Data Engineering Podcast

JULY 24, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. 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.

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Data Engineering Podcast

SEPTEMBER 18, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. 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.

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

OCTOBER 9, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. 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.

Food 100

Food MongoDB Scala MySQL 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

Data Engineering Podcast

OCTOBER 16, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. 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

Ascend.io

SEPTEMBER 14, 2023

Plug-and-Play: Many of these libraries are designed to be integrated seamlessly , reducing development time and increasing compatibility across tasks. 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

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

Confluent

APRIL 23, 2019

When it was first created, Apache Kafka ® had a client API for just Scala and Java. This freedom of choice ultimately allows you to build an event streaming platform with the language best suited to your business needs. They make these clients more robust so that you can confidently deploy them in production.

Programming Language 100

Programming Language Kafka Programming Scala 100

Data Engineering Podcast

NOVEMBER 18, 2018

Summary Modern applications and data platforms aspire to process events and data in real time at scale and with low latency. Are there any aspects of the current design that you would do differently if you started over today? How do you handle out of order events in Flink, especially as the delay for a given event increases?

Process 100

Process Scala Google Cloud Kafka 100

Data Engineering Podcast

JULY 27, 2020

For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today!

Systems 100

Systems Building Scala Java 100

Data Engineering Podcast

AUGUST 6, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. 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.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Snowflake

AUGUST 16, 2023

Custom Event Billing capabilities enable you to build your own pricing strategy. You can charge customers based on their usage and specify billing events based on your preferences, such as consumed rows, ingested rows and more. Learn more here. Learn more here. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Snowflake

JUNE 27, 2023

When we first launched Snowpark in 2020, Snowflake introduced a secure way to deploy and process Python, Java, and Scala code in Snowflake through a set of libraries and runtimes including User Defined Functions (UDFs) and Stored Procedures.

Scala 61

Scala Programming Language Data Science Python 61

Knowledge Hut

DECEMBER 28, 2023

It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. Text Sentiment analysis Hadoop source code Big Data Cybersecurity The proposed project entails designing a Hadoop-based solution capable of processing vast volumes of cybersecurity data pertaining to threats and attacks.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

APRIL 26, 2024

This tool helps businesses measure the probability of such events, such as whether or not purchases made by a customer will be on time. On the other hand, computer engineers are responsible for the design of data and the setting up of the necessary infrastructure. If so, then this is exactly what casual predictive analysis does.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

DECEMBER 19, 2023

Java, as the language of digital technology, is one of the most popular and robust of all software programming languages. Java, like Python or JavaScript, is a coding language that is highly in demand. Java, like Python or JavaScript, is a coding language that is highly in demand. Who is a Java Full Stack Developer?

Java 98

Java Programming Language Architecture Database 98

Knowledge Hut

JUNE 16, 2023

Key Skills: Strong knowledge of AI algorithms and models Command in programming languages such as Python, Java, and C Experience in data analysis and statistical modelling Strong research and analytical skills Good communication and presentation skills An AI researcher's annual pay is around $100,000 - $150,000.

Engineering 52

Engineering Deep Learning Programming Language Software Engineer 52

Rock the JVM

OCTOBER 1, 2023

In this article we will cover gRPC which is a modern Open Source RPC framework designed by Google that uses Protocol Buffers for data serialization and HTTP/2 as a transport layer. At the time of writing this article, gRPC officially supports 11 programming languages which include Python, Java, Kotlin, and C++ to mention but a few.

Scala 61

Scala Metadata Transportation Java 61

Zalando Engineering

APRIL 3, 2019

In our case, it is the OpenAPI standard for synchronous REST interface specification and JSON Schema for asynchronous events. The best way to provide value is to create a well-designed, explicitly defined, discoverable, reusable, easy-to-understand interface which implements the demanded functionality.

Scala 40

Scala Software Engineer Software Engineering Java 40

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. Event-driven architecture. Event-driven, reactive architecture. Being event first.

Architecture 88

Architecture Programming Kafka Database-centric 88

Knowledge Hut

JANUARY 18, 2024

Using these high-tech tools, I can explore economic trends, figure out patterns, and predict future events. Hadoop relies on computer clusters and modules that have been designed with the assumption that hardware will inevitably fail, and the framework should automatically handle those failures.

