Rockset

FEBRUARY 18, 2021

times faster than Druid in the latest performance blog post. Real-time analytics is all about deriving insights and taking actions as soon as data is produced. When broken down into its core requirements, real-time analytics means two things: access to fresh data and fast responses to queries. Learn how Rockset is 1.67

Analytics Application 52

Analytics Application SQL Database Structured Data 52

Rockset

MAY 17, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! The truth is that modern cloud native SQL databases support all of the key features necessary for real-time analytics , including: Mutable data for incredibly fast data ingestion and smooth handling of late-arriving events.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Workfall

JUNE 27, 2023

In this blog, we’ll explore how to harness the power of Kafka to streamline event streaming within a microservices architecture and unlock its full potential for building scalable and responsive systems. In the event of server failure, Kafka can autonomously restart itself, ensuring uninterrupted data flow. Let’s get started!

Kafka 75

Kafka Architecture AWS Transportation 75

Cloudera

FEBRUARY 9, 2021

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights. Low Maintenance.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka. To accomplish this we can use Kafka streams and KSQL.

Kafka 40

Kafka Database Process SQL 40

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Architecture 52

Architecture Database-centric Process BI 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. Typically, the “units” of data being streamed are considered events, which resemble a record in a database, with some key differences.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Cloudera

AUGUST 13, 2021

The business is so unprepared with information overflow that missing an important event or insight has become the business norm. The application license and infrastructure costs are rising faster than the ability to detect cyber events effectively. What product can help collect events only?

Data Pipeline 108

Data Pipeline Data Lake ETL Tools Unstructured Data 108

Cloudera

NOVEMBER 2, 2020

Ingest 100s of TB of network event data per day . The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. 200,000 queries per day.

Data Warehouse 93

Data Warehouse Kafka Lambda Architecture Telecommunication 93

Rockset

MAY 3, 2023

In this blog, we’ll walk through the benchmark framework, configuration and results. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams. Rockset achieved up to 4x higher throughput and 2.5x

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

AltexSoft

OCTOBER 21, 2022

This scenario involves three main characters — publishers, subscribers, and a message or event broker. A publisher (say, telematics or Internet of Medical Things system) produces data units, also called events or messages , and directs them not to consumers but to a middleware platform — a broker. Kafka cluster and brokers.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Cloudera

NOVEMBER 8, 2022

It enables cloud-native applications to store and process mass amounts of data in a hybrid multi-cloud environment and on premises. These could be traditional analytics applications like Spark, Impala, or Hive, or custom applications that access a cloud object store natively. Conclusion.

Metadata 82

Metadata Algorithm Hadoop Cloud 82

Rockset

FEBRUARY 25, 2021

Joins are often used in real-time analytics applications to combine streaming data (usually representing events) with static data (like customer information). Other blogs in this Elasticsearch or Rockset for Real-Time Analytics series: Part 1: Managing Clusters vs Going Serverless Part 2: How Much Query Flexibility Do You Have?

SQL 40

SQL Data Pipeline Kafka Database 40

Cloudera

APRIL 2, 2019

When in memory mode, the data is not saved in the event of a power loss. In app direct mode, the application can utilize DRAM for operations that require low latency without persistency and leave Intel Optane DC persistent memory to handle large data structures at memory bus speeds without volatility.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

Cloudera

MAY 16, 2018

This approach also relates to monitoring internal fiduciary risk by tying separate events together, such as a large position (relative to historic norms) being taken immediately after the risk model that would have flagged it was modified in a separate system. The post Cross-Functional Trade Surveillance appeared first on Cloudera Blog.

Data Lake 42

Data Lake Electronics Media Unstructured Data 42

ProjectPro

MAY 23, 2015

For example, an application can be written to subscribe to the Twitter firehose of every tweet written; such an application can analyse the tweets to determine Twitter's most influential users, or identify suddenly prominent events as they occur.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

JUNE 16, 2022

This blog aims to answer two questions as illustrated in the diagram below: How have stream processing requirements and use cases evolved as more organizations shift to “streaming first” architectures and attempt to build streaming analytics pipelines? Meet Laila, a very opinionated practitioner of Cloudera Stream Processing.

Kafka 85

Kafka Manufacturing Data Lake SQL 85

Rockset

APRIL 15, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! 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.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Build a Scalable Event-Based GCP Data Pipeline using DataFlow Suppose you are running an eCommerce website, and a customer places an order.

Big Data 52

Big Data Coding Project Hadoop 52