databricks

JULY 23, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! Zerobus provides a simple solution for these cases.

Data Ingestion

ProjectPro

JUNE 6, 2025

Kafka Topics are your trusty companions. Learn how Kafka Topics simplify the complex world of big data processing in this comprehensive blog. More than 80% of all Fortune 100 companies trust, and use Kafka. Apache Kafka The meteoric rise of Apache Kafka's popularity is no accident, as it plays a crucial role in data engineering.

Kafka

Data Engineering Weekly

FEBRUARY 18, 2025

It addresses many of Kafka's challenges in analytical infrastructure. The combination of Kafka and Flink is not a perfect fit for real-time analytics; the integration of Kafka and Lakehouse is very shallow. How do you compare Fluss with Apache Kafka? Fluss and Kafka differ fundamentally in design principles.

Kafka

ProjectPro

JUNE 6, 2025

Explore the full potential of AWS Kafka with this ultimate guide. Elevate your data processing skills with Amazon Managed Streaming for Apache Kafka, making real-time data streaming a breeze. According to IDC , the worldwide streaming market for event-streaming software, such as Kafka, is likely to reach $5.3

Kafka

ProjectPro

JUNE 6, 2025

Data ingestion systems such as Kafka , for example, offer a seamless and quick data ingestion process while also allowing data engineers to locate appropriate data sources, analyze them, and ingest data for further processing. It can also access structured and unstructured data from various sources.

Data Engineer

ProjectPro

JUNE 6, 2025

Today, Kafka is used by thousands of companies, including over 80% of the Fortune 100. Kafka's popularity is skyrocketing, and for good reason—it helps organizations manage real-time data streams and build scalable data architectures. As a result, there's a growing demand for highly skilled professionals in Kafka.

Kafka

ProjectPro

JUNE 6, 2025

If you’re looking for everything a beginner needs to know about using Apache Kafka for real-time data streaming, you’ve come to the right place. This blog post explores the basics about Apache Kafka and its uses, the benefits of utilizing real-time data streaming, and how to set up your data pipeline. Let's dive in.

Kafka

Striim

JULY 15, 2025

Built by the original creators of Apache Kafka, Confluent provides a data streaming platform designed to help businesses harness the continuous flow of information from their applications, websites, and systems. The primary appeal of Confluent lies in its promise to tame the complexity of Apache Kafka. Ready to see Striim in action?

Kafka

Netflix Tech

JULY 15, 2025

What began with an engineering plan to pave the path towards our first Live comedy special, Chris Rock: Selective Outrage , has since led to hundreds of Live events ranging from the biggest comedy shows and NFL Christmas Games to record-breaking boxing fights and becoming the home of WWE.

Entertainment

ProjectPro

JUNE 6, 2025

Data pipelines are crucial in managing the information lifecycle, ensuring its quality, reliability, and accessibility. Check out the following insightful post by Leon Jose , a professional data analyst, shedding light on the pivotal role of data pipelines in ensuring data quality, accessibility, and cost savings for businesses.

Data Pipeline

ProjectPro

JUNE 6, 2025

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Types of Data Ingestion 1. When this processing takes place is decided based on an interval such as a specific time every day or intervals of the day such as 12-hour intervals or based on a given condition via event trigger functions.

Data Ingestion

Data Engineering Weekly

JUNE 22, 2025

Get the full guide Uber: The Evolution of Uber’s Search Platform Uber writes about the evolution of its search infrastructure from Elasticsearch to the in-house Sia engine, which was built to support NRT semantics, gRPC/Protobuf, Kafka-based ingestion, and active-active deployment. and its upcoming cloud-native variant.

Data Engineering

Edureka

APRIL 22, 2025

Enter Amazon EventBridge, a fully managed serverless event bus service that makes it easier to build event-driven applications using data from your AWS services, custom applications, or SaaS providers. It is a fully managed, serverless event bus service that allows applications to communicate with each other using events.

AWS

Netflix Tech

FEBRUARY 14, 2025

Collecting Raw Impression Events As Netflix members explore our platform, their interactions with the user interface spark a vast array of raw events. These events are promptly relayed from the client side to our servers, entering a centralized event processing queue.

Kafka

Data Engineering Weekly

AUGUST 3, 2025

Dagster Running Dagster: Event Driven Pipelines At Dagster, we process millions of events a day from Dagster+. This event data is used for tracking credit usage, powers tools like Insights, and provides a peek into how organizations are using our platform. Access the guide now.

Data Engineering

Data Engineering Weekly

JULY 20, 2025

Access the guide now. The system addresses the significant bottlenecks that financial analysts faced with traditional data access methods, such as manually searching multiple platforms, writing complex SQL queries, or submitting lengthy data requests, which caused delays in decision-making.

Data Engineering

ProjectPro

JUNE 6, 2025

A lack of access to real-time information will result in billions of dollars in lost revenue. 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?

Architecture

ProjectPro

JUNE 6, 2025

These collectors send the data to a central location, typically a message broker like Kafka. You can use data loading tools like Sqoop or Flume to transfer the data from Kafka to HDFS. Event Processing And Analytics Layer This layer focuses on performing real-time analytics and deriving insights from the processed data.

Data Ingestion

ProjectPro

JUNE 6, 2025

This data warehouse is accessible to data analysts and scientists and helps them perform data science tasks like data visualization , statistical analysis, machine learning model creation, etc. An ETL pipeline can help with the following tasks- Centralizes and standardizes data, making it more accessible to analysts and decision-makers.

