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. For this benchmark, we evaluated Rockset and Elasticsearch ingestion performance on throughput and data latency.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Cloudera

AUGUST 13, 2021

A global oil and gas company collects, transforms, and distributes over hundreds terabytes of desktop, server, and application log data to their SIEM per day. As the company evolves into a hybrid and multi-cloud strategy, they need to start collecting applications, servers, and network logs from the cloud.

Data Pipeline 107

Data Pipeline Data Lake ETL Tools Unstructured Data 107

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, in contrast, is a real-time analytics platform that was built to serve sub-second queries on real-time data.

Kafka 52

Kafka Data Warehouse BI Analytics Application 52

Rockset

MARCH 15, 2021

For example, instead of denormalizing the data, you could use a query engine that supports joins. 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.,

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. Several vendors also offer cloud versions of ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. When to use MapReduce with Big Data. How can AWS solve Big Data Challenges?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

JUNE 16, 2022

Faster data ingestion: streaming ingestion pipelines. Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. . Better yet, it works in any cloud environment. Getting started today.

Kafka 83

Kafka Manufacturing Data Lake SQL 83

Rockset

DECEMBER 9, 2021

Companies that undertook big data projects ran head-long into the high cost, rigidity and complexity of managing complex on-premises data stacks. Lifting-and-shifting their big data environment into the cloud only made things more complex. Every layer in the modern data stack was built for a batch-based world.

Transportation 52

Transportation BI SQL Data Warehouse 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. All updates are appended rather than written over existing data records. This has some benefits.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 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 52

Big Data Coding Project Hadoop 52

phData: Data Engineering

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52