ProjectPro

JANUARY 24, 2023

One of the core features of ADF is the ability to preview your data while creating your data flows efficiently and to evaluate the outcome against a sample of data before completing and implementing your pipelines. Such features make Azure data flow a highly popular tool among data engineers.

Retail 52

Retail Big Data Data Pipeline Media 52

AltexSoft

MAY 12, 2021

In this article, we’ll share key take-aways from our recent experience in building a prototype of a decision support tool that performs three tasks: lung segmentation, pneumothorax detection and localization, and. Otherwise, let’s proceed to the first and most fundamental step in building AI-fueled computer vision tools — data preparation.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

DoorDash Engineering

APRIL 12, 2023

Building a metrics layer that works for experimentation is not simple, as it should support different types of metrics of varying scale that are used across the diverse range of A/B tests that are being run across different products. Data modeling Our platform requires access to data at the raw fact or event level, not just the aggregates.

SQL 82

SQL Metadata Raw Data Government 82

ProjectPro

FEBRUARY 22, 2022

SQL Projects For Data Analysis Hoping the example above has fueled you with the zeal to enhance your programming skills in SQL , we present you with an exciting list of SQL projects for practice. You can use these SQL projects for data analysis and add them to your data analyst portfolio.

Data Analysis 52

Data Analysis SQL Project Banking 52

Netflix Tech

APRIL 26, 2022

We will share how its design has evolved over the years and the lessons learned while building it. Our machine learning models train on several weeks of data. Thus, if we want to run an experiment with a new or modified feature encoder, we need to build several weeks of feature data with this new or modified feature encoder.

Metadata 75

Metadata Datasets Machine Learning Designing 75

Rockset

NOVEMBER 1, 2022

This blog outlines best practices from customers I have helped migrate from Elasticsearch to Rockset , reducing risk and avoiding common pitfalls. In this blog, we distilled their migration journeys into 5 steps. We often see ingest queries aggregate data by time.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 52

Rockset

OCTOBER 26, 2022

One was to create another data pipeline that would aggregate data as it was ingested into DynamoDB. After finding Rockset through an AWS blog on creating leaderboards , we wasted no time in starting to build a new customer-facing leaderboard based on Rockset. Both would have required a lot of work.

SQL 52

SQL NoSQL Database Aggregated Data 52

Airbnb Tech

APRIL 30, 2021

To achieve these goals, we needed to build a robust data platform that serves the internal users’ end-to-end needs. In this post, we will share our journey in building Minerva, Airbnb’s metric platform that is used across the company as the single source of truth for analytics, reporting, and experimentation.

Data Warehouse 52

Data Warehouse Finance Metadata Aggregated Data 52

AltexSoft

JANUARY 26, 2022

For more detailed information on data science team roles, check our video. An analytics engineer is a modern data team member that is responsible for modeling data to provide clean, accurate datasets so that different users within the company can work with them. Here’s the video explaining how data engineers work.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

ProjectPro

JANUARY 6, 2022

Since matplotlib was the first Python data visualization library, several other libraries have been created or developed on top of it during research. One can build interactive 2D graphs using matplotlib, such as line graphs, scatter graphs, bar graphs, etc. This Python library is closely linked with NumPy and pandas data structures.

Python 52

Python Datasets Programming Language Data Science 52

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Python Kafka Java 107

ProjectPro

AUGUST 24, 2021

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. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

DoorDash Engineering

OCTOBER 17, 2023

Using weights in regression allows efficient scaling of the algorithm, even when interacting with large datasets. With this approach, we don’t just perform the regression computation more efficiently, we also minimize any network transfer costs and latencies and can perform much of the aggregation to get the inputs on the data warehouse.

Education 87

Education Kafka Algorithm Data Warehouse 87

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Rockset

FEBRUARY 25, 2021

Instead, this data is often semi-structured in JSON or arrays. Often this lack of structure forces developers to spend a lot of their time engineering ETL and data pipelines so that analysts can access the complex datasets. From there, you can join and aggregate data without using complex code.

SQL 40

SQL Data Pipeline Kafka Database 40

Rockset

AUGUST 12, 2019

The real-time journey typically starts with live dashboards on real-time data and soon moves to automating actions on that data with applications like instant personalization, gaming leaderboards and smart IoT systems. All that’s left then is to run our queries in our dashboard or application.

NoSQL 40

NoSQL AWS SQL Datasets 40

Rockset

DECEMBER 22, 2020

The reason it’s so popular is because of how it indexes data so it’s efficient for search. There are ways to build relationships in Elasticsearch documents, most common are: nested objects, parent-child joins, and application side joins. To do this we will need to build three separate queries.

SQL 40

SQL Data MongoDB Aggregated Data 40

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

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up. The entire collection is available here.

Metadata 142

Metadata Coding SQL Database 142

Cloudera

MARCH 29, 2021

Eventador was adept at simplifying the process of building streaming applications. Their flagship product, SQL Stream Builder, made access to real-time data streams easily possible with just SQL (Structured Query Language). Data decays. Yes, data has a shelf life. Register NOW!

SQL 111

SQL Scala Manufacturing Java 111