Data Engineering Podcast

NOVEMBER 20, 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. No more shipping and praying, you can now know exactly what will change in your database!

Data Lake 130

Data Lake Data Ingestion MongoDB Google Cloud 130

Data Engineering Podcast

NOVEMBER 6, 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. No more shipping and praying, you can now know exactly what will change in your database!

MongoDB 130

MongoDB Scala MySQL Machine Learning 130

Knowledge Hut

APRIL 25, 2024

There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB. Spark provides an interactive shell that can be used for ad-hoc data analysis, as well as APIs for programming in Java, Python, and Scala. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase.

Big Data 98

Big Data Technology Hadoop NoSQL 98

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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

JUNE 12, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Data Engineering Podcast

OCTOBER 30, 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. No more shipping and praying, you can now know exactly what will change in your database!

Engineering 100

Engineering MongoDB Scala MySQL 100

Data Engineering Podcast

JUNE 19, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Metadata 130

Metadata MongoDB Scala MySQL 130

Data Engineering Podcast

AUGUST 13, 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. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Metadata 100

Metadata MongoDB Scala MySQL 100

Data Engineering Podcast

NOVEMBER 13, 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. No more shipping and praying, you can now know exactly what will change in your database!

MongoDB 100

MongoDB Google Cloud Scala MySQL 100

Data Engineering Podcast

JULY 17, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Engineer 100

Data Engineer Data Engineering Engineering MongoDB 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. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Building 100

Building MongoDB Scala MySQL 100

Data Engineering Podcast

JULY 3, 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. What if you could mimic your entire production database to create a realistic dataset with zero sensitive data?

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 16, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Lake 100

Data Lake Food MongoDB Scala 100

Data Engineering Podcast

JUNE 5, 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. No more shipping and praying, you can now know exactly what will change in your database!

Data Security 100

Data Security Metadata MongoDB 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Food 100

Food MongoDB Scala MySQL 100

ProjectPro

NOVEMBER 5, 2014

MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets. For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

Data Engineering Podcast

SEPTEMBER 18, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

JULY 31, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Analysis 100

Data Analysis MongoDB Algorithm Scala 100

Data Engineering Podcast

JULY 24, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

MongoDB 100

MongoDB Scala MySQL Data Lake 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Engineer 100

Data Engineer Data Engineering Engineering MongoDB 100

Data Engineering Podcast

AUGUST 13, 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. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

Data Engineering Podcast

JUNE 26, 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. What if you could mimic your entire production database to create a realistic dataset with zero sensitive data?

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Podcast

OCTOBER 9, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 2, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

IT 100

IT Food PostgreSQL MongoDB 100

Monte Carlo

OCTOBER 31, 2024

The foundational skills are similar between traditional data engineers and AI data engineers are similar, with AI data engineers more heavily focused on machine learning data infrastructure, AI-specific tools, vector databases, and LLM pipelines. Let’s dive into the tools necessary to become an AI data engineer.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Data Engineering Podcast

SEPTEMBER 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. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

MongoDB 100

MongoDB Scala MySQL Machine Learning 100

Knowledge Hut

APRIL 25, 2024

Here are some things that you should learn: Recursion Bubble sort Selection sort Binary Search Insertion Sort Databases and Cache To build a high-performance system, programmers need to rely on the cache. In addition, it is required in a database to keep track of the users' responses. to manage DBMS.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Data Engineering Podcast

MAY 27, 2018

What are some of the potential pitfalls for automatic schema management in the target database? What are some of the potential pitfalls for automatic schema management in the target database? What are some of the complexities introduced by processing data from multiple customers with various compliance requirements?

Data Pipeline 100

Data Pipeline MongoDB Google Cloud Scala 100

Ascend.io

SEPTEMBER 14, 2023

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential. It's specialized for database querying.

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

Knowledge Hut

MAY 23, 2024

Along with all these, Apache spark caters to different APIs that are Python, Java, R, and Scala programmers can leverage in their program. This tool allows easy accessing of data from database files, online databases, SAS tables, and Microsoft Excel tables. It also endorses executing dynamic queries.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

APRIL 25, 2023

Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Knowledge Hut

NOVEMBER 17, 2023

To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases. Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Knowledge Hut

MAY 28, 2024

and Typescript ORM for Databases Features Hassle-free migrations- Prisma Migrate automatically generates a fully customizable SQL database migration so you can make changes to your database without generating a migration file. It also handles tasks such as merging accounts, but it can be busy if done manually.

Programming Language 52

Programming Language Database PostgreSQL MongoDB 52

Knowledge Hut

SEPTEMBER 26, 2023

We should also be familiar with programming languages like Python, SQL, and Scala as well as big data technologies like HDFS , Spark, and Hive. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems. To understand the database and its structures, you must learn SQL.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

DECEMBER 26, 2023

They also have an understanding of Database Management Systems, Online Analytical Processing (OLAP), and ETL frameworks as they are responsible for building OLAP using relational and multidimensional databases. Data Architects design, create and maintain database systems according to the business model requirements.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Database-Centric Engineer: The implementation, upkeep, and populating of analytics databases are the responsibilities of a Database-Centric Engineer. Apache Spark, Microsoft Azure, Amazon Web services, etc.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Cloud Academy

JANUARY 27, 2022

Many of them are already familiar with SQL or have experience working with databases, whether they’re relational or non-relational. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. These fundamentals will give you a solid foundation in data and datasets.

Certification 52

Certification Data Engineer Data Engineering Engineering 52