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.

Software Engineer 201

Software Engineer Software Engineering Engineering Raw Data 201

Snowflake

NOVEMBER 11, 2024

Developers do not have to move the raw data from its original storage location. Together, these updates empower enterprises to securely derive accurate, timely insights from their data, reducing the overall cost of data-driven decision-making. The parsing function takes care of extracting text and layout from documents.

Unstructured Data 91

Unstructured Data SQL AWS Healthcare 91

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.

Data Workflow 103

Data Workflow Management Raw Data Data 103

Rockset

MARCH 27, 2019

The application you're implementing needs to analyze this data, combining it with other datasets, to return live metrics and recommended actions. But how can you interrogate the data and frame your questions correctly if you don't understand the shape of your data? This enables Rockset to generate a Smart Schema on the data.

Raw Data 40

Raw Data SQL NoSQL Datasets 40

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files.

Machine Learning 137

Machine Learning Data Science Datasets Raw Data 137

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 98

Engineering Raw Data Data Science Machine Learning 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.

Pharmaceutical 98

Pharmaceutical Raw Data Data Data Lake 98

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.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

DataKitchen

DECEMBER 9, 2022

DataOps involves collaboration between data engineers, data scientists, and IT operations teams to create a more efficient and effective data pipeline, from the collection of raw data to the delivery of insights and results. Query> An AI, Chat GPT wrote this blog post, why should I read it? .

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Maxime Beauchemin

AUGUST 28, 2017

If the data of interest isn’t already available in the structured part of the data warehouse, chances are that the analyst will proceed with a short term solution querying raw data, while the data engineer may help in properly logging and eventually carrying that data into the warehouse.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

Edureka

MARCH 26, 2025

The state-of-the-art neural networks that power generative AI are the subject of this blog, which delves into their effects on innovation and intelligent design’s potential. Multiple levels: Raw data is accepted by the input layer. Receives raw data, with each neuron representing a feature of the input.

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

Edureka

MARCH 19, 2025

They contribute to the understanding of data’s hidden structures by incorporating variables that are not directly observed but inferred from observable data. Feature Extraction: They help find relevant features that aren’t directly obvious in raw data.

Deep Learning 40

Deep Learning Machine Learning Raw Data Coding 40

Cloudera

NOVEMBER 17, 2020

The data and the techniques presented in this prototype are still applicable as creating a PCA feature store is often part of the machine learning process. . The process followed in this prototype covers several steps that you should follow: Data Ingest – move the raw data to a more suitable storage location.

Deep Learning 115

Deep Learning Machine Learning Raw Data Data Ingestion 115

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.

AWS 131

AWS Building Raw Data Architecture 131

RandomTrees

MARCH 10, 2025

From Information to Insight The difficulty is not gathering data but making sense of it. Predictive analytics and business intelligence (BI) solutions transform raw data into actionable insights, including real-time dashboards, forecasting capabilities, and scenario modelling.

Retail 52

Retail Data Governance Hospitality Banking 52

Workfall

SEPTEMBER 18, 2023

Pair this with Snowflake , the cloud data warehouse that acts as a vault for your insights, and you have a recipe for data-driven success. Get ready to explore the realm where data dreams become reality! In this blog, we will cover: What is Airbyte? With Airbyte and Snowflake, data integration is now a breeze.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

FreshBI

DECEMBER 30, 2023

Columns of numbers, equations, and raw data tend to overwhelm rather than enlighten. Enter Power BI, revolutionizing this domain with its prowess in data visualization. The Power of Visualization in Cash Flow Reporting Traditional methods of cash flow reporting often suffer from a lack of immediacy and clarity.

BI 105

BI Raw Data Banking Consulting 105

Cloudera

NOVEMBER 19, 2020

The modeling process begins with data collection. Here, Cloudera Data Flow is leveraged to build a streaming pipeline which enables the collection, movement, curation, and augmentation of raw data feeds. These feeds are then enriched using external data sources (e.g., Learn more: Fraud Prevention Resource Kit.

Government 119

Government Machine Learning Algorithm Raw Data 119

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.

SQL 111

SQL Kafka Raw Data Data 111

Cloudera

NOVEMBER 4, 2020

The Cloudera Data Platform enables insurers to effectively manage the data lifecycle more efficiently than ever before. In order to personalize the customer experience, insurers need an intelligent platform that can ingest the raw data and perform real-time and predictive analytics.

