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. First, an obligatory aside on real-time analytics.

Kafka 40

Kafka Database Process SQL 40

Rockset

MARCH 10, 2022

This is the first post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Event streaming/stream processing has been around for almost a decade.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. 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 design goal was low latency and scale.

SQL 52

SQL NoSQL Hadoop MongoDB 52

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

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! There were heavy tradeoffs, though.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Knowledge Hut

JULY 26, 2023

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications? Columnar Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Striim

NOVEMBER 8, 2023

A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time.

Architecture 52

Architecture Generalist Government Datasets 52

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. Design Detail.

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Data Warehouse Cloud Kafka Cloud Storage 69

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI. This is where the processes are filtered and analyzed.

Architecture 52

Architecture Database-centric Process BI 52

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. Did you know SQL is the top skill listed in 73.4% of data engineer job postings on Indeed?

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

FEBRUARY 11, 2021

Having that designation means you can build end-to-end machine learning solutions , which is a highly marketable skill set considering the fact that it has been the fastest-growing job title in the world since 2019. But what does it actually take to achieve the designation of a machine learning engineer?

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

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. We want to always have unified data which is broadcasted to all the client applications simultaneously without any latency.

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Kafka Architecture AWS Transportation 75

Cloudera

FEBRUARY 8, 2024

Overview This blog post describes support for materialized views for the Iceberg table format. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.

Metadata 88

Metadata Data Warehouse BI AWS 88

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. Stream processing or an OLAP database? Kafka or Kinesis ? Open source or fully managed? You can also format Avro messages in JSON.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Cloudera

SEPTEMBER 15, 2022

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. Please refer to our earlier Cloudera blog for more details about Ozone’s performance benefits and atomicity guarantees.

Systems 86

Systems Hadoop Metadata Telecommunication 86

Rockset

MARCH 15, 2021

This will avoid unnecessary processing during data ingestion and reduce the storage bloat due to redundant data. 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.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

phData: Data Engineering

MAY 11, 2023

In the latest previews of Matillion Designer, we can see that source control is seamlessly incorporated. The next-generation Matillion Designer SaaS offering balances accessibility with a very minor learning curve on Git. The hallmarks of this method are modular design and effective organization skills. Errors always arise.

Coding 52

Coding Software Engineer Software Engineering Government 52

AltexSoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Rockset

MAY 3, 2023

Throughput measures the rate at which data is processed, impacting the database's ability to efficiently support high-velocity data streams. In this blog, we’ll walk through the benchmark framework, configuration and results. We found that Rockset beat Elasticsearch on both throughput and end-to-end latency at the 99th percentile.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

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 80

Metadata Algorithm Hadoop Cloud 80

Cloudera

APRIL 2, 2019

Available to customers running 2nd Generation Intel® Xeon® Scalable processors, Intel Optane DC persistent memory can significantly enhance the performance of real-time and streaming applications. Intel Optane DC persistent memory was designed with ease of adoption in mind and therefore can be configured in two different operating modes : 1.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

Cloudera

NOVEMBER 9, 2018

Since most connected devices are not designed with security in mind and due to the fact that there is a lack of comprehensive IoT security standards today, the surge of connected devices means that there are more entry points for hackers. Drive real-time processing and analytics to IoT data – both in motion and at rest.

Machine Learning 56

Machine Learning Banking Government Media 56

ProjectPro

SEPTEMBER 6, 2021

AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. Table of Contents AWS vs. GCP - The Cloud Battle AWS vs. Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

MAY 23, 2015

The predictive analytics platform of Inkiru incorporates machine learning technologies to automatically enhance the accuracy of algorithms and can integrate with diverse external and internal data sources. The big data ecosystem at Walmart processes multiple Terabytes of new data and petabytes of historical data every day.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Cloudera

OCTOBER 12, 2020

We are thrilled to announce that Cloudera has acquired Eventador , a provider of cloud-native services for enterprise-grade stream processing. Eventador simplifies the process by allowing users to use SQL to query streams of real-time data without implementing complex code. Stay tuned for more product updates coming soon!

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Cloud Process Scala Kafka 131

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. Understand the Business Goals The first step of any good big data analytics project is understanding the business or industry that you are working on.

Big Data 52

Big Data Coding Project Hadoop 52

Rockset

APRIL 15, 2022

This is the second post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! That is called at-least-once semantics. This has some benefits.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

phData: Data Engineering

JULY 18, 2023

As an AI and data analytics consulting company, phData is on a mission to become the world leader in delivering data services and products on a modern data platform. While rarely a straightforward process, we’ve hit nearly every bump along the way and have learned so much, and we’re excited to share those insights with you!

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52