Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. Integrated across the Enterprise Data Lifecycle . Cloudera Data Engineering to ingest bulk data and data from mainframes.

Database 83

Database Machine Learning Data Lake Kafka 83

LinkedIn Engineering

DECEMBER 20, 2023

In this blog post, we discuss how we are harnessing AI to help us with abuse prevention and share an overview of our infrastructure and the role it plays in identifying and mitigating abusive behavior on our platform. Collecting signals Signals are vital data points that provide insights into member activities.

Building 91

Building Algorithm Kafka Machine Learning 91

Knowledge Hut

OCTOBER 13, 2023

As per Microsoft, “A Power BI report is a multi-perspective view of a dataset, with visuals representing different findings and insights from that dataset. ” Reports and dashboards are the two vital components of the Power BI platform, which are used to analyze and visualize data. Data sources can change over time.

BI 52

BI Business Analyst Datasets Raw Data 52

Cloudera

MARCH 29, 2021

Their flagship product, SQL Stream Builder, made access to real-time data streams easily possible with just SQL (Structured Query Language). Cloudera’s customers were struggling to solve the same challenge – to query high-volumes of real-time data streams with something as simple as SQL. Data decays.

SQL 113

SQL Scala Manufacturing Java 113

ProjectPro

FEBRUARY 22, 2022

This article will teach you exciting SQL project ideas to develop data analysis skills. Data, data, everywhere! Its simplicity is due to the simplicity of the language and extracting data from a database. Even job roles like Data Analysts and Data Scientists heavily rely on SQL for fetching data from the source.

Data Analysis 52

Data Analysis SQL Project Banking 52

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. Computer vision is a subset of artificial intelligence that focuses on processing and understanding visual data.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

JANUARY 6, 2022

Humans crave stories, and visualizations allow us to create one from data. The majority of data that data scientists and machine learning engineers work with is in a structured or unstructured format that is challenging for humans to analyze and comprehend. Table of Contents Why Use Python for Data Visualization?

Python 52

Python Datasets Programming Language Data Science 52

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! Ever since there has been streaming data, there has been out-of-order data.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Netflix Tech

APRIL 26, 2022

ML algorithms can be only as good as the data that we provide to it. This post will focus on the large volume of high-quality data stored in Axion?—?our Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. An example of data about members is the video they had watched or added to their My List.

Metadata 75

Metadata Datasets Machine Learning AWS 75

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

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. This is a quick way to ingest large data sets into Rockset to start testing query speeds.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 52

DoorDash Engineering

APRIL 12, 2023

Metrics are vital for measuring success in any data-driven company, but ensuring that these metrics are consistently and accurately measured across the organization can be challenging. Dependency on SQL made it challenging for non-technical users to analyze experiments without assistance from data scientists.

SQL 82

SQL Metadata Raw Data Government 82

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. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Airbnb Tech

APRIL 30, 2021

Part-I: Introducing Minerva — Airbnb’s Metric Platform By : Amit Pahwa , Cristian Figueroa , Donghan Zhang , Haim Grosman , John Bodley , Jonathan Parks , Maggie Zhu , Philip Weiss , Robert Chang , Shao Xie , Sylvia Tomiyama , Xiaohui Sun Data is the voice of our users at scale.

Data Warehouse 52

Data Warehouse Finance Metadata Aggregated Data 52

ProjectPro

NOVEMBER 15, 2021

The adaptability and technical superiority of such open-source big data projects make them stand out for community use. As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly.

Big Data 52

Big Data Project Metadata Programming Language 52

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 143

Metadata Coding SQL Database 143

Rockset

OCTOBER 26, 2022

space has been evolving, it’s no surprise that the first version of our data infrastructure didn’t support all of these demands. As our database of record, DynamoDB was great at ingesting external data, which we stored within a single table in DynamoDB. Considering how quickly the Web 3.0 And they are a rare and expensive bunch.

SQL 52

SQL NoSQL Database Aggregated Data 52

AltexSoft

JANUARY 26, 2022

As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Quoting a comment from the Reddit discussion , “Their [analytics engineers] job is to marry the technical requirements of the data stack with the business objectives”.

Engineering 59

Engineering Software Engineer Software Engineering Data Warehouse 59

DoorDash Engineering

OCTOBER 17, 2023

SRM represents one of the most egregious data quality issues in A/B tests because it fundamentally compromises the basic assumption of random assignment. They subsequently adjust the experiment’s start date so that it does not include metric data collected prior to the bug fix. One of these challenges is sample ratio mismatch, or SRM.

Education 87

Education Kafka Algorithm Data Warehouse 87

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. Data scientists love Python, period.

Machine Learning 106

Machine Learning Python Kafka Java 106

Rockset

DECEMBER 22, 2020

The reason it’s so popular is because of how it indexes data so it’s efficient for search. We will also need to store this data in Elasticsearch. Whether you have each of these types of data in one index or separate doesn’t matter as we will be accessing them separately and joining them within our application.

SQL 40

SQL Data MongoDB Aggregated Data 40

Rockset

FEBRUARY 25, 2021

It’s difficult to create data analytics systems that can easily query across your various data sources while maintaining fast performance and real-time capabilities. Elasticsearch , originally developed for text search, has recently tried to push into the data analytics space. This can be a challenge, though.

SQL 40

SQL Data Pipeline Kafka Database 40

Rockset

AUGUST 12, 2019

Real-time analytics is used by many organizations to support mission-critical decisions on real-time data. 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.

NoSQL 40

NoSQL AWS SQL Datasets 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