Pinterest Engineering

OCTOBER 17, 2023

Charles Wu | Software Engineer; Isabel Tallam | Software Engineer; Kapil Bajaj | Engineering Manager Overview In this blog, we present a pragmatic way of integrating analytics, written in Python, with our distributed anomaly detection platform, written in Java. Background Warden is the distributed anomaly detection platform at Pinterest.

Algorithm 110

Algorithm Java Python Software Engineer 110

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

Big Data 52

Big Data Data Process Process Hadoop 52

Confluent

FEBRUARY 6, 2019

In addition to Python support, there is typically support for other programming languages, including JavaScript for web integration and Java for platform integration—though oftentimes with fewer features and less maturity. The Java developer imports it in Java for production deployment.

Machine Learning 107

Machine Learning Python Kafka Java 107

ProjectPro

MAY 11, 2015

For most professionals who are from various backgrounds like - Java, PHP,net, mainframes, data warehousing, DBAs, data analytics - and want to get into a career in Hadoop and Big Data, this is the first question they ask themselves and their peers. Your search for the question “How much Java is required for Hadoop?”

Java 40

Java Hadoop Programming Language Bytes 40

Knowledge Hut

MAY 3, 2024

Spark Streaming Kafka Streams 1 Data received from live input data streams is Divided into Micro-batched for processing. processes per data stream(real real-time) 2 A separate processing Cluster is required No separate processing cluster is required. Kafka keeps data in Topics, or in a memory buffer.

Kafka 98

Kafka Scala Java Amazon Web Services 98

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.

Certification 98

Certification Programming MongoDB R (Programming) 98

ProjectPro

JANUARY 25, 2022

PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. Multi-Language Support PySpark platform is compatible with various programming languages, including Scala, Java, Python, and R. Because of its interoperability, it is the best framework for processing large datasets.

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

MAY 2, 2024

Most cutting-edge technology organizations like Netflix, Apple, Facebook, and Uber have massive Spark clusters for data processing and analytics. MapReduce is written in Java and the APIs are a bit complex to code for new programmers, so there is a steep learning curve involved.

Hadoop 96

Hadoop Scala Datasets Java 96

Data Engineering Podcast

JULY 23, 2023

Summary Real-time data processing has steadily been gaining adoption due to advances in the accessibility of the technologies involved. To bring streaming data in reach of application engineers Matteo Pelati helped to create Dozer. To bring streaming data in reach of application engineers Matteo Pelati helped to create Dozer.

Building 130

Building Machine Learning SQL Python 130

Monte Carlo

OCTOBER 31, 2024

In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Cloudera

AUGUST 2, 2021

Since all the flows were simple event processing, the NiFi flows were built out in a matter of hours (drag-and-drop) instead of months (coding in Java). . Because, they’ll be able to store massive amounts of data, process this data in real-time or batch, and serve the data to other applications.

Kafka 119

Kafka Java Coding Process 119

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Happy Learning!!!

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Christophe Blefari

OCTOBER 9, 2023

In the last years Spark has been powering a lot of data use cases but with the modern data stack and more recently with DuckDB, Polars and smaller size OLAP technologies it allows a new way to do data processing. This is a must-read and a good showcase of what you can do. Kestra raises $3m Seed funding.

Python 130

Python Data Database Java 130

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. The release of Apache Beam in 2016 proved to be a game-changer for LinkedIn.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Christophe Blefari

SEPTEMBER 15, 2023

💡 Additional big tech stuff to check: real-time ML training at Etsy and last mile data processing with Ray at Pinterest. Scrape & analyse football data — Benoit nicely put in perspective how to use Kestra, Malloy and DuckDB to analyse data. A bittersweet feeling.

Data Warehouse 130

Data Warehouse Data SQL Python 130

Confluent

OCTOBER 1, 2024

Discover the Flink Table API, which helps developers express complex data processing in Java or Python. Get practical examples and guidance for your workflows.

Java 65

Java Python Data Process Process 65

Netflix Tech

OCTOBER 19, 2020

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment.

Building 95

Building Transportation Java Metadata 95

Cloudera

MAY 18, 2021

Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

SQL 99

SQL Java Data Business Analyst 99

Data Engineering Podcast

AUGUST 18, 2021

Your host is Tobias Macey and today I’m interviewing Shevek about Compilerworks and his work on writing compilers to automate data lineage tracking from your SQL code Interview Introduction How did you get involved in the area of data management? How are you applying compilers to the challenges of data processing systems?

SQL 100

SQL Programming Language Java Metadata 100

Data Engineering Podcast

JULY 27, 2020

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break.

