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

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

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

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

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 Data Pipeline Big Data Data Collection 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

ThoughtSpot

OCTOBER 18, 2024

This requirement prompted us to explore Build Analytics—harnessing data from our build processes to gain actionable insights. By analyzing aspects such as compilation duration, resource utilization, and dependency management, we set out to streamline our development workflow and boost efficiency.

Building 52

Building Process Pipeline-centric Database-centric 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. 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

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 Raw Data Recruitment Utilities 97

Knowledge Hut

APRIL 23, 2024

Big data stands out due to its significant volume, quick velocity, and wide variety, leading to difficulties in storage, processing, analysis, and interpretation. Organizations can utilize big data to discover valuable insights, patterns, and trends that encourage innovation, enhance decision-making, and boost operational efficiency.

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

Big data revolves around extensive volumes of structured and unstructured data originating from diverse sources. Big Data classes will help you build Python skills with varied approaches to Machine Learning. Big Data classes will help you build Python skills with varied approaches to Machine Learning.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

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 101

Insurance Medical Machine Learning Data 101

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

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 70

Transportation Data Data Lake Retail 70

dbt Developer Hub

JANUARY 16, 2023

This post demonstrates how the simple act of conducting tests by group can expand the universe of possible tests, boost the sensitivity of the existing suite, and help keep our data "on track". This feature is now available in dbt-utils. For example, it would be nice if we could check for monotonicity before aggregating sensor data.

Utilities 52

Utilities Datasets Data Collection Data 52

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 109

Manufacturing Data Warehouse Kafka Retail 109

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.

Data Validation 52

Data Validation Data Collection Data Machine Learning 52

Knowledge Hut

NOVEMBER 20, 2023

Businesses process enormous amounts of data and provide real-time results by utilizing AI. AI: In contrast, data collection, software development, model deployment, data lakes/warehouses, and model deployment are typically associated with expenditures associated with AI projects.

Electronics 52

Electronics Utilities Architecture Computer Science 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Source Big Data is obtained from multiple sources, including sensors, social media platforms, Internet of Things (IoT) devices, transactional systems, and more. It involves collecting data from diverse channels and integrating them for analysis.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

MARCH 28, 2024

Purpose and Utility Software metrics allow for the quantitative assessment of software quality attributes such as reliability, maintainability, and usability. This ensures that the data collected and analyzed will provide meaningful insights into the areas of interest, such as productivity, quality, or customer satisfaction.

Software Engineer 52

Software Engineer Software Engineering Data Collection Coding 52

Pinterest Engineering

AUGUST 8, 2024

The model utilizes advanced architecture and rich features to enhance its effectiveness and content targeting. Figure 2: events generation process NEP Model & Policy Data/Labels Data Collection We logged NEP data in different ways for different purposes.

Systems 43

Systems Machine Learning Utilities Architecture 43

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 132

Engineering Software Engineer Software Engineering Transportation 132

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

Knowledge Hut

JANUARY 1, 2024

They should learn data collection plans, understand the concept of variations and much more. Utilization rates at Taylors improved by 15% Taylors is a leading construction company that deals with civil engineering tasks. As a result, their global collaboration and utilization rates improved exponentially.

Certification 52

Certification Data Collection Project Designing 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.

Designing 100

Designing MongoDB AWS SQL 100

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

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

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. Predictive analytics in logistics involves utilizing statistical algorithms and machine learning techniques to analyze historical data.

Management 52

Management Transportation Machine Learning High Quality Data 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

The Modern Data Company

APRIL 15, 2024

Transforming Data Complexity into Strategic Insight At first glance, the process of transforming raw data into actionable insights can seem daunting. The journey from data collection to insight generation often feels like operating a complex machine shrouded in mystery and uncertainty.

Building 52

Building Raw Data Food Data 52

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 Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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. One such architecture has been developed for greenhouses, utilizing a private blockchain that can be managed centrally by the farmer.

Technology 52

Technology Food Insurance Data Collection 52

Knowledge Hut

JULY 28, 2023

By utilizing the principles and methodologies of RCA within an ITIL context, organizations can gain a deeper understanding of the factors contributing to incidents, implement preventive measures, and continuously improve their IT services. Data Collection and Analysis Tools: Collect and analyze incident data, performance metrics, and logs.

Utilities 52

Utilities Data Collection Certification Systems 52

U-Next

AUGUST 17, 2022

Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain. Data is utilized in all facets of sales and results in life cycle analysis. To create autonomous data streams, Data Engineering teams use AWS.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

OCTOBER 29, 2023

The idea of this project is to build a system using the Anomaly detector service from Azure that analyzes the physiological data of patients or normal people and helps identify early signs of cardiovascular diseases so that they can be prevented or cured in time. The below image explains the resources utilized for this project: 3.

Project 52

Project Hospitality Food Datasets 52