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. By the time errors have made their way into production, it’s often too late and damage is done.

MongoDB 130

MongoDB Scala MySQL Data Lake 130

Knowledge Hut

OCTOBER 26, 2023

Full-stack native application developers have experience using Swift, Objective C, and other JVM-based languages like Scala, Kotlin, and Java. Source Code: To-Do List - GitHub Tools Used: HTML, CSS, JS, Express JS, Node js, MongoDB dev.to Source Code: Blog Website - GitHub github 3. Source Code: CMS github 6.

Coding 52

Coding Project Food Portfolio 52

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. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

Metadata 130

Metadata 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. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Engineering 100

Engineering 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. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

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. Data science professionals and analysts can run a single line or multiple lines of code. Apart from necessary database queries, MongoDB has the potential to execute advanced analytics.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

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. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Security 100

Data Security Metadata MongoDB Scala 100

Ascend.io

SEPTEMBER 14, 2023

Immediate Execution: Python code runs directly through the interpreter, eliminating the need for a separate compilation step. Platform Independence: With an interpreter for a specific platform, Python code can typically run without changes. Be it PostgreSQL, MySQL, MongoDB, or Cassandra, Python ensures seamless interactions.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

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 Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Knowledge Hut

MAY 28, 2024

Your code becomes more predictable and easier to debug with declarative views. is an open-source, cross-platform back-end JavaScript runtime environment that runs on the V8 engine and runs JavaScript code outside of a web browser. Faster code execution- As Node.js React makes it painless to create interactive UIs.

Programming Language 52

Programming Language Database PostgreSQL MongoDB 52

Knowledge Hut

NOVEMBER 17, 2023

Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology. Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

APRIL 25, 2023

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. MongoDB MongoDB is a NoSQL document-oriented database that is widely used by data engineers for building scalable and flexible data-driven applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

DECEMBER 26, 2023

Computer Science Data science and coding go hand in hand. However, the level of coding required differs for different roles. Certain roles like Data Scientists require a good knowledge of coding compared to other roles. Data Analysts require good knowledge of Mathematics and Statistics, Coding, and Machine Learning.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Cloud Academy

JANUARY 27, 2022

Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. MongoDB Configuration and Setup Watch an example of deploying MongoDB to understand its benefits as a database system. Do data engineers code? The post What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Python provides frameworks/libraries like Scikit-learn, TensorFlow, PyTorch, Keras among others for building and validating ML or DL models in just 5-10 lines of code. Step 2: Practice with hands-on learning Hands-on coding is one of the most acceptable methods to advance your knowledge of Python. may be accessed using Blaze.

Data Science 92

Data Science Python Programming Language Portfolio 92

Knowledge Hut

NOVEMBER 7, 2023

Back End Developer Back-end developers perform critical roles in software development because they are in charge of writing code that determines the functionality of apps. A full stack developer must be continually informed of new coding languages and train in them. SQL, NoSQL, and Linux knowledge are required for database programming.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. The third version of the framework supports erasure coding — the fifty-year-old method which appeared to be smart enough for new-age technologies. What is Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Coding helps you link your database and work with all programming languages.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. They should be able to use PowerShell, read C# or Java code, and understand JSON.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Edureka

JANUARY 18, 2024

Programming A minimum of one programming language, such as Python, SQL, Scala, Java, or R, is required for the data science field. Discussion on Python functions, their definition, usage, and importance in modular and reusable code. Introduction to Python’s syntax, data structures, and basic operators.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. In former times, Kafka worked with Java only. You can also monitor where messages come from and who modifies what — yet, this option requires some extra coding. You can find off-the-shelf links for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 31, 2023

Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers. Spark provides APIs for the programming languages Java, Scala, and Python.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Databand.ai

DECEMBER 13, 2022

She publishes a popular blog on Medium , featuring advice for data engineers and posts frequently on LinkedIn about coding and data engineering. A data engineer at heart, Robert remains hands-on with coding and is active in many open source communities in the data domain. Mark received his M.S.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

NOVEMBER 14, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 1. Hadoop ecosystem has a very desirable ability to blend with popular programming and scripting platforms such as SQL, Java , Python, and the like which makes migration projects easier to execute. Data Integration 3.Scalability

Hadoop 52

Hadoop Project Big Data Healthcare 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., This is a characteristic of true managed services, because they must keep developers focused on what really matters, which is coding. Even if you automate the lifecycle of Kafka Connect and the connector deployment through infrastructure-as-code technologies (e.g.,

Kafka 21

Kafka Management Cloud AWS 21