Data Engineering Podcast

AUGUST 21, 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.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Data Engineering Podcast

DECEMBER 4, 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.

Data Lake 100

Data Lake MongoDB MySQL Data Warehouse 100

Monte Carlo

MARCH 25, 2024

We’ve done this by shipping integrations for: Transactional and enterprise data warehouse solutions like Oracle, SAP, Teradata, MySQL, Azure SQL database, Postgres, Greenplum. Building integrations for vector databases like Pinecone and Supabase along with streaming solutions like Kafka to enable customers to scale AI reliability.

MySQL 64

MySQL Government Data Governance Kafka 64

Data Engineering Podcast

JANUARY 5, 2020

How has the tight coupling with Kafka impacted the direction and capabilities of Debezium? How has the tight coupling with Kafka impacted the direction and capabilities of Debezium? What are some of the other options on the market for handling change data capture? What, if any, other substrates does Debezium support (e.g.

Database 100

Database Kafka PostgreSQL MySQL 100

Cloudera

SEPTEMBER 28, 2020

The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. Kafka, SRM, SMM.

Cloud 131

Cloud Kafka Professional Services Metadata 131

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 Scala MySQL 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 Scala MySQL 100

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

SEPTEMBER 11, 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.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

DECEMBER 9, 2018

How does it compare to some of the other streaming frameworks such as Flink, Kafka, or Storm? How does it compare to some of the other streaming frameworks such as Flink, Kafka, or Storm? What are some of the problems that Spark is uniquely suited to address? Who uses Spark? What are the tools offered to Spark users? Who uses Spark?

Scala 100

Scala MySQL Kafka Hadoop 100

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

Netflix Tech

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 77

Transportation MySQL Kafka Data 77

Striim

NOVEMBER 30, 2022

Some of the sources Striim supports include: Databases: Oracle, Microsoft SQL Server, MySQL, PostgreSQL, etc. insert, update, delete) and stream those changes to target systems like Redshift. insert, update, delete) and stream those changes to target systems like Redshift.

AWS 52

AWS Cloud Management Google Cloud 52

Rockset

MARCH 10, 2022

A platform such as Apache Kafka/Confluent , Spark or Amazon Kinesis for publishing that stream of event data. Traditionally, this information would be stored in transactional databases — Oracle Database , MySQL , PostgreSQL , etc. because they allow for mutability: Any field stored in these transactional databases is updatable.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Rockset

JANUARY 23, 2020

During his time at Facebook, in the context of the MyRocks project, a fork of MySQL that replaces InnoDB with RocksDB as MySQL’s storage engine, Mark Callaghan performed extensive and rigorous performance measurements to compare MySQL performance on InnoDB vs on RocksDB. Details can be found here.

Database 40

Database MySQL Kafka NoSQL 40

Knowledge Hut

MAY 2, 2024

It does work with a variety of other Data sources like Cassandra, MySQL, AWS S3 etc. Spark streaming also has in-built connectors for Apache Kafka which comes very handy while developing Streaming applications. Apache spark streaming along with MLlib and Apache Kafka forms the backbone of a fraud financial transaction detection.

Scala 52

Scala Hospitality Healthcare Retail 52

ProjectPro

FEBRUARY 21, 2023

Understanding of SQL database integration (Microsoft, Oracle, Postgres , and/or MySQL ). Developing analytics software, services, and components in Java, Apache Spark, Kafka , Storm, Redis, and other associated technologies like Hadoop and Zookeeper. Develop and maintain Apache Spark clusters.

Scala 52

Scala Programming Language Java Hadoop 52

Data Engineering Weekly

JANUARY 6, 2023

Our work required metadata, which we scraped from BigQuery, MySQL, Airflow, and other systems in an ad-hoc way. I want to add streaming ( Kafka ), file system ( S3 , GCS ), and data lake crawlers ( Iceberg , Hudi ). Each scraping implementation was brittle and costly to maintain. Such an experience is hardly unique.

Metadata 40

Metadata ETL Tools MySQL Data Lake 40

Rockset

MAY 11, 2021

For example, what happens when you have an event stream like Kafka but also dimension tables in your transactional database like MySQL or Postgres ? Instead look for real-time analytics platforms that are fully mutable.

Building 52

Building MySQL Kafka Data Preparation 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

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 Scala 52

Cloudera

SEPTEMBER 30, 2021

Add Kafka Service – Required for Atlas if it’s not already installed. If you are running older versions of operating systems, these will also need to be upgraded prior to the cluster upgrade commencing. Step 4b: Upgrading the RDBMS. CDP supports MariaDB 10.2-10.4, PostgreSQL 10, 11 and 12 and OracleDB 12c, 19c and 19.9.

