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. ClickHouse has several storage engines that can pre-aggregate data.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Striim

AUGUST 22, 2024

Streaming analytics focuses on analyzing data in motion, unlike traditional analytics, which deals with data stored in databases or data warehouses. Because of this, streaming analytics is especially impactful for fraud detection, log analysis, and sensor data processing use cases.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Striim

OCTOBER 11, 2024

Exactly-Once Processing (E1P) Data loss and duplication are critical issues in data pipelines that need to be addressed for reliable data processing. Modern pipelines incorporate Exactly-Once Processing (E1P) to ensure data integrity.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. In the event that they are not the same, what are the difference s? Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Rockset

DECEMBER 17, 2020

Overview of the Customer 360 App Our app will make use of real-time data on customer orders and events. We’ll use Rockset to get data from different sources and run analytical queries that power our app in Retool. From there, we’ll create a data API for the SQL query we write in Rockset.

Building 40

Building Aggregated Data SQL Database 40

ProjectPro

JANUARY 25, 2022

RDDs are also fault-tolerant; thus, they will automatically recover in the event of a failure. RDD is an acronym for- Resilient - It is fault-tolerant and capable of regenerating data in the event of a failure. Distributed - The data in a cluster is distributed among the various nodes.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Step 1- Automating the Lakehouse's data intake.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52