Data Engineering Podcast

APRIL 13, 2020

Rookout has built a platform to separate the data collection process from the lifecycle of your code. In this episode, CTO Liran Haimovitch discusses the benefits of shortening the iteration cycle and bringing non-engineers into the process of identifying useful data.

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Data Engineering Podcast

AUGUST 10, 2020

If you are struggling with inconsistent implementations of event data collection, lack of clarity on what attributes are needed, and how it is being used then this is definitely a conversation worth following.

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Data Collection Data Data Engineering Data Engineer 100

Medium Data Engineering

APRIL 20, 2023

Learn to automate the collection of data from APIs by using Python. Continue reading on Medium »

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Analytics Training

OCTOBER 20, 2022

The source material is not the only way bias can enter data. It can also be introduced via data collection and analysis techniques. There are a variety of biases that might harm the data, including the following: . In data analysis, propagating a current state is a typical form of bias. Faulty Interpretation .

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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.

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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.

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RudderStack

MAY 12, 2021

In part one of this two part series on data collection, you'll learn how to collect event data.

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Data Engineering Podcast

JUNE 29, 2020

Summary We have machines that can listen to and process human speech in a variety of languages, but dealing with unstructured sounds in our environment is a much greater challenge. The team at Audio Analytic are working to impart a sense of hearing to our myriad devices with their sound recognition technology.

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Data Collection Data Management Data Engineering 100

RudderStack

OCTOBER 6, 2022

Learn how to successfully plan and instrument event tracking for your websites and applications to improve data quality at the source.

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Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

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KDnuggets

JANUARY 30, 2023

The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 5 Free Data Science Books You Must Read in 2023 • From Data Collection to Model Deployment: 6 Stages of a Data Science Project

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Python Data Science Data Collection Data 129

RudderStack

MAY 12, 2021

How to collect relational data from both cloud applications and databases, plus two other lesser, but still important, sources of data.

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KDnuggets

JANUARY 25, 2023

ChatGPT as a Python Programming Assistant • How to Use Python and Machine Learning to Predict Football Match Winners • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1 • From Data Collection to Model Deployment: 6 Stages of a Data Science Project • 5 Free Data Science Books You Must Read in 2023

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Python Machine Learning Data Science Programming 91

Hevo

MARCH 31, 2023

Data engineers are the foundation for any data-driven initiative in organizations. However, the rapid increase in data collection within organizations is clogging data engineers with several challenges. Streamlining the entire data flow at the pace of collecting data is a significant challenge for data engineers.

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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.

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KDnuggets

NOVEMBER 4, 2021

Toloka is a crowdsourced data labeling platform that handles data collection and annotation projects for machine learning at any scale. In this Nov 11 Live Demo, Learn how to get reliable training data for machine learning.

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Machine Learning Data Data Collection Project 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.

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Data Datasets Data Cleanse Data Integration 52

Engineering at Meta

APRIL 17, 2023

How it works: Millisampler comprises userspace code to schedule runs, store data, and serve data, and an eBPF-based tc filter that runs in the kernel to collect fine-timescale data. The user code attaches the tc filter and enables data collection.

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Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. Data collection and interpretation when purchasing products and services can make a big difference.

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Confluent

JULY 29, 2021

Data is at the center of our world today, especially with the ever-increasing amount of machine-generated log data collected from applications, devices, and sensors from almost every modern technology. The […].

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Data Data Collection Technology Kafka 90

Medium Data Engineering

MARCH 17, 2023

Big Data Big Data is a combination of structured, unstructured, and semi-structured data collected by organizations. Big data is often… Continue reading on Medium »

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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.

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Data Warehouse Data Architecture Data Collection 72

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.

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Data Kafka Data Warehouse Data Ingestion 111

Snowflake

FEBRUARY 15, 2023

In this post we’ll discuss strategies to turn your workers into data assets. Understand the data collection process The first step in turning frontline workers from a data liability into a data asset is to develop a deeper understanding of the data collection process, including: What data is currently being collected?

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Data Data Collection Data Warehouse Data Pipeline 52

Edureka

FEBRUARY 6, 2023

Predictive Analytics – As the name suggests, this type of analytics is focused towards forecasting the future events and roles of the data collected. Today, every decision taken within the business environment is based on data and analysis. It should follow the result needed. Get Legal team clearance Report.

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Snowflake

MAY 15, 2023

Snowplow, a leading behavioral data collection platform, empowers organizations to generate first-party customer data to build granular customer journey maps in the Snowflake Data Cloud—a cloud-built data platform for organizations’ critical data workloads, such as marketing analytics.

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Cloudera

MAY 9, 2023

At the same time, telecommunications carriers’ user location data that has been aggregated, anonymized, and processed is converted into data products that are then provided to business customers.

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Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

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Machine Learning Data Data Engineering Data Engineer 98

Cloudera

JUNE 2, 2022

Companies have not treated the collection, distribution, and tracking of data throughout their data estate as a first-class problem requiring a first-class solution. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

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Snowflake

MARCH 7, 2023

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. You should use the data you already have. Data collection and disclosure requirements keep shifting.

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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.

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Precisely

MAY 24, 2023

He explains, “No-one expects you to go from ‘zero to hero’, but I recommend that clients try to adapt the approach so that the same governance systems are put in place, and processes like data collection are automated in the same way.”

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Analytics Training

MARCH 1, 2023

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. What is a data warehouse? How does a data warehouse differ from a database?

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Cloudera

FEBRUARY 23, 2023

With the Controlled Substance Analytics platform online, KMC has eliminated manual data collection and streamlined data processing. Each day, multiple data sets, including prescriptions and patient health records, are loaded from the electronic medical records (EMR) system directly into a Cloudera enterprise data lakehouse.

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KDnuggets

OCTOBER 28, 2019

Data collection is one of the first steps of the data lifecycle — you need to get all the data you require in the first place. To collect the right data, you need to know where to find it and determine the effort involved in collecting it.

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Data Data Collection Datasets Data Science 70

Analytics Training

MARCH 7, 2023

Data Integration and Identification Clarification: You can gain helpful insights into previous consumer activities through data unification, also known as identity resolution, which combines data from many sources and links it to specific customer profiles. Salesforce’s CDP is one example.

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WeCloudData

OCTOBER 19, 2021

They use Kinesis Firehose and AWS Lambda to transform and store the data the devices collect. The data is served to the client’s app via RDS and Dynamo DB. The current pipeline randomly breaks, takes a long time to process data for frontend users, DynamoDB has a rate limit.

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