ProjectPro

JUNE 6, 2025

It even allows you to build a program that defines the data pipeline using open-source Beam SDKs (Software Development Kits) in any three programming languages: Java, Python, and Go. CMAK Source: Github CMAK stands for Cluster Manager for Apache Kafka , previously known as Kafka Manager, is a tool for managing Apache Kafka clusters.

Big Data

ProjectPro

JUNE 6, 2025

With the ability to handle streaming data ingestion rates of up to millions of events per second, Amazon Kinesis has become a popular choice for high-volume data processing applications. Ready to take your data streaming to the next level? For Kinesis Firehose, AWS charges based on the amount of data ingested.

Kafka

ProjectPro

JUNE 6, 2025

Source: N ifi.apache.org Apache NiFi is an open-source data integration tool designed to seamlessly and intuitively manage, automate, and distribute data flows. This powerful platform addresses the challenges of data ingestion, distribution, and transformation across diverse systems. What is NiFi vs Kafka?

Big Data

ProjectPro

JUNE 6, 2025

Data scientists can then leverage different Big Data tools to analyze the information. Data scientists and engineers typically use the ETL (Extract, Transform, and Load) tools for data ingestion and pipeline creation. It has built-in machine learning algorithms, SQL, and data streaming modules.

Big Data Tools

ProjectPro

JUNE 6, 2025

Responsibilities of a Data Engineer When you make a career transition from an ETL developer to a data engineer, your day-to-day responsibilities are likely to be a lot more than before. Organize and gather data from various sources following business needs. Python, HTML, CSS, Java, etc.,

Data Engineer

ProjectPro

JUNE 6, 2025

AWS Projects For Data Engineers Orchestrate Redshift ETL using AWS Glue and Step Functions Building Real-Time AWS Log Analytics Solution 2. Azure Projects For Data Engineers Learn Real-Time Data Ingestion with Azure Purview Analyse Yelp Dataset with Spark & Parquet Format on Azure Databricks 3. PREVIOUS NEXT <

Certification

ProjectPro

JUNE 6, 2025

You can use your AWS account to analyze Twitter sentiments in real time by leveraging Apache NiFi, Kafka, and Spark on AWS EC2. This project guides you through data ingestion, stream processing, sentiment classification, and live visualization using Python Plotly and Dash. Github link- Hybrid Recommendation System 29.

AWS

Snowflake

MARCH 2, 2023

To address this challenge, we are happy to announce the public preview of Snowpipe Streaming as the latest addition to our Snowflake ingestion offerings. As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. How does Snowpipe Streaming work?

Kafka

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning

Pinterest Engineering

NOVEMBER 7, 2023

Jeff Xiang | Software Engineer, Logging Platform Vahid Hashemian | Software Engineer, Logging Platform Jesus Zuniga | Software Engineer, Logging Platform At Pinterest, data is ingested and transported at petabyte scale every day, bringing inspiration for our users to create a life they love.

Kafka

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable.

Data Ingestion

Lyft Engineering

NOVEMBER 29, 2023

Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

Kafka

Rock the JVM

JANUARY 21, 2023

Introduction Apache Kafka is a well-known event streaming platform used in many organizations worldwide. It is used as the backbone of many data infrastructures, thus it’s important to understand how to use it efficiently. The code samples are written in Kotlin, but the implementation should be easy to port in Java or Scala.

Kafka

Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. Striim’s integration with Snowpipe Streaming represents a significant advancement in real-time data ingestion into Snowflake.

Data Ingestion

Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., What is Data Ingestion?

Data Ingestion

Cloudera

APRIL 20, 2021

The developers must understand lower-level languages like Java and Scala and be familiar with the streaming APIs. A modern streaming architecture consists of critical components that provide data ingestion, security and governance, and real-time analytics. What is modern streaming architecture?

Kafka

LinkedIn Engineering

OCTOBER 19, 2023

To enable the ingestion and real-time processing of enormous volumes of data, LinkedIn built a custom stream processing ecosystem largely with tools developed in-house (and subsequently open-sourced). In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure.

Process

Rockset

OCTOBER 11, 2022

In this blog, we’ll compare and contrast how Elasticsearch and Rockset handle data ingestion as well as provide practical techniques for using these systems for real-time analytics. Or, they can periodically scan their relational database to get access to the most up to date records and reindex the data in Elasticsearch.

Data Ingestion

Data Engineering Podcast

SEPTEMBER 11, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. 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 Pipeline

Data Engineering Podcast

AUGUST 21, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. 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.

Lambda Architecture

Cloudera

JUNE 16, 2022

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. Today, CSP is powered by Apache Flink and Kafka and provides a complete, enterprise-grade stream management and stateful processing solution. Who is affected?

Kafka

Data Engineering Podcast

SEPTEMBER 25, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. 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

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. This is not.

Data Engineer

Cloudera

FEBRUARY 9, 2021

If you are a database administrator or developer, you can start writing queries right-away using Apache Phoenix without having to wrangle Java code. . To store and access data in the operational database, you can do one of the following: Use native Apache HBase client APIs to interact with data in HBase: Use the HBase APIs for Java.

Database

Data Engineering Podcast

AUGUST 6, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. 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

Cloudera

JANUARY 11, 2021

MiNiFi comes in two versions: C++ and Java. The MiNiFi Java option is a lightweight single node instance, a headless version of NiFi without the user interface nor the clustering capabilities. Still, it requires Java to be available on the host. Still, it requires Java to be available on the host.

Kafka

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. The use case. The streaming SQL job also saves the fraud detections to the Kudu database.

Process

Confluent

FEBRUARY 21, 2019

HELK is a free threat hunting platform built on various components including the Elastic stack, Apache Kafka ® and Apache Spark. WHERE PARENT_PROCESS_PATH LIKE '%WmiPrvSE.exe%'; The results of the KSQL query can be written to a Kafka topic, which in turn can drive real-time monitoring or alerting dashboards and applications.

Process

Snowflake

MARCH 30, 2023

3EJHjvm Once a business need is defined and a minimal viable product ( MVP ) is scoped, the data management phase begins with: Data ingestion: Data is acquired, cleansed, and curated before it is transformed. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

Engineering

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? Kafka Stream vs. Spark Streaming What is Spark streaming? Table of Contents What is Spark streaming?

Architecture

Striim

JULY 31, 2024

Why Striim Stands Out As detailed in the GigaOm Radar Report, Striim’s unified data integration and streaming service platform excels due to its distributed, in-memory architecture that extensively utilizes SQL for essential operations such as transforming, filtering, enriching, and aggregating data.

Aggregated Data

Snowflake

AUGUST 16, 2023

That’s why we built Snowpipe Streaming, now generally available to handle row-set data ingestion. The new Kafka connector, built with Snowpipe Streaming , now supports schema detection and evolution. Snowpipe streaming supports both database replication and group-based replication. Learn more here.

Transportation

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineer

ProjectPro

JANUARY 25, 2022

Features of PySpark Features that contribute to PySpark's immense popularity in the industry- Real-Time Computations PySpark emphasizes in-memory processing, which allows it to perform real-time computations on huge volumes of data. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency.

Big Data

Knowledge Hut

NOVEMBER 2, 2023

Top 10 Azure Data Engineering Project Ideas for Beginners For beginners looking to gain practical experience in Azure Data Engineering, here are 10 Azure Data engineer real time projects ideas that cover various aspects of data processing, storage, analysis, and visualization using Azure services: 1.

Data Engineer

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Let’s see what exactly Databricks has to offer.

Scala

Knowledge Hut

APRIL 25, 2023

Here are some essential skills for data engineers when working with data engineering tools. 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