Insurance 116

Insurance Machine Learning Raw Data Manufacturing 116

Snowflake

MAY 23, 2024

Right now we’re focused on raw data quality and accuracy because it’s an issue at every organization and so important for any kind of analytics or day-to-day business operation that relies on data — and it’s especially critical to the accuracy of AI solutions, even though it’s often overlooked.

Data Pipeline 99

Data Pipeline Raw Data Data Schemas Technology 99

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.

SQL 85

SQL Raw Data Kafka Programming Language 85

Christophe Blefari

JUNE 21, 2024

I won't delve into every announcement here, but for more details, SELECT has written a blog covering the 28 announcements and takeaways from the Summit. This enables easier data management and query operations, making it possible to perform SQL-like operations and transactions directly on data files.

Metadata 147

Metadata Data Warehouse BI MySQL 147

Edureka

JANUARY 2, 2025

Power BI’s extensive modeling, real-time high-level analytics, and custom development simplify working with data. You will often need to work around several features to get the most out of business data with Microsoft Power BI. To get the most out of raw data, one must be familiar with key DAX functions like SUMX Power BI.

BI 52

BI Datasets Business Intelligence Data Analysis 52

DataKitchen

SEPTEMBER 17, 2021

A discussion of DataOps moves the focus away from organization and domains and considers one of the most important questions facing data organizations – a question that rarely gets asked. How do you build a data factory?” The data factory encompasses all of the domains in a system architecture.

Architecture 94

Architecture Data Architecture Government Raw Data 94

Cloudera

AUGUST 21, 2021

The pressures banks face call for a versatile end-to-end platform designed to drive insights, intelligence, and action from the data. Cloudera Data Platform (CDP) is an enterprise data cloud that manages the end-to-end data lifecycle – collecting raw data at the source to drive actionable insights and use cases.

Banking 103

Banking Raw Data High Quality Data Cloud 103

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.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

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.

Database 97

Database Software Engineer Software Engineering Raw Data 97

DataKitchen

AUGUST 19, 2021

Placing responsibility for all the data sets on one data engineering team creates bottlenecks. Let’s consider how to break up our architecture into data mesh domains. In figure 4, we see our raw data shown on the left. First, the data is mastered, usually by a centralized data engineering team or IT.

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

Edureka

MARCH 15, 2025

This is due to the fact that they are not sufficiently refined and that they are trained using publicly available, publicly published raw data. Given where that training data came from, it’s probable that it might misrepresents or underrepresents particular groups or concepts be given the wrong label.

Entertainment 70

Entertainment Retail Education Datasets 70

Maxime Beauchemin

JANUARY 7, 2018

While business rules evolve constantly, and while corrections and adjustments to the process are more the rule than the exception, it’s important to insulate compute logic changes from data changes and have control over all of the moving parts. Late arriving facts Late arriving facts can be problematic with a strict immutable data policy.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

Sync Computing

DECEMBER 10, 2024

In this blog post, we look at three popular options for scheduled jobs using Databricks own TPC-DI benchmark suite. The goal of this blog post is to help readers understand the pros, cons, and performance tradeoffs of the various Databricks compute options, so they can make the best choice for their workloads.

SQL 59

SQL Raw Data Cloud AWS 59

Snowflake

NOVEMBER 30, 2023

And when moving to Snowflake , you get the advantage of the Data Cloud’s architectural benefits (flexibility, scalability and high performance) as well as availability across multiple cloud providers and global regions. How many tables and views will be migrated, and how much raw data?

Data Warehouse 113

Data Warehouse Banking Data Cloud 113

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.

Software Engineer 98

Software Engineer Software Engineering Engineering Programming Language 98

Data Engineering Weekly

MARCH 31, 2024

My key highlight is that Excellent data documentation and “clean data” improve results. The blog further emphasizes its increased investment in Data Mesh and clean data. link] Databricks: PySpark in 2023 - A Year in Review Can we safely say PySpark killed Scala-based data pipelines?

Data Engineering 62

Data Engineering Data Engineer Engineering Scala 62

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.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Cloudera

AUGUST 4, 2022

Once data is in Z-order it is possible to efficiently search against more columns. In a previous blog post , we demonstrated the power of Parquet page indexes, which can greatly improve the performance of selective queries. Parquet page index filtering helps us when we have search criteria against data columns.

Telecommunication 107

Telecommunication Algorithm Raw Data Python 107