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

LinkedIn Engineering

DECEMBER 20, 2023

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. 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.

Building 91

Building Algorithm Kafka Machine Learning 91

DoorDash Engineering

OCTOBER 17, 2023

Supported internally at DoorDash, Flink is used by many teams to run their processing jobs on streaming data. We use Flink’s built-in time-window-based aggregation functions on exposure time. We then send this aggregated data to another Kafka topic. A user can access this data within minutes after launching an experiment.

Education 87

Education Kafka Algorithm Data Warehouse 87

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

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.

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

Knowledge Hut

OCTOBER 13, 2023

Aggregate Data: If you don't need granularity, consider aggregating data before loading it into Power BI to reduce the volume of data. Sort and Filter Early: Apply sorting and filtering in your queries as early as possible to reduce the amount of data transferred and processed.

BI 52

BI Business Analyst Datasets Raw Data 52

Snowflake

FEBRUARY 6, 2023

The mantra is “earn your turns.” Now think of the growing demand for data and insights. Traditionally, organizations relied on central data teams, often residing within IT, to build data pipelines and deliver data—or even central analytics teams to deliver the insights themselves. It’s not just the data teams.

Government 65

Government Data Data Pipeline Architecture 65

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

U-Next

SEPTEMBER 7, 2022

In addition to JSON, BSON, CSV, TSV, Avro, ORC, and Parquet, data lakes can store data in a variety of formats. Typically, data lakes are used to analyze data. . Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. Gen 2 Azure Data Lake Storage .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

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

Scott Logic

JULY 26, 2023

My colleague Oliver Cronk has set out some of the principal risks in this blog post. In this blog post, I’ll provide an overview of how it worked. Even within the same user session, the aggregation of customer data can help to streamline the conversation. So, how do you mitigate the risks and harness the potential?

Banking 52

Banking Aggregated Data Retail Architecture 52

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

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

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

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. Rockset supports full-featured SQL, enabling filtering, sorting, aggregating, and joining data in SQL.

SQL 40

SQL Data Pipeline Kafka Database 40

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. In this project, the Seaborn library is used to build a bar plot showing No.

Python 52

Python Datasets Programming Language Data Science 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 142

Metadata Coding SQL Database 142

Netflix Tech

DECEMBER 10, 2018

Secondly, we utilize various signals and aggregate data such as understanding of content popularity on Netflix to enable highly relevant ads. Monet and the high-level Marketing Technology flow When we started out, the React UI layer for Monet accessed traditional REST APIs powered by an Apache Tomcat server.

Coding 111

Coding Aggregated Data Utilities Architecture 111

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

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

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

JULY 29, 2020

It can often be the case when using MongoDB as a primary online database for a heavily trafficked web application that access patterns such as joins, aggregations, and analytical queries that scan large or entire portions of a collection cannot be run due to the adverse affects they have on performance.

MongoDB 40

MongoDB Database Aggregated Data Accessible 40

ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects?

Big Data 52

Big Data Project Metadata Programming Language 52

Picnic Engineering

SEPTEMBER 8, 2022

Some of our services send events containing aggregated data which are quite bulky, so we increase the max request size to 8MB (max value for standard Confluent Cloud clusters) and enable events compression. To make compression fruitful, we also add lingering and increase batch size to have a higher data compression rate.

Kafka 52

Kafka Metadata AWS Java 52

AltexSoft

OCTOBER 21, 2022

Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. process data in real time and run streaming analytics. This enables systems using Kafka to aggregate data from many sources and to make it consistent. Another security measure is an audit log to track access.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Cloudera

NOVEMBER 9, 2018

Although the hackers did not amend the compromised records, the stolen data – such as patients’ names, national identification numbers, and home addresses – could have been sold to the dark web. Building the foundation of safe cities. Cost-effectively ingest, store and utilize data from all IoT devices.

Machine Learning 56

Machine Learning Banking Government Media 56

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

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). This enables developers, data analysts and data scientists to write streaming applications using just SQL.

SQL 111

SQL Scala Manufacturing Java 111

DoorDash Engineering

APRIL 12, 2023

Additionally, having a centralized repository of metrics facilitates easy access to metrics, empowering all members of an organization to analyze experiment results. 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.

SQL 82

SQL Metadata Raw Data Government 82

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