Systems 100

Systems Building Scala Java 100

Netflix Tech

MARCH 10, 2023

Event processing can also be stopped at any time by disabling the consumers in case production flow gets any impact with this parallel data processing. For fast processing of the events, we use different settings of Kafka consumer and Java executor thread pool.

Management 97

Management Kafka Metadata Media 97

Data Engineering Podcast

APRIL 24, 2022

In this episode Andy Dang explains why the project was created, how you can apply it to your existing data systems, and how it functions to provide detailed context for being able to gain insight into all of your data processes. How do you maintain feature parity between the Python and Java integrations?

Machine Learning 100

Machine Learning Systems Data Lake Java 100

Knowledge Hut

APRIL 25, 2024

Big data is a term that refers to the massive volume of data that organizations generate every day. In the past, this data was too large and complex for traditional data processing tools to handle. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Confluent

SEPTEMBER 26, 2019

Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js ® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog).

Kafka 21

Kafka SQL BI Hadoop 21

Snowflake

SEPTEMBER 7, 2023

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. Now users with USAGE privilege on the CHATGPT function can call this UDF.

Amazon Web Services 130

Amazon Web Services AWS Government Python 130

Snowflake

NOVEMBER 29, 2023

Figure 2: Questions answered by precision medicine Snowflake and FAIR in the world of precision medicine and biomedical research Cloud-based big data technologies are not new for large-scale data processing. A conceptual architecture illustrating this is shown in Figure 3.

Metadata 97

Metadata Healthcare Medical Data Storage 97

Christophe Blefari

JANUARY 20, 2024

The Rise of the Data Engineer The Downfall of the Data Engineer Functional Data Engineering — a modern paradigm for batch data processing There is a global consensus stating that you need to master a programming language (Python or Java based) and SQL in order to be self-sufficient.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Knowledge Hut

JUNE 3, 2024

First, let's talk about the skill set required to become a good data scientist. A data scientist works with quantum computing. Therefore, the most important thing to know is programming languages like Java, Python, R, SAS, SQL, etc. Additionally, a data scientist understands Big Data frameworks like Pig, Spark, and Hadoop.

Programming Language 96

Programming Language Data Science Entertainment Banking 96

Knowledge Hut

JANUARY 18, 2024

Because it is statically typed and object-oriented, Scala has often been considered a hybrid language used for data science between object-oriented languages like Java and functional ones like Haskell or Lisp. As a result, Java is the best coding language for data science. How Is Programming Used in Data Science?

Programming Language 75

Programming Language Data Science Programming Java 75

Ascend.io

SEPTEMBER 5, 2023

In this article, we’ll explore what Snowflake Snowpark is, the unique functionalities it brings to the table, why it is a game-changer for developers, and how to leverage its capabilities for more streamlined and efficient data processing. What Is Snowflake Snowpark?

IT 59

IT Scala Java Programming Language 59

Cloudera

JULY 18, 2022

In this blog we will explore how we can use Apache Flink to get insights from data at a lightning-fast speed, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). Flink is a “streaming first” modern distributed system for data processing.

Process 91

Process Kafka Scala SQL 91

Towards Data Science

DECEMBER 24, 2023

0 — Quick Review Quickly, let’s review what spark does… Spark is a big data processing engine. It takes python/java/scala/R/SQL and converts that code into a highly optimized set of transformations. At it’s lowest level, spark creates tasks, which are parallelizable transformations on data partitions. Let’s dive in!

Scala 98

Scala SQL Java Python 98

AltexSoft

OCTOBER 30, 2021

But with the start of the 21st century, when data started to become big and create vast opportunities for business discoveries, statisticians were rightfully renamed into data scientists. Data scientists today are business-oriented analysts who know how to shape data into answers, often building complex machine learning models.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

ProjectPro

JANUARY 20, 2016

How much Java is required to learn Hadoop? “I want to work with big data and hadoop. If you want to work with big data , then learning Hadoop is a must - as it is becoming the de facto standard for big data processing. Table of Contents Can students or professionals without Java knowledge learn Hadoop?

Hadoop 52

Hadoop SQL Java Big Data 52

Knowledge Hut

MAY 2, 2024

It provides high-level APIs in Java, Scala, Python, and R and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

Hadoop 52

Hadoop Java Scala Programming Language 52

Confluent

JUNE 18, 2019

If you are using a Linux package such as DEB or RPM, this is usually in the /usr/share/java/kafka-connect-jdbc directory. If you’re installing from an archive, this will be in the share/java/kafka-connect-jdbc directory in your installation. Pere Urbón-Bayes is a technology architect for Confluent based out of Berlin, Germany.

Architecture 97

Architecture Building Kafka Database-centric 97