Knowledge Hut

JANUARY 25, 2024

Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making. Outcome A cleaner, more accurate dataset.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Rockset

AUGUST 30, 2021

It eliminates the cost and complexity around data preparation, performance tuning and operations, helping to accelerate the movement from batch to real-time analytics. The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible.

SQL 52

SQL Kafka MongoDB MySQL 52

Rockset

OCTOBER 4, 2022

Automatically generated schema in Rockset showing mixed string and object types ClickHouse data is usually denormalized so as to avoid having to do JOINs, and users have commented that the data preparation needed to do so can be difficult. ClickHouse has several storage engines that can pre-aggregate data.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

U-Next

SEPTEMBER 7, 2022

People who are unfamiliar with unprocessed data often find it difficult to navigate data lakes. Usually, raw, unstructured data needs to be analyzed and translated by a data scientist using specialized tools. . Apache Spark and Hadoop can be used for big data analytics on data lakes. . Conclusion . .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

ProjectPro

FEBRUARY 8, 2023

Your data may be efficiently organized, cleaned, improved, and reliably moved across different data stores and data streams with the help of AWS Glue. You can write code to migrate, transform, and aggregate data from one source to another using the batch and streaming capabilities provided by AWS Glue ETL.

AWS 98

AWS Scala Metadata Data Lake 98

Rockset

FEBRUARY 25, 2021

With Rockset, regardless of what format your data is in, your team can query it using SQL to easily parse complex data types. From there, you can join and aggregate data without using complex code.

SQL 40

SQL Data Pipeline Kafka Database 40

ProjectPro

NOVEMBER 15, 2021

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. It was built from the ground up for interactive analytics and can scale to the size of Facebook while approaching the speed of commercial data warehouses.

Big Data 52

Big Data Project Metadata Programming Language 52