Data Engineering Podcast

NOVEMBER 20, 2021

With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. What are the benefits that it provides?

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Afterpay Tech

SEPTEMBER 24, 2020

User friendly learning curve : We prefer languages such as Python and SQL our users are already familiar with, so that they can focus on delivering business value, rather than forcing them to learn more engineering-focused technologies like Apache Spark, needed to get most out of certain commercial platforms. How did we overcome them?

Data Science 52

Data Science Building Data Lake Machine Learning 52

ProjectPro

JULY 30, 2021

Apache Spark - Apache Spark is an open-source analytics engine that computes and processes large datasets. Apache Spark forms the complete big data solution along with HDFS, Yarn, Map-Reduce. In ELB, there is no concept of target groups in routing. It offers read-write consistency.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

DECEMBER 10, 2021

It can handle massive numbers of application requests by storing highly trafficked data in server memory, where it can be written to and read fast. Page blobs: These store random access files up to 8 TiB and are intended for reading/writing operations that occur often. Briefly discuss the Azure Kubernetes Service (AKS).

BI 52

BI Cloud Computing SQL Database 52

phData: Data Engineering

JANUARY 3, 2022

You can read the full guide without giving us your email — keep scrolling !) While there’s still an initial concept and inception of the team, the framework works on deliverables in a smaller time frame. Now part of the Apache Foundation, it originally was developed by CollabNet, Inc. Want to Save This eBook for Later?

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

MAY 31, 2021

If you are a student looking for Apache Big Data projects, this is a perfect place to start since this project can be developed using Apache Hive. The Apache Hadoop open source big data project ecosystem with tools such as Pig, Impala, Hive, Spark, Kafka Oozie, and HDFS can be used for storage and processing.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. High cost of using Databricks may be considered a commercial, managed version of Apache Spark.

Scala 64

Scala Data Lake BI Google Cloud 64

Rock the JVM

FEBRUARY 5, 2023

In this article we will see: Why it’s powerful and how it helps democratize Stream Processing and Analytics Understand basic concepts around Streaming and Flink SQL Setup Kafka and Flink Clusters and get started with Flink SQL Understand different kinds of Processing Operators and Functions Different ways of running Flink SQL Queries 1.

SQL 63

SQL Kafka Metadata Database 63