Advancing Analytics: Data Engineering

APRIL 23, 2020

The thought of learning Scala fills many with fear, its very name often causes feelings of terror. The truth is Scala can be used for many things; from a simple web application to complex ML (Machine Learning). The name Scala stands for “scalable language.” So what companies are actually using Scala?

Scala 52

Scala Big Data Data Engineering Data Engineer 52

ProjectPro

DECEMBER 28, 2021

Apache Spark Streaming Use Cases Spark Streaming Architecture: Discretized Streams Spark Streaming Example in Java Spark Streaming vs. Structured Streaming Spark Streaming Structured Streaming What is Kafka Streaming? Stream processing engines are designed to process data in parallel on a cluster. Too much theoretical stuff?

Architecture 52

Architecture Kafka Java Scala 52

Ascend.io

SEPTEMBER 5, 2023

Snowpark’s key benefit is its ability to support coding in languages other than SQL—such as Scala, Java, and Python—without moving data out of Snowflake and, therefore , take full advantage of its powerful capabilities through code.

IT 59

IT Scala Java Programming Language 59

Knowledge Hut

APRIL 25, 2024

Back-end development refers to designing, altering, and fixing the software part of a website. Backend Programming Languages Java, Python, PHP You need to know specific programming languages to have a career path that leads you to success. Java: This is a language that many often confuse with JavaScript. Let's dig a bit deeper.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

NOVEMBER 17, 2023

The Microsoft Certified Data Engineer is in charge of designing the entire architecture of the data flow while taking the needs of the business into account. Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Data Engineering Podcast

JUNE 19, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow. How does it work?

Metadata 130

Metadata MongoDB Scala MySQL 130

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

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Certification Programming MongoDB R (Programming) 98

ProjectPro

FEBRUARY 21, 2023

Python, Java, and Scala knowledge are essential for Apache Spark developers. Various high-level programming languages, including Python, Java , R, and Scala, can be used with Spark, so you must be proficient with at least one or two of them. Creating Spark/Scala jobs to aggregate and transform data.

Scala 52

Scala Programming Language Java Hadoop 52

Data Engineering Podcast

NOVEMBER 13, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. volume/variety/velocity, source of the data, format of the data) What are the aspects of data management and architecture that have posed the greatest challenge?

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

Data Engineering Podcast

NOVEMBER 6, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. How have the design and goals shifted since you started working on the project? Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

MongoDB 130

MongoDB Scala MySQL Data Lake 130

Knowledge Hut

APRIL 25, 2024

Big data storage technologies is a compute-and-storage architecture that collects and manages large data sets while also allowing real-time data analytics. Hadoop provides a file system (HDFS) that is designed for scalability and reliability, as well as a resource manager (YARN) that enables efficient scheduling of job execution.

Big Data 98

Big Data Technology NoSQL Hadoop 98

AltexSoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Big Data 52

Big Data Data Process Process Hadoop 52

Data Engineering Podcast

OCTOBER 9, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. What are the types of questions and insights that the C360 project is designed to answer?

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

JUNE 12, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Snowflake

DECEMBER 20, 2023

To expand the capabilities of the Snowflake engine beyond SQL-based workloads, Snowflake launched Snowpark , which added support for Python, Java and Scala inside virtual warehouse compute.

Scala 119

Scala Government Java AWS 119

Data Engineering Podcast

OCTOBER 16, 2022

Summary The "data lakehouse" architecture balances the scalability and flexibility of data lakes with the ease of use and transaction support of data warehouses. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Lake 100

Data Lake Food MongoDB Scala 100

Data Engineering Podcast

SEPTEMBER 25, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. What are some of the architectural shifts that are necessary in an organizations data platform to take advantage of CDC data streams?

Food 100

Food MongoDB Scala MySQL 100

AltexSoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.

Scala 64

Scala Data Lake BI Google Cloud 64

Knowledge Hut

NOVEMBER 28, 2023

Data engineers design, manage, test, maintain, store, and work on the data infrastructure that allows easy access to structured and unstructured data. Data engineers need to work with large amounts of data and maintain the architectures used in various data science projects. What do Data Engineers Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension. Data evolution.