Data Process 52

Data Process Process Hadoop Scala 52

AltexSoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. The building blocks of Apache Spark Apache Spark comprises a suite of libraries and tools designed for data analysis, machine learning , and graph processing on large-scale data sets. Graph processing.

Big Data 52

Big Data Data Process Process Hadoop 52

Data Engineering Podcast

JUNE 19, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. 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.

Metadata 130

Metadata MongoDB Scala MySQL 130

ProjectPro

NOVEMBER 14, 2015

At the bottom lies a library that is designed to treat failures at the Application layer itself, which results in highly reliable service on top of a distributed set of computers, each of which is capable of functioning as a local storage point. With this weblogs can be tracked based on events and browsing patterns and histories.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Snowflake

JUNE 28, 2023

Some of the notable updates include: Logging and tracing with Event Tables (PuPr) – Users ​​can instrument logs and traces from their UDFs, UDTFs, Stored Procedures, and Snowpark containers, and they are seamlessly routed to a secure, customer-owned Event Table.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Data Engineering Podcast

JULY 31, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. 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 Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Knowledge Hut

MAY 31, 2023

In order to keep up with the changing trends, if you want to master the latest CS tools and technologies in no time, enrol in the Web Design and Development course. It supports a wide range of programming languages, such as Java, C++, Python, and PHP. It supports Java, PHP, and C++. NetBeans NetBeans is another open-source IDE.

Computer Science 52

Computer Science Java Programming Language Python 52

Rockset

MARCH 27, 2023

Stream processing approximates something like a continuous query; each event that passes through the system is analyzed according to pre-defined criteria and can be consumed by other systems. These databases can ingest streaming events, index the data, and enable millisecond-latency analytical queries against that data.

Database 52

Database Process Scala SQL 52

Knowledge Hut

MAY 23, 2024

BigML: BigML is an online, cloud-based, event-driven tool that helps in data science and machine learning operations. Along with all these, Apache spark caters to different APIs that are Python, Java, R, and Scala programmers can leverage in their program. Even a non-technical user can understand this representation.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

ProjectPro

JULY 21, 2021

Like in most protocol methods, messages sent do not guarantee that they've been delivered and processed, so RabbitMQ adopts message delivery acknowledgment and implements smart broker design in its architecture. Producers push event streams to the brokers, and consumers pull the data from brokers.

Kafka 52

Kafka Big Data Java Architecture 52

Knowledge Hut

MAY 28, 2024

By designing a simple view for each state of your application, React efficiently updates and renders the appropriate components as your data changes. When your app requires open socket communication to support real-time events. React can also be rendered on the server using Node.js and run mobile apps using React Native.

Programming Language 52

Programming Language Database PostgreSQL MongoDB 52

Knowledge Hut

DECEMBER 26, 2023

A) Project for Data Visualization The ability to create appealing, simple-to-read visualizations is a programming and design challenge, but your analysis will be much more beneficial if you succeed. Python is simple and easy to read by design, making it simple to learn.

Data Science 92

Data Science Python Programming Language Portfolio 92

Rock the JVM

JANUARY 21, 2023

Giannis is a proud alumnus of Rock the JVM, working as a Solutions Architect with a focus on Event Streaming and Stream Processing Systems. Introduction Apache Kafka is a well-known event streaming platform used in many organizations worldwide. The producer will send some events to Kafka. EVENTS_TOPIC , event.

Kafka 65

Kafka Java Scala Coding 65

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. import org.apache.spark.streaming.*;

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

JANUARY 19, 2022

According to Dice Insights, data engineering was the top trending career in the technology industry in 2019, beating out computer scientists, web designers, and database architects. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 25, 2022

Multi-Language Support PySpark platform is compatible with various programming languages, including Scala, Java, Python, and R. batchSize- A single Java object (batchSize) represents the number of Python objects. RDDs are also fault-tolerant; thus, they will automatically recover in the event of a failure.

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. This scenario involves three main characters — publishers, subscribers, and a message or event broker. Kafka is designed to handle numerous clients from both sides. Kafka cluster and brokers.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93