Data Engineering Podcast

JULY 10, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Email hosts@dataengineeringpodcast.com ) with your story. Email hosts@dataengineeringpodcast.com ) with your story.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Data Engineering Podcast

AUGUST 28, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.

Building 100

Building MongoDB MySQL Scala 100

Data Engineering Podcast

SEPTEMBER 25, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs.

Food 100

Food MongoDB MySQL Scala 100

Knowledge Hut

OCTOBER 27, 2023

With its customizable dashboard, healthcare professionals can easily view patient information and appointments, as well as track patient data and outcomes using its analytics and reporting features. Developing sophisticated machine learning algorithms and secure software systems have the prospect to revolutionize the healthcare industry.

Software Engineer 98

Software Engineer Software Engineering Coding Project 98

Rockset

AUGUST 30, 2021

Apache Kafka has made acquiring real-time data more mainstream, but only a small sliver are turning batch analytics, run nightly, into real-time analytical dashboards with alerts and automatic anomaly detection. But until this release, all these data sources involved indexing the incoming raw data on a record by record basis.

SQL 52

SQL Kafka MongoDB MySQL 52

Hevo

MAY 23, 2023

Debezium uses connectors like PostgreSQL, SQL, MySQL, Oracle, MongoDB, and more for respective databases to stream such changes. Debezium is an open-source, distributed system that can convert real-time changes of existing databases into event streams so that various applications can consume and respond immediately.

PostgreSQL 52

PostgreSQL MongoDB MySQL SQL 52

Rockset

OCTOBER 4, 2022

The broad adoption of Apache Kafka has helped make these event streams more accessible. Flink, Kafka and MySQL. Both offer SQL support and are capable of ingesting streaming data from Kafka. Rockset can be used, for example, to JOIN a Kafka stream with dimension tables from MySQL.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. Logstash offers a JDBC input plugin that polls a relational database, like PostgreSQL or MySQL, for inserts and updates periodically.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Knowledge Hut

APRIL 24, 2024

With its customizable dashboard, healthcare professionals can easily view patient information and appointments, as well as track patient data and outcomes using its analytics and reporting features. Developing sophisticated machine learning algorithms and secure software systems have the prospect to revolutionize the healthcare industry.

Software Engineer 52

Software Engineer Software Engineering Coding Project 52

Rockset

MARCH 26, 2023

Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack. PostgreSQL, MySQL, SQL Server, and even Oracle are popular choices, but there are many others that will work fine.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Rockset

JANUARY 28, 2022

Rockset works well with a wide variety of data sources, including streams from databases and data lakes including MongoDB , PostgreSQL , Apache Kafka , Amazon S3 , GCS (Google Cloud Service) , MySQL , and of course DynamoDB. Results, even for complex queries, would be returned in milliseconds.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Rockset

AUGUST 11, 2022

Our talk follows an earlier video roundtable hosted by Rockset CEO Venkat Venkataramani, who was joined by a different but equally-respected panel of data engineering experts, including: DynamoDB author Alex DeBrie ; MongoDB director of developer relations Rick Houlihan ; Jeremy Daly , GM of Serverless Cloud. Joe Reis I love CDC.

Bytes 52

Bytes Consulting Kafka MongoDB 52

Rockset

OCTOBER 20, 2021

For instance, let’s say you have streaming data coming in from Kafka or Kinesis. DynamoDB or MongoDB), and relational databases (e.g. PostgreSQL or MySQL). For high velocity data, most commonly coming from data streams, you can roll it up at write-time. S3 or GCS), NoSQL databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Equip yourself with the experience and know-how of Hadoop, Spark, and Kafka, and get some hands-on experience in AWS data engineer skills, Azure, or Google Cloud Platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Rockset

NOVEMBER 28, 2022

It works with existing streaming systems like Apache Kafka, Amazon Kinesis, and Azure Events Hubs, making it easier than ever to build a real-time data pipeline. We’ve already built CDC-based data connectors for many common sources: DynamoDB , MongoDB , and more. This method offers a few enormous advantages over batch updates.

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB SQL 52

ProjectPro

DECEMBER 7, 2021

In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. You must first create a connection to the MySQL database to use Talend to extract data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

JUNE 7, 2021

Reference Debezium Architecture To handle the queuing of changes, Debezium uses Kafka. The downside is that to use Debezium you also have to deploy a Kafka cluster so this should be weighed up when assessing your use case.

IT 40

IT Kafka Database MongoDB 40

Ascend.io

SEPTEMBER 14, 2023

Be it PostgreSQL, MySQL, MongoDB, or Cassandra, Python ensures seamless interactions. Tailored libraries like PySpark Streaming and Kafka-Python have made real-time data analysis and event processing a streamlined affair in Python.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

AUGUST 24, 2021

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 14, 2015

Tools/Tech stack used: The tools and technologies used for such page ranking using Apache Hadoop are Linux OS, MySQL, and MapReduce. Tools/Tech stack used: The tools and technologies used for such healthcare data management using Apache Hadoop are MapReduce and MongoDB. This system can even handle emergency situations if required.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Databand.ai

DECEMBER 13, 2022

Follow Zach on LinkedIn 8) Shashank Mishra Data Engineer III at Expedia Group Shashank is a data engineer with over six years of experience working in service and product companies, having solved data mysteries across aviation, pharmaceutical, fintech, and telecom companies and designed scalable and optimized data pipelines to handle petabytes of data (..)

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

AltexSoft

OCTOBER 8, 2021

There are also out-of-the-box connectors for such services as AWS, Azure, Oracle, SAP, Kafka, Hadoop, Hive, and more. MongoDB), SQL databases (e.g., MySQL), file stores (e.g., Pricing model. InfoSphere Information Server has a transparent pricing model for the cloud version: The price starts at $7,800 per month.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JULY 30, 2021

They get used in NoSQL databases like Redis, MongoDB, data warehousing. It supports six database engines, i.e. MySQL, Postgres, Amazon Aurora, MariaDB, Microsoft SQL Server, Oracle. DB used in AWS MariaDB, Postgres, MongoDB, Oracle, MySQL are some common databases used in AWS.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. Most relational databases, like PostgreSQL and MySQL, are row-based databases. In thinking about data layout, we'll contrast two approaches: row-based vs. column-based.

SQL 52

SQL Database Relational Database NoSQL 52

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

DECEMBER 21, 2023

Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Knowledge of Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. How Much Do Data Engineers Make?

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Rockset

APRIL 15, 2022

Traditional transactional databases, such as Oracle or MySQL, were designed with the assumption that data would need to be continuously updated to maintain accuracy. Explosion in Streaming Data Before Kafka, Spark and Flink, streaming came in two flavors: Business Event Processing (BEP) and Complex Event Processing (CEP).

Analytics Application 52

Analytics Application Data Warehouse Kafka Raw Data 52

Striim

FEBRUARY 14, 2023

If you’d like to join our first cohort of Striim Developers, you can sign up here. If you’d like to get an overview from a data streaming expert first, request a demo here.

PostgreSQL 52

PostgreSQL MongoDB MySQL Kafka 52