AltexSoft

JANUARY 26, 2022

The credit for coining the new role goes to Michael Kaminsky , a former Director of Analytics at Harry’s Grooming and a founder of Recast, who wrote the article about analytics engineering on the Locally Optimistic blog in 2019. Below we list the core duties that this data specialist may undertake. Data modeling.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

Knowledge Hut

OCTOBER 13, 2023

Maintain Clean Reports Power BI report is a detailed summary of the large data set as per the criteria given by the user. They comprise tables, data sets, and data fields in detail, i.e., raw data. Working with raw data is challenging, so it is best advised to keep data clean and organized.

BI 52

BI Business Analyst Datasets Raw Data 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

ProjectPro

AUGUST 24, 2021

Nevertheless, that is not the only job in the data world. Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. How do I create a Data Engineer Portfolio?

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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.

SQL 83

SQL Metadata Raw Data Government 83

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.

Systems 107

Systems Building Machine Learning Datasets 107

Rockset

APRIL 15, 2022

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Rockset goes beyond other mutable real-time databases, though.

Analytics Application 52

Analytics Application Data Warehouse Kafka Database 52