Data Engineering Podcast

JUNE 23, 2024

For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Data Lake 162

Data Lake High Quality Data Hadoop Machine Learning 162

Data Engineering Podcast

AUGUST 31, 2020

When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Can you start by describing what Firebolt is and your motivation for building it? What technologies might someone replace with Firebolt?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Data Engineering Podcast

DECEMBER 30, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Process 100

Process Building Hadoop Java 100

Data Engineering Podcast

FEBRUARY 13, 2022

To simplify the work of managing the full flow of your customer data and keep you in full control the team at Rudderstack created their eponymous open source platform that allows you to work with first and third party data, as well as build and manage reverse ETL workflows. Email hosts@dataengineeringpodcast.com ) with your story.

Building 100

Building Hadoop Data Pipeline Metadata 100

Data Engineering Podcast

MARCH 24, 2024

Summary A core differentiator of Dagster in the ecosystem of data orchestration is their focus on software defined assets as a means of building declarative workflows. With their launch of Dagster+ as the redesigned commercial companion to the open source project they are investing in that capability with a suite of new features.

Data Lake 162

Data Lake High Quality Data Hadoop Machine Learning 162

Christophe Blefari

JANUARY 20, 2024

Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. In order to understand today's data engineering I think that this is important to at least know Hadoop concepts and context and computer science basics.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Podcast

FEBRUARY 5, 2023

Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses.

Data Engineering 147

Data Engineering Data Engineer Engineering PostgreSQL 147

Data Engineering Podcast

JANUARY 6, 2019

Summary The Hadoop platform is purpose built for processing large, slow moving data in long-running batch jobs. In this episode Brock Noland and Jordan Birdsell from PhData explain how Kudu is architected, how it compares to other storage systems in the Hadoop orbit, and how to start integrating it into you analytics pipeline.

Data Analytics 100

Data Analytics Hadoop Kafka Media 100

Knowledge Hut

JULY 27, 2023

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. You can opt for Big Data training online to learn about Hadoop and big data.

Hadoop 52

Hadoop Programming Language Banking Big Data 52

Christophe Blefari

MARCH 1, 2023

dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. You can do tests in dbt — like: environment-dependent unit testing in dbt , 7 dbt testing best practices or a guide to building reliable data with dbt tests.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Knowledge Hut

DECEMBER 28, 2023

That's where Hadoop comes into the picture. Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Why Are Hadoop Projects So Important?

Hadoop 52

Hadoop Project Big Data Datasets 52

Pinterest Engineering

JULY 25, 2023

In this post, we focus on how we enhanced and extended Monarch , Pinterest’s Hadoop based batch processing system, with FGAC capabilities. The rate at which we were creating new restricted datasets threatened to outrun the number of clusters we could build and support.

Big Data 98

Big Data Accessible Accessibility Hadoop 98

Cloudera

JUNE 13, 2024

The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. But, let’s make one thing clear – we are no longer that Hadoop company. But, What Happened to Hadoop? This was the gold rush of the 21st century, except the gold was data.

Hadoop 103

Hadoop Big Data Banking Insurance 103

Data Engineering Podcast

FEBRUARY 19, 2023

It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We feel your pain. It ends up being anything but that. We feel your pain.

IT 147

IT Data Lake Metadata Data Warehouse 147

Towards Data Science

NOVEMBER 6, 2024

Therefore, we are supposed to know at the build time of each client application whether it will run via Spark Connect or not. The following describes our approach to launching client applications, which eliminates the need to build and manage two versions of JAR artifact for the same application. But we do not know that.

Scala 75

Scala Java AWS Coding 75

Data Engineering Podcast

JANUARY 21, 2024

In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. STORED AS TEXTFILE. location 'ofs://ozone1/s3v/spark-bucket/vaccine-dataset'. builder. .

Data Science 113

Data Science Cloud Hadoop Metadata 113

The Pragmatic Engineer

JUNE 13, 2023

Unlike Uber, Agoda does not make use of public cloud providers, having decided to build out its own private cloud, instead. This group doesn’t include the software layer for infrastructure, which is a software team that builds the orchestration platform (Fleet) upon Kubernetes. In some cases this makes sense.

Cloud 251

Cloud Database Utilities BI 251

Monte Carlo

OCTOBER 31, 2024

They still take on the responsibilities of a traditional data engineer, like building and managing pipelines and maintaining data quality, but they are tasked with delivering AI data products, rather than traditional data products. The ability and skills to build scalable, automated data pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Knowledge Hut

MAY 2, 2024

Compatibility MapReduce is also compatible with all data sources and file formats Hadoop supports. This method is effective, but it can significantly increase the completion times for operations with a single failure also In Spark, RDDs are the building blocks and Spark also uses it RDDs and DAG for fault tolerance.

