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 Science 130

Data Science Data BI Kafka 130

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.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

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 Big Data 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

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 Medical 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 Medical 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 Big Data Cloud Computing 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 Database 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 Systems Data Engineering 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 Engineering 40

Data Engineering Data Engineer 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 Database 52

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