Project

Edureka

APRIL 22, 2025

Infrastructure provisioning and management are not necessary because everything is accessible through a single portal. The storage is Delta Lake format standardized, and it supports Direct Lake access in Power BI (which is about real-time performance) so that all workloads can read/write natively to the lake.

BI

ProjectPro

JUNE 6, 2025

PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization The PySpark Architecture The PySpark architecture consists of various parts such as Spark Conf, RDDs, Spark Context, Dataframes , etc.

Big Data

ProjectPro

JUNE 6, 2025

When any particular project is open-sourced, it makes the source code accessible to anyone. Support for stream and batch processing, comprehensive state management, event-time processing semantics, and consistency guarantee for the state are just a few of Flink's capabilities.

Big Data

ProjectPro

JUNE 6, 2025

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 2. It makes data more accessible. They only have dimensional keys, and they capture events that occur only at the information level, not at the computation level (just information about an event that happens over a period).

Data Warehouse

ProjectPro

JUNE 6, 2025

It can also be made accessible as an API and distributed to stakeholders. The big data pipeline must process data in large volumes concurrently because, in reality, multiple big data events are likely to occur at once or relatively close together. The transformed data is then placed into the destination data warehouse or data lake.

Data Pipeline

ProjectPro

JUNE 6, 2025

There will be no network latency concerns because the computer is part of the cluster, and the cluster's maintenance is already taken care of, so there is no need to be concerned in the event of a failure. In the event that the RDDs are too large to fit in memory, the partitions are not cached and must be recomputed as needed.

Hadoop

Monte Carlo

NOVEMBER 21, 2024

Over the next few years, the team assembled a streamlined data stack, including Kafka, AWS Kinesis for streaming, Databricks for Spark processing, Tableau for reporting, Amplitude for product analytics, MLFlow for machine learning, Unity Catalog for discoverability and access control, and Monte Carlo for data observability.

Government

Monte Carlo

NOVEMBER 21, 2024

Over the next few years, the team assembled a streamlined data stack, including Kafka, AWS Kinesis for streaming, Databricks for Spark processing, Tableau for reporting, Amplitude for product analytics, MLFlow for machine learning, Unity Catalog for discoverability and access control, and Monte Carlo for data observability.

Government

ProjectPro

JUNE 6, 2025

Better Business Capabilities: Cloud data warehousing offers better business capabilities such as disaster recovery, scalability, flexibility, security, and accessibility. It also helps with historical data analysis and knowledge of what and when events occurred. What are the characteristics of a data warehouse? What is Datamart?

Data Warehouse

ProjectPro

JUNE 6, 2025

Key Features of RapidMiner: RapidMiner integrates with your current systems, is easily scalable to meet any demand, can be deployed anywhere, encrypts your data, and gives you complete control over who may access projects. Many developers have access to it due to its integration with Python IDEs like PyCharm.

Big Data Tools

ProjectPro

JUNE 6, 2025

Use Power BI to create visual dashboards showcasing top-performing players, team strengths, and key match events. Use Kafka for real-time data ingestion, preprocess with Apache Spark, and store data in Snowflake. This architecture shows that simulated sensor data is ingested from MQTT to Kafka. venues or weather).

Data Engineer

ProjectPro

JUNE 6, 2025

Security and Data Privacy Big Data Developers work closely with data protection officers to implement robust security measures, encryption, and access controls to safeguard data. Apache Kafka: Kafka is a distributed event streaming platform. These tools are the backbone of Big Data processing and analytics.

Big Data

Monte Carlo

AUGUST 1, 2025

Real-time AI applications need instantaneous data access, yet most pipelines were built for overnight batch processing. A recommendation engine processing user interactions might need to handle sudden traffic spikes during sales events. Balancing accessibility with security creates constant tension.

Data Management

ProjectPro

JUNE 6, 2025

Learn to Create Delta Live Tables in Azure Databricks Databricks Real-Time Streaming with Event Hubs and Snowflake 3. The platform prioritizes security, offering features such as data encryption, identity and access management, and compliance certifications.

ETL Tools

ProjectPro

JUNE 6, 2025

NiFi provides a web-based user interface for designing data flows, making it user-friendly and accessible for developers and non-developers. Critical health information, such as abnormal vital signs or emergency events, is prioritized for real-time data analysis and immediate attention. What is Apache NiFi Used For?

Big Data

ProjectPro

JUNE 6, 2025

This refinement encompasses tasks like data cleaning , integration, and optimizing storage efficiency, all essential for making data easily accessible and dependable. This article will explore the top seven data warehousing tools that simplify the complexities of data storage, making it more efficient and accessible.

Data Storage

ProjectPro

JUNE 6, 2025

In the event of a failure, Aurora automatically fails over to a standby instance without data loss. Developer Productivity: Amazon Redshift offers simplified data access and integration from various programming languages and platforms. Developers can access data without complex configurations, ensuring increased productivity.

AWS

ProjectPro

JUNE 6, 2025

The importance of such a pipeline lies in its ability to handle massive volumes of data — Netflix processes around 500 billion events and 1.3 For instance, during peak hours, Netflix handles around 8 million events and 24 GB per second. PB per day — and its capability to provide near-real-time insights.

Data Science