Hadoop 96

Hadoop Scala Datasets Java 96

LinkedIn Engineering

DECEMBER 20, 2023

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. Let’s look into the critical modules that are needed to build this type of system. Our members rely on us to create an environment on our platform where they can safely learn and grow in their careers. Espresso , Venice , Rest.li

Building 91

Building Algorithm Kafka Machine Learning 91

Snowflake

SEPTEMBER 14, 2023

The Snowflake Data Cloud gives you the flexibility to build a modern architecture of choice to unlock value from your data. Prior to 2019, Marriott was an early adopter of Netezza and Hadoop, leveraging the IBM BigInsights platform. Data that previously took 48 hours to one week in Hadoop is now available near-instantly in Snowflake.

Data Architecture 122

Data Architecture Architecture Hadoop Data Warehouse 122

Data Engineering Podcast

APRIL 2, 2023

Summary The data ecosystem has been building momentum for several years now. In this episode he shares his experiences building those reports and the perspective he has gained from the exercise. In this episode he shares his experiences building those reports and the perspective he has gained from the exercise.

Hadoop 130

Hadoop Machine Learning Python Architecture 130

LinkedIn Engineering

MARCH 21, 2023

One of the most exciting parts of our work is that we get to play a part in helping progress a skills-first labor market through our team’s ongoing engineering work in building our Skills Graph. Engineering vs PyTorch Figure 6: Sample Seed Skills Graph KGBert helps build a more accurate and complex taxonomy in less time.

Building 85

Building Recruitment Machine Learning Deep Learning 85

Data Engineering Podcast

AUGUST 19, 2019

One of the early entrants that predates Hadoop and has since been open sourced is the HPCC (High Performance Computing Cluster) system. Despite being older than the Hadoop platform it doesn’t seem that HPCC Systems has seen the same level of growth and popularity. What do you have planned for the future of HPCC Systems?

Big Data 100

Big Data Hadoop Data Lake Media 100

Cloudera

JUNE 2, 2021

Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. In Ozone, HDDS (Hadoop Distributed Data Storage) layer including SCM and Datanodes provides a generic replication of containers/blocks without namespace metadata. var/lib/hadoop-ozone/scm/ozone-metadata/scm/(key|certs).

Metadata 95

Metadata Hadoop Certification Algorithm 95

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

Certification 98

Certification Programming MongoDB R (Programming) 98

Data Engineering Podcast

OCTOBER 14, 2018

Summary With the growth of the Hadoop ecosystem came a proliferation of implementations for the Hive table format. Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode.

Data Lake 100

Data Lake Big Data Cloud Hadoop 100

Knowledge Hut

MAY 3, 2024

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. Spark installations can be done on any platform but its framework is similar to Hadoop and hence having knowledge of HDFS and YARN is highly recommended. Basic knowledge of SQL.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Data Engineering Podcast

AUGUST 3, 2021

By adding support for small, incremental inserts into large table structures, and building support for arbitrary update and delete operations the Hudi project brings the best of both worlds together. Go to dataengineeringpodcast.com/97things today to get your copy! And don’t forget to thank them for their continued support of this show!

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

Data Engineering Podcast

NOVEMBER 20, 2021

In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset. Batch and streaming systems have been used in various combinations since the early days of Hadoop.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. Data scientists and data Analysts depend on data engineers to build these data pipelines. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Data Engineering Podcast

FEBRUARY 9, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Data Engineering Podcast

NOVEMBER 4, 2018

Unfortunately, it is common for different portions of the business to build their reports with different assumptions, leading to conflicting views and poor choices. Looker is a modern tool for building and sharing reports that makes it easy to get everyone on the same page. How does that change for different user roles (e.g.

Business Intelligence 100

Business Intelligence Hadoop BI Data Warehouse 100

Data Engineering Podcast

AUGUST 27, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. How has that architecture evolved from when you first began building it?

Transportation 100

Transportation Hadoop Data Security Architecture 100

Robinhood

FEBRUARY 7, 2024

Together, we are building products and services that help create a financial system everyone can participate in. Data science: Batch processing builds datasets that form the backbones of our analytics pipelines and visualization dashboards. While building this newer architecture, we encountered new challenges. and Sreeram R.

Process 82

Process Hadoop Architecture Accessibility 82

Confluent

OCTOBER 16, 2019

This article has shown how Apache Kafka as part of Confluent Platform can be used to build a powerful data system. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop and into the current world with Kafka. You can follow him on Twitter.

Kafka 19

Kafka Building Data Coding 19