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

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

U-Next

OCTOBER 20, 2022

It is obvious that when using a GPS while driving, we must pay attention to other information streams (such as our eyes and ears). Similarly, we must consider other data sources while assessing the findings or recommendations of data analysis. . The source material is not the only way bias can enter data.

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

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. Affinity Mapping Definition: Affinity mapping is a collaborative technique in design used to organize ideas, information, and issues. This helps you keep track of the latest trends and research.

Process 52

Process Designing Unstructured Data Raw Data 52

Knowledge Hut

JANUARY 30, 2024

ITIL®, or Information Technology Infrastructure Library, is an IT service management (ITSM) framework that aligns IT services with the needs of the business. IT service lifecycle processes and stages are covered in five books that have been revised several times over the years.

Process 52

Process Certification Portfolio Telecommunication 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.

Process 83

Process Data Lake Systems Bytes 83

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

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

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

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. This data collection method was chosen because it was simple to deploy, with each employee responsible for their own receipts.

Process 52

Process Banking Raw Data Finance 52

Knowledge Hut

JANUARY 18, 2024

Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information. 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.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

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? .

Data Mining 40

Data Mining Process IT Raw Data 40

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 70

Process Kafka Government Big Data 70

The Pragmatic Engineer

OCTOBER 17, 2024

  This grant is designed to “support entrepreneurs, tech-geeks, developers, and socially engaged people, who are capable of challenging the way we search and discover information and resources on the internet” The team is tiny; only three people. Storing data: data collected is stored to allow for historical comparisons.

Cloud 273

Cloud Metadata AWS Cloud Computing 273

ProjectPro

NOVEMBER 30, 2021

Now let us try to understand ETL data pipelines in more detail. It was a manual process and very challenging as well. ETL Pipeline vs. Data Pipeline - The Differences It is common to interchangeably refer to ETL (Extract, Transform, and Load) pipelines and data pipelines.

Process 52

Process Data Pipeline Data Warehouse AWS 52

AltexSoft

DECEMBER 21, 2021

Others believe that such machines simply consume information and learn from it by themselves. Computer systems have limited capabilities without human guidance, and data labeling is the way to teach them to become “smart.” What is data labeling? So, let’s deal with how this process happens. Data collection.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Confluent

FEBRUARY 21, 2019

It caused me to wonder if there was anything that I could do with my project HELK to apply some of the relationships presented in our talk, and enrich the data collected from my endpoints in real time. This is because the Create method allows a user to create a process either locally or remotely.

Process 83

Process Kafka SQL Datasets 83

Precisely

OCTOBER 28, 2024

Efficient claims processing and transparent communications are key to customer satisfaction. To streamline the claims process and enhance the customer experience, you must adopt automation, self-service, and omnichannel communication solutions. Longer claim resolution times and inconsistent customer communications. The takeaway?

Insurance 59

Insurance Data Collection Process Technology 59

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. . Data collection and interpretation when purchasing products and services can make a big difference. Procurement.

Data Collection 111

Data Collection Algorithm Machine Learning Education 111

Engineering at Meta

APRIL 17, 2023

Millisampler runs on our server fleet collecting short, periodic snapshots of this data at 100us, 1ms, and 10ms time granularities, stores it in local disk, and makes it available for several days for on-demand analysis. The user code attaches the tc filter and enables data collection.

Bytes 113

Bytes Transportation Data Collection Coding 113

Striim

OCTOBER 11, 2024

Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL. What is a Data Pipeline? A data pipeline refers to a series of processes that transport data from one or more sources to a destination, such as a data warehouse, database, or application.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Knowledge Hut

MARCH 7, 2024

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. Below are the 5 major Big Data challenges that enterprises face in 2024: 1.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

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 88

Manufacturing Pharmaceutical Healthcare Algorithm 88

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

Striim

SEPTEMBER 11, 2024

Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value. With data volumes and sources rapidly increasing, optimizing how you collect, transform, and extract data is more crucial to stay competitive. Table of Contents What are Data Pipelines?

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

JULY 31, 2024

Letting go of legacy The ability to align research data with universally accepted data standards, such as the OHDSI OMOP Common Data Model , is a strategic imperative for AMCs. These platforms lack the scalability needed to manage the extensive data volumes and multiple concurrent research workloads essential for AMCs.

Medical 86

Medical Healthcare Insurance Hospitality 86

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Data Pipeline 117

Data Pipeline Building Manufacturing Data Warehouse 117

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. They serve as critical indicators that help teams to identify areas of improvement, make informed decisions, and enhance productivity. What are Software Metrics in Software Engineering?

Software Engineer 52

Software Engineer Software Engineering Data Collection Coding 52

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Analyst Importance The proliferation of IoT-connected objects, IoT-based sensors, rising internet usage, and sharp increases in social media activity are all enhancing businesses' ability to gather enormous amounts of data. Keep the information in your company's computer database, which might need updates frequently.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 52

Cloudera

MAY 9, 2023

With new revenue streams and more varied operational structures of business units, it was imperative for SoftBank to move to a scalable data platform, where they could have a reliable, single source of information.

Data Security 89

Data Security Telecommunication Data Lake Data Governance 89

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. Communication Skills Oral Communication It is important for a BA to be able to verbally express ideas, information or other matters.

Business Analyst 98

Business Analyst Consulting Project Data Analysis 98

Zalando Engineering

JULY 14, 2020

Challenges with our Tech Radar The Zalando Tech Radar is modelled after the Thoughtworks Technology Radar and includes a ring-based scoring for a certain technology/framework along with supplementary information about pros, cons, restrictions, usage, and lessons learned at Zalando available as a knowledge base for our teams.

Technology 40

Technology Process Programming Language Programming 40

Knowledge Hut

FEBRUARY 29, 2024

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. Learning Data Visualization To discover hidden truth or information on business problem, data needs to be viewed properly.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

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

Scott Logic

APRIL 30, 2024

Hardware Based Power meters / monitoring hardware can provide energy values based on how much power the phone is drawing when fully charged to perform a particular process. By connecting an Android phone to a PC using ADB (Android Debug Bridge) we can request a dump of this raw data, sometimes going back as far as several days.

Raw Data 72

Raw Data Data Collection Python Process 72

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