U-Next

OCTOBER 20, 2022

For instance, if you’re marketing premium spirits and only train your AI using data that mimics beer drinkers’ behavior, the results will be highly wrong and distorted. The data utilized to train the ML models is a major contributor to these biases. The source material is not the only way bias can enter data.

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

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. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. There is an undeniable amount of value and utility in that information, but it also introduces significant cost and time requirements. When is Snowplow the wrong choice?

Building 130

Building IT Metadata MongoDB 130

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge. Factory ID.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Pinterest Engineering

MARCH 26, 2025

Platform-Specific Optimization: We implemented distinct module structures for mobile and web, with iOS/Android utilizing a dual-module system while web maintains a unified approach. Smooth Transitions: We engineered careful handling of status bar interactions and scroll behaviors to ensure the experience feels native on each platform.

Building 59

Building Engineering Algorithm Systems 59

Striim

MARCH 21, 2025

Take a streaming-first approach to data integration The first, and most important decision is to take a streaming first approach to integration. This means that at least the initial collection of all data should be continuous and real-time.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

Engineering at Meta

JANUARY 27, 2023

Millisampler data allows us to characterize microbursts at millisecond or even microsecond granularity. And simultaneous data collection enables analysis of how synchronized bursts interact in rack buffers.

Engineering 130

Engineering Software Engineer Software Engineering Transportation 130

Knowledge Hut

FEBRUARY 29, 2024

Best website for data visualization learning: geeksforgeeks.org Start learning Inferential Statistics and Hypothesis Testing Exploratory data analysis helps you to know patterns and trends in the data using many methods and approaches. In data analysis, EDA performs an important role.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Cloudera

SEPTEMBER 22, 2022

Step one: gather the data. Utilizing a variety of data sources creates a more accurate picture of risks. Simply stated, this approach enables data to be collected from any location and reside in any location for analytics to then be performed. Cloudera Data Platform (CDP) is such a hybrid data platform.

Insurance 102

Insurance Medical Machine Learning Data 102

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

Striim

SEPTEMBER 11, 2024

Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

MARCH 7, 2023

Improved data visibility and broader data utilization can help. For example, utilizing data infrastructures that can scale compute resources up and down to handle fluctuating demand will inherently be more energy efficient than a data warehouse with regimented sizing.

Transportation 90

Transportation Data Data Lake Retail 90

Pinterest Engineering

SEPTEMBER 20, 2023

Signal Development and Indexing The process of developing our visual body type signal essentially begins with data collection. As a first step, we took on the challenge of building a visual body type signal which will help us surface diverse content and also help ensure our recommendations are more representative of various body types.

Building 109

Building Pipeline-centric Machine Learning Datasets 109

Cloudera

NOVEMBER 19, 2020

Robust online systems have streamlined interactions and generated a wealth of new data to support mission success and enhanced citizen engagements. However, this rapid scaling up of data across government agencies brings with it new challenges. Analyzing historical data is an important strategy for anomaly detection.

Government 119

Government Machine Learning Algorithm Raw Data 119

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. He currently works at Cloudera, managing their Data-in-Motion product line.

Data Ingestion 73

Data Ingestion Retail Kafka Data Lake 73

The Modern Data Company

FEBRUARY 2, 2024

Any delay in accessing or utilizing this crucial information represents not just lost time but forfeited opportunities and stunted innovation. In today’s tech landscape, where open-source technologies have leveled the playing field, the true measure of competitive edge hinges on how effectively data is utilized.

Raw Data 75

Raw Data Utilities Government Data 75

Cloudera

SEPTEMBER 4, 2020

And that is exactly what Cloudera provides CSPs today – a single unified data management and analytics platform that empowers CSPs to get clear and actionable insights from complex data anywhere, from the edge to AI, in a compliant, secure fashion.

Machine Learning 93

Machine Learning Insurance Retail Government 93

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.

Designing 100

Designing MongoDB AWS SQL 100

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

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. This approach enables companies to decrease customer acquisition costs (CAC) and boost their return on ad spend (ROAS).

Data Collection 78

Data Collection Utilities Cloud AWS 78

Cloudera

SEPTEMBER 3, 2020

The foundation invests time, capital, experience, expertise and training to enable them to best utilize the software and their own data, in order to be self-sufficient in moving their projects forward in the years to come. . However, it’s not about “throwing software over the fence” to these organizations.

Consulting 99

Consulting Education Data Collection Programming 99

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. This results in a lack of management of data effectively.

