The Pragmatic Engineer

JANUARY 12, 2023

In this week’s The Scoop, I analyzed this information and dissected it, going well beyond the raw data. Here are a few details from the data points, focusing on software engineering compensation. Source: The Pragmatic Engineer blog. Tier 1: hyperlocal compensation. Companies benchmark against local competitors.

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Databand.ai

JULY 19, 2023

The Transform Phase During this phase, the data is prepared for analysis. This preparation can involve various operations such as cleaning, filtering, aggregating, and summarizing the data. The goal of the transformation is to convert the raw data into a format that’s easy to analyze and interpret.

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Data Cleanse Raw Data Data Storage Data Warehouse 52

Knowledge Hut

APRIL 26, 2024

In the real world, data is not open source , as it is confidential and may contain very sensitive information related to an item , user or product. But raw data is available as open source for beginners and learners who wish to learn technologies associated with data.

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Datasets Machine Learning Deep Learning Finance 98

DataKitchen

AUGUST 9, 2021

The data industry has a wide variety of approaches and philosophies for managing data: Inman data factory, Kimball methodology, s tar schema , or the data vault pattern, which can be a great way to store and organize raw data, and more. Data mesh does not replace or require any of these.

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Pharmaceutical Raw Data Data Lake Data 98

DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data. Understanding the Architecture No company is alike and no infrastructure will be alike.

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Data Lake Building Raw Data ETL Tools 52

Cloudera

FEBRUARY 22, 2023

The ADSB raw data queried using SSB looks similar to the following: For the purposes of this example we will omit the explanation of how to set up a data provider and how to create a table we can query. The post Implementing and Using UDFs in Cloudera SQL Stream Builder appeared first on Cloudera Blog.

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SQL Raw Data Programming Language Kafka 81

Uber Engineering

FEBRUARY 28, 2019

At Uber’s scale, thousands of microservices serve millions of rides and deliveries a day, generating more than a hundred petabytes of raw data. Internally, engineering and data teams across the company leverage this data to improve the Uber experience.

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Data Workflow Management Raw Data Data 99

Databand.ai

AUGUST 30, 2023

Data testing tools: Key capabilities you should know Helen Soloveichik August 30, 2023 Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing and maintaining data quality. There are several types of data testing tools.

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Data Cleanse Data Pipeline Datasets Data Validation 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

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Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

APRIL 23, 2024

This blog will explore some of the most exciting software career options and what you need to do to get started. Data Engineer Data engineers develop or strategize software to retrieve, sort, and process raw data to extract meaningful information to assess an operation.

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Software Engineer Software Engineering Engineering Programming Language 98

Monte Carlo

FEBRUARY 9, 2023

In fact, with increasingly strict data regulations like GDPR and a renewed emphasis on optimizing technology costs, we’re now seeing a revitalization of “ Data Vault 2.0 ” data modeling. While data vault has many benefits, it is a sophisticated and complex methodology that can present challenges to data quality.

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Architecture Raw Data Metadata Data Warehouse 52

Databand.ai

JUNE 8, 2023

Learn more in our detailed guide to data quality (coming soon) Data volumes : Understanding the amount of data processed within a specific time frame helps you assess system capacity and resource utilization. Latency : The time between ingesting raw data and generating insights affects decision-making speed.

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Data Pipeline Bytes Raw Data Data Collection 52

Databand.ai

AUGUST 30, 2023

Data Processing and Transformation Data processing and transformation involve the manipulation and conversion of raw data into a format suitable for analysis, modeling, and visualization.

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Architecture Data Ingestion Data Governance Data Cleanse 52

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

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Business Intelligence BI Data Mining Raw Data 52

Workfall

JULY 18, 2023

With DBT’s materializations, our data transformations underwent a magical transformation themselves. In this blog, we’ll whisk you away on an enchanting journey through DBT materializations. So grab your wands (or keyboards), and let’s cast a spell of mastery over data transformations like never before.

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Datasets Entertainment Data Workflow Data 77

Ascend.io

APRIL 5, 2023

For analytics engineers, understanding the business needs and transforming the data to meet them are two key steps. As most experienced data teams can tell you, simply connecting raw data sources to BI tools doesn’t get the job done. A data analyst at one company could be a BI engineer at another.”

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Engineering Raw Data BI Software Engineer 52

Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). It’s a great place to learn Data Science.

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Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

DECEMBER 26, 2023

Businesses benefit at large with these data collection and analysis as they allow organizations to make predictions and give insights about products so that they can make informed decisions, backed by inferences from existing data, which, in turn, helps in huge profit returns to such businesses. What is the role of a Data Engineer?

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Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Using Cloudera Data Platform.

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Striim

NOVEMBER 17, 2023

Section 1: Connecting to the Source Database The first step in this integration journey is connecting Striim to a PostgreSQL source database that contains raw machine learning data. In this blog, we will focus on a PostgreSQL database. Inside this database, we have an iris_dataset table with the following column structure.