Cloud 72

Cloud PostgreSQL Metadata MySQL 72

Silectis

JANUARY 3, 2021

Kafka Apache Kafka is the Apache Foundation’s open-source software platform for streaming. MySQL An open-source relational databse management system with a client-server model. Hadoop / HDFS Apache’s open-source software framework for processing big data. HDFS stands for Hadoop Distributed File System.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

DECEMBER 7, 2021

You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. Source Code: Build a Data Pipeline using Airflow, Kinesis, and AWS Snowflake Apache Kafka The primary feature of Apache Kafka , an open-source distributed event streaming platform, is a message broker (also known as a distributed log).

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

AUGUST 11, 2022

I remember back in the day when you had to set up your clusters and run Hadoop and Kafka clusters on top, it was quite expensive. For message queues and processing, there is Kafka and Spark. People want a point-in-time snapshot of their data as it gets extracted from a MySQL or Postgres database. Joe Reis I love CDC.

Bytes 52

Bytes Consulting Kafka MongoDB 52

LinkedIn Engineering

DECEMBER 19, 2023

This process continuously sends metadata information to Kafka , including health reports and version data, among other details. A hardware checks service also collects and maintains hardware failure reports for the worker nodes in a MySQL database.

Big Data 92

Big Data Hadoop Metadata Data 92

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. Use Case: Processing streaming tweets from pyspark.streaming import StreamingContext from pyspark.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 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

Confluent

MARCH 25, 2021

Self-managing a distributed system like Apache Kafka®, along with building and operating Kafka connectors, is complex and resource intensive. It requires significant Kafka skills and expertise in the development and […].

Kafka 52

Kafka Cloud Systems Building 52

Knowledge Hut

DECEMBER 26, 2023

They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout. They should have data backup, recovery, security, database design, and development skills and they should be proficient in at least one of the database management systems like Microsoft SQL Server, IBM DB2, Oracle, or MySQL.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Rockset

NOVEMBER 7, 2018

For example, Facebook deploys MySQL configured to use the MyRocks storage engine, which internally uses the RocksDB library. Transforming MySQL w/MyRocks into a CNDB is therefore a function of mapping the WAL and sstable files on to the appropriate Cloud Storage constructs. RocksDB implements the Log Structured Merge Tree (LSM-Tree).

Database 40

Database Cloud Cloud Storage MySQL 40

Rockset

OCTOBER 20, 2021

For instance, let’s say you have streaming data coming in from Kafka or Kinesis. PostgreSQL or MySQL). For high velocity data, most commonly coming from data streams, you can roll it up at write-time. Collections can also be created from other data sources including data lakes (e.g. S3 or GCS), NoSQL databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

ProjectPro

AUGUST 30, 2016

The top skills for Bank of America Hadoop developers include HBase, Hive, Sql, MySQL, Agile methodologies, MapReduce, Apache pig, Shell scripting, Distributed systems, SDLC, Python, C, Linux, Java enterprise edition, Junit, JavaScript and Maven. The average Hadoop developer salary at Bank of America includes $125K base salary, $10.6K

Banking 40

Banking Hadoop MySQL Big Data 40

AltexSoft

AUGUST 29, 2023

Common structured data sources include SQL databases like MySQL, Oracle, and Microsoft SQL Server. Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

OCTOBER 19, 2022

In this post I will demonstrate how Kafka Connect is integrated in the Cloudera Data Platform (CDP), allowing users to manage and monitor their connectors in Streams Messaging Manager while also touching on security features such as role-based access control and sensitive information handling. Kafka Connect. Streams Messaging Manager.

Kafka 73

Kafka MySQL Bytes Data 73

Cloudera

SEPTEMBER 17, 2018

Cloudera has a number of fully integrated tools such as Sqoop, Flume, Kafka, cloud service options, and optimized partner solutions from Informatica and Streamsets to satisfy our customer’s needs. In the latest release of Cloudera Enterprise (C6) we enabled Hue 4.0 Here are some highlights: Data Ingest. Data Discovery and Exploration.

Data Warehouse 53

Data Warehouse SQL Portfolio MySQL 53

Confluent

FEBRUARY 12, 2019

One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Here, I’m going to dig into one of the options available—the JDBC connector for Kafka Connect. Introduction.

Kafka 88

Kafka MySQL Bytes Java 88