Data Engineering Podcast

APRIL 14, 2018

Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch. Interview Introduction How did you get involved in the area of data management? Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.

Data Engineering 100

Data Engineering Data Engineer Engineering Hadoop 100

Data Engineering Podcast

DECEMBER 22, 2019

Summary Transactional databases used in applications are optimized for fast reads and writes with relatively simple queries on a small number of records. Between those use cases there are varying levels of support for fast reads on quickly changing data. Data warehouses are optimized for batched writes and complex analytical queries.

SQL 100

SQL Building Engineering Java 100

Knowledge Hut

MAY 3, 2024

Introduction Before getting into the fundamentals of Apache Spark, let’s understand What really is ‘Apache Spark’ is? Apache Spark is a fast and general-purpose, cluster computing system. One would find multiple definitions when you search the term Apache Spark.

Scala 98

Scala Hadoop Healthcare Big Data 98

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Why Apache Spark?

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer. The dataset consists of metadata and audio features for 1M contemporary and popular songs.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

MAY 20, 2016

With petabytes of digital information surrounding us on any topic under the sun, we often forget the importance of reading a book , to gain in-depth understanding about the latest big data technologies. Table of Contents Why Hadoop- The Defintive guide is a must read book for Hadoop? Doug Cutting, Hadoop Founder, Yahoo!

Hadoop 40

Hadoop Big Data Portfolio Data Ingestion 40

Knowledge Hut

JANUARY 19, 2024

Introduction to Data Science Embarking on a journey into Data Science is like exploring the history and applications of a fascinating field. The syllabus should cover technologies such as Apache Hadoop and Spark, introducing concepts of distributed computing and parallel processing for effective big data management.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

If we look at history, the data that was generated earlier was primarily structured and small in its outlook. Out of the many products developed by Facebook, some are Facebook app, Messenger, Facebook Shops, Spark AR Studio, etc. You can refer to the following links to learn about Kafka: Apache Kafka Training by KnowledgeHut 6.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MARCH 27, 2024

Apache Spark. Apache Storm. Apache SAMOA. APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. Streaming can be handled by Spark using Spark Streaming.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. Before going into further details on Delta Lake, we need to remember the concept of Data Lake, so let’s travel through some history.

Data Lake 80

Data Lake Data Warehouse Hadoop Data Architecture 80

Data Engineering Podcast

NOVEMBER 26, 2023

And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. Want to see Starburst in action? Want to see Starburst in action?

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Data Engineering Podcast

MARCH 5, 2022

In this episode co-founder and CEO Stephen Goldberg shares the history of the project, how it is architected to achieve their goals, and how you can start using it today. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. How does it work?

PostgreSQL 100

PostgreSQL MongoDB Software Engineer Software Engineering 100

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. This library is integrated by execution engines such as Impala, Hive and Spark.

Data Warehouse 83

Data Warehouse Metadata Java Data 83

Scott Logic

NOVEMBER 6, 2023

Introduction Over the last decade we’ve heard more and more about data. Machine learning use cases may also want a rich history of data. Online transactional systems usually care about the final state but in BI analytics sometime we want to know the history, e.g. changes to an order.

Data Lake 52

Data Lake Kafka BI Unstructured Data 52

Rockset

MARCH 27, 2023

Stateful stream processing takes into account the history of the data. In this case, the stateful processing logic would need to maintain a running total of the temperature readings for each sensor, as well as a count of the number of readings that have been processed for each sensor.

Database 52

Database Process Scala SQL 52

AltexSoft

NOVEMBER 7, 2022

But apparently, things were much more difficult before Apache Airflow appeared. What is Apache Airflow? Apache Airflow is an open-source Python -based workflow orchestrator that enables you to design, schedule, and monitor data pipelines. Source: Apache Airflow. Source: Apache Airflow. How data engineering works.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Data Engineering Podcast

FEBRUARY 18, 2019

Introduction 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 Linode. What are some of the use cases that Alluxio enables?

Systems 100

Systems Java Media Algorithm 100

Knowledge Hut

DECEMBER 26, 2023

Leveraging Apache technologies like Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive to encapsulate, split, and isolate Big Data and virtualize Big Data servers. They will also master the essentials of monitoring, adjusting, and debugging Spark. Key Benefits and Takeaways Learn the basics of big data with Spark.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75