Big Data 97

Big Data Entertainment Transportation Banking 97

Knowledge Hut

DECEMBER 27, 2023

Due to the inability to delete or amend the chain without network consensus, the data remains chronologically consistent. To manage orders, payments, accounts, and other transactions, you can utilize blockchain technology to establish an unchangeable or immutable ledger. Its rail network covers more than 185 nations.

Programming Language 98

Programming Language Banking Utilities Algorithm 98

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 Certification Database-centric Business Intelligence 98

Knowledge Hut

MAY 3, 2024

For stream processing and transformations, one can utilize the Kafka Streams API, which offers T in ETL. Due to the fact that Spark enables users to retrieve, store, and alter data. In the stream processing method, continuous computation happens as the data flows through the system.

Kafka 98

Kafka Scala Java Amazon Web Services 98

U-Next

MARCH 1, 2023

Let’s take a look at Morgan Stanley interview question : What is data engineering? The data engineering process involves the creation of systems that enable the collection and utilization of data. Analyzing this data often involves Machine Learning, a part of Data Science.

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75

Knowledge Hut

JANUARY 11, 2024

evacuation before cyclone ''Fani'' Entertainment Industry: Netflix u ses data science to personalize the content and improve recommendations. AstraZeneca also utilizes AI and machine learning to optimize the process at different stages and minimize the overall time for the clinical trials by analyzing the clinical trial data.

Data Science 98

Data Science Transportation Hospitality Banking 98

Edureka

MARCH 26, 2025

In order to uncover intricate patterns, each neuron in a hidden layer applies activation functions, biases, and weights to the data from the layer below it. The output is utilized as the anticipated value in regression. Data Preprocessing: Tools for cleaning, normalizing, and augmenting data to ensure accuracy and relevance.

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

Hevo

MARCH 15, 2023

As organizations accumulate more data, analysts face challenges in effectively utilizing the data collected by companies. Since big data comes in different forms and sizes, companies fail to create robust data pipelines to move data as soon as it arrives.

Cloud 52

Cloud Big Data Data Pipeline Data Collection 52

Monte Carlo

APRIL 27, 2023

While these bundled solutions quickly rose in popularity for marketing organizations over the past decade, questions lingered in their supporting data teams’ minds as to whether these were actually the right solution for collecting and activating customer data.

Data Warehouse 72

Data Warehouse Data Collection Architecture Data Storage 72

Cloudera

DECEMBER 14, 2020

CDP is the next generation big data solution that manages and secures the end-to-end data lifecycle – collecting, enriching, processing, analyzing, and predicting with their streaming data – to drive actionable insights and data-driven decision making. Why upgrade to CDP now?

Process 71

Process Kafka Government Big Data 71

Knowledge Hut

OCTOBER 27, 2023

They will create a plan for the data collection. All the data about the baseline and the updated project charter is measured in Phase-2 of DMAIC. Analyze All the data that is collected and measured in Phase-2 is analyzed in Phase-3 of the DMAIC. This method provides a systematic approach to issue solving.

Project 98

Project Manufacturing Food Certification 98

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

Cloudera

AUGUST 25, 2021

Thanks to the Bermuda Principles agreement of 1996, a mechanism was in place for sharing human genome data within 24 hours of generation. As different researchers made discoveries about the virus and its effect on humans, they shared their data. Of course, organizations aren’t helpless in trying to safeguard the data they share.

Healthcare 90

Healthcare Food Government Data 90

Knowledge Hut

JUNE 25, 2024

For those interested in studying this programming language, several best books for python data science are accessible. Top 8 Python Data Science Books for 2023 Python is one of the programming languages that is most commonly utilized in the field of data science. Let's have a look at some of the top ones.

Data Science 97

Data Science Python Hadoop Machine Learning 97

Snowflake

OCTOBER 2, 2024

Predictive analytics: AI models can use data, such as weather forecasts and market indicators, to predict potential quality issues, bottlenecks and disruptions in the supply chain, allowing companies to take proactive steps. This includes costs for data collection, model training, infrastructure setup and algorithmic updates.

Manufacturing 98

Manufacturing Pharmaceutical Healthcare Algorithm 98

Knowledge Hut

APRIL 30, 2024

The PMP certification is often recommended to those who are new to project management and has been designed so that individuals with diverse skills and expertise can utilize it. This is achieved through data collection, statistical analysis, statistical tools, and other tools. However, the PMP focuses on project management.

Certification 96

Certification Education Manufacturing Project 96