Architecture 88

Architecture Programming Kafka Database-centric 88

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? On the other hand, Snowflake integrates an entirely new SQL query engine with unique cloud-native architecture.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Data Engineering Podcast

SEPTEMBER 18, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. How have the design and goals of the platform evolved since you started working on it? Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Hospitality 100

Hospitality Food MongoDB Scala 100

Knowledge Hut

MARCH 20, 2024

A software engineer is a specialist who works on software systems, including their design, development, testing, and management. Usually working in groups, software engineers collaborate with designers, project managers, and quality assurance specialists. You can learn easily from various Web Design and Development courses online.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

AltexSoft

FEBRUARY 11, 2023

A data architect is an IT professional responsible for the design, implementation, and maintenance of the data infrastructure inside an organization. To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

JUNE 5, 2022

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. How have the design and goals of the system changed or evolved over time?

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

JULY 31, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. What are some of the novel algorithms that you have had to design to support Arkouda’s objectives? What was missing that made Arkouda necessary/useful?

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Data Engineering Podcast

OCTOBER 2, 2022

In this episode co-founder Martin Sahlen explains the impact that easy access to lineage information can have on the work of data engineers and analysts, and how he and his team have designed their platform to offer that information to engineers and stakeholders in the places that they interact with data. How do you account for assets (e.g.

IT 100

IT Food PostgreSQL MongoDB 100

Knowledge Hut

MARCH 13, 2024

I know that it takes many masterminds to design and develop these applications. While the exact AI engineer responsibilities depend on where you work and what you work on, some fundamental ones include Working on the application backend with programming languages like Python, Lisp, JavaScript, Scala, etc. is important.

Engineering 52

Engineering Programming Language Scala Algorithm 52

Zalando Engineering

APRIL 18, 2017

The backend of Quala is called “tinbox” and is written in Scala , using many type-intensive libraries such as Shapeless , Circe , Grafter , and http4s/rho. One important design goal behind these libraries is to reduce boilerplate by letting the Scala compiler generate as much ceremony code as possible. versus Hydra.

Scala 40

Scala Coding Project Java 40

Towards Data Science

DECEMBER 24, 2023

It takes python/java/scala/R/SQL and converts that code into a highly optimized set of transformations. Spark is designed to leverage in-memory processing. 5— Use SQL Syntax Whether you’re using scala, java, python, SQL, or R, spark will always leverage the same transformations under the hood. Let’s dive in!

Scala 79

Scala SQL Java Python 79

Data Engineering Podcast

JULY 24, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. How did the API design shift from the initial implementation once the community started providing feedback? You’re releasing the stable 1.0

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Data Engineering Podcast

JULY 10, 2022

While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows. Summary Building and maintaining reliable data assets is the prime directive for data engineers.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. But first, let’s define the data mesh design pattern. The past decades of enterprise data platform architectures can be summarized in 69 words. The problem is not “you.”

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Scala 98

Knowledge Hut

DECEMBER 28, 2023

It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. Its data architecture is flexible, relevant, and schema-free. Scalability and Performance: Hadoop's distributed architecture allows for scalability and parallel processing. That's where Hadoop comes into the picture.

Hadoop 52

Hadoop Project Datasets Big Data 52

Data Engineering Podcast

AUGUST 13, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. What are some of the ways that you have had to adjust the design of your user experience flows since you first started?

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

Data Engineering Podcast

AUGUST 6, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. What are the primary system requirements that have influenced the design choices? Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Knowledge Hut

SEPTEMBER 29, 2023

They have a deep understanding of various cloud architectures, DevOps practices, and cloud programming languages. Responsibilities: Architecture Design: Work together to develop and deploy scalable, highly available, and secure AWS infrastructures. Examples of programming languages are Java and Node.js.

AWS 52

AWS Amazon Web Services Cloud Computing Programming Language 52