Building Raw Data Food Data 52

Data Engineering Podcast

MAY 15, 2022

Summary Industrial applications are one of the primary adopters of Internet of Things (IoT) technologies, with business critical operations being informed by data collected across a fleet of sensors. What level of pre-processing/filtering is being done at the edge and how do you decide what information needs to be centralized?

Designing 100

Designing MongoDB AWS SQL 100

Pinterest Engineering

AUGUST 8, 2024

Notification Event Processor (NEP) is a next generation notification system developed at Pinterest, offering the flexibility to process and make decisions to send notifications in near real-time. When an event is processed, it kicks off a Pacer job that is responsible for processing the events and making send decisions.

Systems 43

Systems Machine Learning Utilities Architecture 43

Knowledge Hut

JANUARY 1, 2024

Six Sigma Black Belt is one such certification program that trains individuals to implement improvement processes in the workplace. They should learn data collection plans, understand the concept of variations and much more. Let us discuss the entire curriculum in detail.

Certification 52

Certification Data Collection Project Designing 52

Snowflake

MAY 15, 2023

First-party customer data that describes user behavior throughout the buying journey greatly enhances the accuracy and utility of attribution modeling. The critical challenges that marketers continually face are the accuracy and completeness of data along with time-to-insights.

Data Collection 78

Data Collection Utilities Cloud AWS 78

Databand.ai

JULY 3, 2023

Data reliability vs. data validity Data reliability and data validity address two distinct aspects of data quality. In the context of data management, both of these qualities play a crucial role in ensuring the integrity and utility of the data at hand. What is a data quality framework?

Data Validation 52

Data Validation Data Collection Data Machine Learning 52

Knowledge Hut

NOVEMBER 15, 2023

Example 4: To utilize my background in mechanical engineering to improve the efficiency of manufacturing processes for a leading automotive company. Example 9: To utilize my experience in chemical engineering to develop new, environmentally-friendly products for a consumer goods company. Undergone data science course.

Finance 98

Finance Business Intelligence Database-centric Certification 98

U-Next

FEBRUARY 26, 2023

Efficacious campaigns: HR professionals can utilize analytics tools to examine the success of their activities to create more effective campaigns. This data can be used to spark effective future efforts. Enter Your Data Into Excel Spreadsheet You must select data sources before you can build an Excel Dashboard.

BI 97

BI Recruitment Raw Data Utilities 97

dbt Developer Hub

JANUARY 16, 2023

Most likely, you'd start by thinking about the key risks like collision or derailment, contemplate what causal factors like scheduling software and track conditions might contribute to bad outcomes, and institute processes and metrics to detect if those situations arose. This feature is now available in dbt-utils. Now in dbt-utils! ​

Utilities 52

Utilities Datasets Data Collection Data 52

U-Next

MARCH 1, 2023

Being a hybrid role, Data Engineer requires technical as well as business skills. They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems. What is a data warehouse?

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

Knowledge Hut

JULY 28, 2023

Hence, a systematic problem-solving technique used to identify underlying causes of incidents within IT systems and processes like RCA is needed. RCA, as an integral part of ITIL, focuses on identifying the underlying causes of incidents or problems within an organization's IT systems and processes.

Utilities 52

Utilities Data Collection Certification Systems 52

Knowledge Hut

JANUARY 23, 2024

The capacity of blockchain to store and manage data enables traceability, which is utilized to aid in creating and implementing technologies for intelligent farming and index-based crop insurance. The time-stamping of all transactions in a blockchain adds an extra layer of transparency, making the entire process even more reliable.

Technology 52

Technology Food Insurance Data Collection 52

Knowledge Hut

MARCH 22, 2024

It also allows organizations to leverage data collected from IoT devices, converting IoT data into actionable information. Because it is versatile and has robust features, Azure IoT is utilized for many applications in different industries.

Cloud Computing 52

Cloud Computing Utilities Cloud Transportation 52

Snowflake

MARCH 7, 2023

Andreas von Buchwaldt, Grant Mitchell, and Steve Varley of EY (2022) write, “Typically, the necessary data is not captured by legacy processes and systems. CEOs need to identify early the new internal business and impact data they will use to create a true measurement of progress and achievement.”

Transportation 70

Transportation Data Data Lake Retail 70