ProjectPro

JUNE 6, 2025

Big data tools are ideal for various use cases, such as ETL , data visualization , machine learning , cloud computing , etc. Source Code: Build a Similar Image Finder Top 3 Open Source Big Data Tools This section consists of three leading open-source big data tools- Apache Spark , Apache Hadoop, and Apache Kafka.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Amazon Kinesis is a managed, scalable, cloud-based service offered by Amazon Web Services (AWS) that enables real-time processing of streaming big data per second. It is built to simplify developing and managing Flink applications and supports popular programming languages like Java, Scala, Python, and SQL.

Kafka 40

Kafka AWS Amazon Web Services Data Ingestion 40

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 88

Kafka Manufacturing Data Lake SQL 88

Knowledge Hut

JUNE 26, 2023

Stock and Twitter Data Extraction Using Python, Kafka, and Spark Project Overview: The rising and falling of GameStop's stock price and the proliferation of cryptocurrency exchanges have made stocks a topic of widespread attention. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Cloudera

NOVEMBER 2, 2020

Cloudera offers a platform, Cloudera Data Platform (CDP), for building end-to-end data applications in both the public and private cloud. Deep Dive into Time Series and Event Analytics Specialized RTDW , featuring Apache Druid, Apache Hive, Apache Kafka, and Cloudera DataViz. Building an RTDW with Cloudera.

Kafka 97

Kafka Data Warehouse Lambda Architecture Telecommunication 97

Christophe Blefari

JANUARY 7, 2023

Introducing ADBC: Database Access for Apache Arrow — When I see "minimal-overhead alternative to JDBC/ODBC for analytical applications" I'm instantly in. They had obviously been challenged by the cloud vendors and the modern data stack vision that does not include them.

Data 130

Data Data Science BI Kafka 130

ProjectPro

JUNE 6, 2025

Types of AWS Databases AWS provides various database services, such as Relational Databases Non-Relational or NoSQL Databases Other Cloud Databases ( In-memory and Graph Databases). Relational Databases Relational databases form the backbone of modern data storage and management systems, powering various applications across industries.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

The open-source KNIME Analytics Platform allows anyone to analyze data and develop data science workflows and reusable elements. The KNIME Server is a commercial platform that allows you to automate, manage, and deploy data science workflows as analytical applications and services.

Data Science 40

Data Science Hadoop Unstructured Data Machine Learning 40

Rockset

JUNE 21, 2022

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications. Rockset’s cloud-native ALT architecture is fully disaggregated and scales each component independently as needed.

Kafka 52

Kafka Data Warehouse BI Analytics Application 52

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. The broad adoption of Apache Kafka has helped make these event streams more accessible. Flink, Kafka and MySQL. Both offer SQL support and are capable of ingesting streaming data from Kafka.

Kafka 52

Kafka MySQL Aggregated Data Data Warehouse 52

Rockset

MAY 3, 2023

In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. Streaming data is on the rise with over 80% of Fortune 100 companies using Apache Kafka. Why measure streaming data ingestion?

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

ProjectPro

AUGUST 9, 2016

Cognizant’s BIGFrame solution uses Hadoop to simplify migration of data and analytics applications to provide mainframe like performance at an economical cost of ownership over data warehouses.

Hadoop 52

Hadoop Insurance Cloud Computing Kafka 52

Edureka

AUGUST 23, 2024

The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. This blog will explore the AWS Amazon Kinesis and how this managed platform can revamp data analytics. As of 2024, about 73% of enterprises have deployed a hybrid cloud.

AWS 52

AWS Kafka Amazon Web Services Data Ingestion 52

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Kafka or Kinesis ? A few noteworthy points: Self-managed Kafka can be deployed on-premises or in the cloud.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Rockset

MARCH 10, 2022

To deliver real-time analytics, companies need a modern technology infrastructure that includes these three things: A real-time data source such as web clickstreams, IoT events produced by sensors, etc. A platform such as Apache Kafka/Confluent , Spark or Amazon Kinesis for publishing that stream of event data.

Data Analytics 52

Data Analytics Data Warehouse MySQL Kafka 52

ProjectPro

SEPTEMBER 9, 2016

Based on the maturity with big data, HCL helps its clients identify use cases to experiment with big data, create data lakes and deploy hadoop data management platforms to develop analytic applications.

Hadoop 40

Hadoop Data Lake Cloud Computing Kafka 40

Rockset

DECEMBER 9, 2021

Lifting-and-shifting their big data environment into the cloud only made things more complex. The modern data stack introduced a set of cloud-native data solutions such as Fivetran for data ingestion, Snowflake, Redshift or BigQuery for data warehousing , and Looker or Mode for data visualization. The problem?

Transportation 52

Transportation BI SQL Data Warehouse 52

Rockset

MARCH 15, 2021

The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e., and your solution will only be able to provide valuable real-time analytics if you are able to meet them. Indexing Efficiency Indexing data is another crucial requirement for real-time analytics applications.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Towards Data Science

APRIL 3, 2023

From Enormous Data back to Big Data Say you are tasked with building an analytics application that must process around 1 billion events (1,000,000,000) a day. While this might feel far-fetched at first, due to the sheer size of the data, it often helps to step back and think about the intention of the application (what does it do?)

Process 98

Process Data Lake Bytes Systems 98

Knowledge Hut

MAY 31, 2023

Custom analytics applications for IoT data, including machine learning and predictive analytics. SiteWhere SiteWhere is a multi-tenant, open-source platform that enables the creation, deployment, and maintenance of industrial-level IoT applications. Kinoma Marvell Technology, Inc., Zetta Zetta is a Node.js-based

Programming Language 52

Programming Language Electronics Java Programming 52

Rockset

DECEMBER 9, 2019

It continuously ingests raw data from multiple sources--data lakes, data streams, databases--into its storage layer and allows fast SQL access from both visualisation tools and analytic applications. Kafka connectors are available within Rockset to consume streams from Kafka in real time.

Data Engineer 40

Data Engineer Data Engineering Engineering Raw Data 40

Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. With helpful illustrations and thorough explanations, it assists readers in comprehending how to use Spark for big data processing and analytics applications.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Monte Carlo

MAY 14, 2024

It was designed to support high-volume data exchange and compatibility across different system versions, which is essential for streaming architectures such as Apache Kafka. Snowflake Dynamic Tables : Introduced by Snowflake in 2023, Dynamic Tables bring flexibility and real-time processing capabilities to the cloud data platform.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Rockset

APRIL 15, 2022

So why are their analytics still crawling through in batches instead of real time? It’s probably because their analytics database lacks the features necessary to deliver data-driven decisions accurately in real time. Many (Kafka, Spark and Flink) were open source. This has some benefits.

Analytics Application 52

Analytics Application Data Warehouse Kafka Raw Data 52

ProjectPro

JUNE 6, 2025

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on structured and unstructured data for several purposes, including predictive modeling and other advanced analytics applications. Topic Modeling The future is AI!

Big Data 40

Big Data Coding Project Hadoop 40

ProjectPro

JUNE 6, 2025

Problem Statement In this Hadoop project, you can analyze bitcoin data and implement a data pipeline through Amazon Web Services ( AWS ) Cloud. Log Analysis System Business Use Case: A log analysis system using Hadoop is a powerful tool that can help organizations gain insights into their system and application logs.

Hadoop 40

Hadoop Project Big Data Media 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Big Data Project using Hadoop with Source Code for Web Server Log Processing 5.

Big Data 52

Big Data Coding Project Hadoop 52