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Machine Learning Data Process PostgreSQL Process 52

Cloudera

FEBRUARY 21, 2023

If you ingest this log data into SSB, for example, by automatically detecting the data’s schema by sampling messages on the Kafka stream, this field will be ignored before it gets into SSB, though they are in the raw data. The post SQL Streambuilder Data Transformations appeared first on Cloudera Blog.

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SQL Kafka Raw Data Data 108

Lyft Engineering

APRIL 21, 2023

In a previous blog post , we explored the architecture and challenges of the platform. In our previous blog , we discussed the various challenges we faced in model monitoring and our strategy to address some of these issues. We briefly discussed using z-scores to find anomalies.

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Systems Building Machine Learning Datasets 105

Snowflake

FEBRUARY 21, 2023

There’s no need for ETLs, pre-aggregations that sacrifice flexibility, or additional infrastructure that requires data engineering resources. Metrics API: It provides a Metrics API that not only gives meaning to your raw data but also empowers your dev teams across the company to build with a self-service analytics API.

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AWS Raw Data Building Architecture 120

Databand.ai

AUGUST 30, 2023

Unified DataOps represents a fresh approach to managing and synchronizing data operations across several domains, including data engineering, data science, DevOps, and analytics. The goal of this strategy is to streamline the entire process of extracting insights from raw data by removing silos between teams and technologies.

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Data Governance Data Cleanse Government Data Pipeline 40

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

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Data Pipeline Data Science Raw Data Media 52

Knowledge Hut

APRIL 25, 2023

You can find a comprehensive guide on how data ingestion impacts a data science project with any Data Science course. Why Data Ingestion is Important? Data ingestion provides certain benefits to the business: The raw data coming from various sources is highly complex. Why Data Ingestion is Important?

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Data Ingestion Lambda Architecture Raw Data Kafka 52

Workfall

AUGUST 14, 2023

Two powerful tools that have emerged to simplify the management of data pipelines are DBT (Data Build Tool) and Airflow. These tools, when combined, form a dynamic duo that streamlines and scales data engineering workflows. So, let’s dive into the world of DBT and Airflow and discover how they revolutionize data pipelines.

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Data Pipeline Raw Data Data Database 62

Data Engineering Weekly

FEBRUARY 26, 2023

Identify and study the raw data. Modeling Test and optimize the output Productionise into a usable format [link] Sponsored: Replacing GA4 with Analytics on your Data Cloud The GA4 migration deadline is fast approaching. Join our webinar to learn how you can replace GA with analytics on your data cloud.

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Data Engineering Data Engineer Engineering Raw Data 57

Databand.ai

AUGUST 30, 2023

Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality. There are several types of data testing tools. In this article: Why Are Data Testing Tools Important?

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Data Cleanse Data Validation Data Pipeline Datasets 52

Workfall

JULY 4, 2023

Reading Time: 8 minutes In the world of data engineering, a mighty tool called DBT (Data Build Tool) comes to the rescue of modern data workflows. Imagine a team of skilled data engineers on an exciting quest to transform raw data into a treasure trove of insights. appeared first on The Workfall Blog.

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Data Warehouse SQL PostgreSQL Database 69

RandomTrees

FEBRUARY 6, 2024

Achieving quicker time-to-insights : By minimizing manual intervention, organizations can optimize data pipelines, alleviate bottlenecks, and expedite the transformation of raw data into actionable insights.‍ Generative AI, especially through the use of LLMs, is ushering in a renaissance in data engineering.

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Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

JANUARY 24, 2024

Much like intrepid adventurers venturing into the vast unknown, data scientists embark on a journey through the intricate maze of data, driven by the quest to unearth hidden treasures of insight. A significant part of their role revolves around collecting, cleaning, and manipulating data, as raw data is seldom pristine.

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Database-centric Data Science Machine Learning Datasets 52

DoorDash Engineering

APRIL 12, 2023

Challenges of ad-hoc SQLs Our initial goal with Curie was to standardize the analysis methodologies and simplify the experiment analysis process for data scientists. These steps ensure that our data is always up-to-date and complete. Thus, it is crucial to strike a balance between pre-aggregation and flexibility.

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SQL Metadata Raw Data Government 82

Knowledge Hut

APRIL 23, 2024

Business intelligence collects techniques, tools, and methodologies organizations use to transform raw data into valuable information and meaningful insights. So, BI empowers businesses to understand their respective customers, make data-driven decisions, and analyze market trends.

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Business Intelligence BI Data Analysis Media 52

Pinterest Engineering

JULY 18, 2023

This blog post describes TScript and how we use it at Pinterest. This becomes even more powerful with templating, which will be discussed in a later blog post. They can do that for alerting but still show the raw data in the graph. Performing operations on the returned time series.

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Database Software Engineer Software Engineering Raw Data 74

Databand.ai

JULY 10, 2023

Observability platforms not only supply raw data but also offer actionable insights through visualizations, dashboards, and alerts. Scalability: Observability platforms are built to scale with the growth of a business’s infrastructure.

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Data Pipeline Algorithm Raw Data Aggregated Data 52

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. DataOps establishes a process hub that automates data production and analytics development workflows so that the data team is more efficient, innovative and less prone to error. The Data Journey.

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Engineering Raw Data SQL Data Engineering 60