Data Engineering Podcast

SEPTEMBER 25, 2022

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.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 23, 2022

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.

Database 100

Database MySQL Cloud MongoDB 100

Data Engineering Podcast

OCTOBER 16, 2022

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 Food MongoDB Scala 100

Data Engineering Podcast

JULY 17, 2022

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 Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

NOVEMBER 13, 2022

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.

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

Data Engineering Podcast

OCTOBER 9, 2022

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.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

SEPTEMBER 18, 2022

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.

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

JULY 3, 2022

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 Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

SEPTEMBER 11, 2022

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 Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

JULY 10, 2022

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 Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Confluent

FEBRUARY 21, 2019

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement.

Process 80

Process Kafka Datasets SQL 80

Data Engineering Podcast

AUGUST 6, 2022

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. What are the goals of the project?

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

OCTOBER 2, 2022

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.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

JUNE 26, 2022

In this episode Malcolm Hawker shares his years of experience working in this domain to explore the combination of technical and social skills that are necessary to make an MDM project successful both at the outset and over the long term. If you’ve learned something or tried out a project from the show then tell us about it!

Data Management 100

Data Management Management MongoDB Scala 100

Snowflake

AUGUST 16, 2023

Custom Event Billing capabilities enable you to build your own pricing strategy. You can charge customers based on their usage and specify billing events based on your preferences, such as consumed rows, ingested rows and more. What remains challenging is how streaming data is brought together with batch data.

Scala 52

Scala Transportation Kafka Data Lake 52

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. You can still import other models if you want (e.g.,

Machine Learning 106

Machine Learning Python Kafka Java 106

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Healthcare Retail 52

Rockset

MAY 17, 2022

With SQL, you could simply join tables of credit histories and loan payments together and aggregate large-scale historic data sets, such as daily mortgage rates. Flexible schemas that can adjust automatically based on the structure of the incoming streaming data. Instant scaleup of data writes or queries to handle bursts of data.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Cloudera

JUNE 28, 2022

In part two we will explore how we can run real-time streaming analytics using Apache Flink, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). containing data that may have to be used to enrich the streaming data. The use case. Conclusion.

Process 81

Process Kafka SQL Machine Learning 81

ProjectPro

JANUARY 19, 2022

Data Engineer: Job Growth in Future What do Data Engineers do? Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. The significant difference today is that companies use Apache Kafka as an event streaming platform for building mission-critical infrastructures and core operations platforms.

Kafka 20

Kafka BI SQL Datasets 20

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

Data Engineering Podcast

NOVEMBER 20, 2022

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 130

Data Lake Data Ingestion MongoDB Scala 130

Knowledge Hut

AUGUST 18, 2023

Also, certified professionals enjoy various benefits such as access to Google Cloud events & resources, invitations to forums, & a digital badge that verifies their proficiency. Nevertheless, they must have a strong understanding of Java programming & Android application development, along with essential programming skills. (c)

Google Cloud 52

Google Cloud Certification Cloud Cloud Computing 52

Data Engineering Podcast

JUNE 19, 2022

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.

Metadata 130

Metadata MongoDB Scala MySQL 130

Data Engineering Podcast

JULY 31, 2022

The Arkouda project is a Python interface built on top of the Chapel compiler to bring back those interactive speeds for exploratory analysis on horizontally scalable compute that parallelizes operations on large volumes of data. What are the main goals of the project? Can you describe what Arkouda is and the story behind it?

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Rock the JVM

JANUARY 21, 2023

Giannis is a proud alumnus of Rock the JVM, working as a Solutions Architect with a focus on Event Streaming and Stream Processing Systems. Introduction Apache Kafka is a well-known event streaming platform used in many organizations worldwide. The producer will send some events to Kafka. Enter Giannis: 1. Show me the Code ?

Kafka 65

Kafka Java Scala Coding 65

ProjectPro

JANUARY 25, 2022

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? 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. Why use PySpark? What is PySpark?

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

NOVEMBER 15, 2021

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

SEPTEMBER 21, 2023

It is developed in Java and built upon the highly reputable Apache Lucene library. Analysis of logs, metrics, and security events. Elasticsearch supports machine learning algorithms that can automatically model and analyze the behavior of your data in real time, providing valuable insights and predictions. What is Elasticsearch?

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. Sqoop makes data analysis efficient.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

DECEMBER 28, 2021

Whether you're working with semi-structured, structured, streaming, or machine learning data, Apache Spark is a fast, easy-to-use framework that allows you to solve various complex data issues. The raw event data can be converted into structured data collected using a continuous ETL pipeline based on Kafka, Spark Streaming, and HDFS.

Architecture 52

Architecture Kafka Java Scala 52

Knowledge Hut

JULY 6, 2023

Support is available for popular languages such as.NET, Java, and Node.js. Integrates with Azure Event Hubs, Azure Logic Apps, multiple APIs, and other external event management tools. NET) Java, JavaScript, Node.js, and Python are hosted on-prem and in the cloud. However, there are costs associated with data ingestion.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

ProjectPro

NOVEMBER 22, 2021

Python has a large library set, which is why the vast majority of data scientists and analytics specialists use it at a high level. If you are interested in landing a big data or Data Science job, mastering PySpark as a big data tool is necessary. The uName and the event timestamp are then combined to make a tuple.

Hadoop 52

Hadoop Python Datasets Metadata 52

Confluent

OCTOBER 10, 2019

Kafka-native options to note for MQTT integration beyond Kafka client APIs like Java, Python,NET, and C/C++ are: Kafka Connect source and sink connectors , which integrate with MQTT brokers in both directions. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Reprocessing of events.

Kafka 20

Kafka Google Cloud Architecture Machine Learning 20

Snowflake

MARCH 30, 2023

3EJHjvm Once a business need is defined and a minimal viable product ( MVP ) is scoped, the data management phase begins with: Data ingestion: Data is acquired, cleansed, and curated before it is transformed. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

Engineering 83

Engineering Raw Data Data Science Scala 83

phData: Data Engineering

JANUARY 3, 2022

However, defining how each of these is going to be accomplished is core to any software engineering product/project. The product owner is responsible for envisioning what the product/project would look like and accomplish, and then determining the team members and funding involved. Time is money, right?

IT 52

IT AWS Software Engineer Software Engineering 52