Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Such a query pattern is quite common in BI queries. Starting from the CDW Public Cloud DWX-1.6.1

Snapshot 92

Snapshot Metadata Cost-Benefit Data Warehouse 92

AWS Big Data

NOVEMBER 6, 2023

Amazon EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. We’re happy to introduce runtime roles for EMR Studio Workspaces.

Data Lake 91

Data Lake Sales Management Testing 91

AWS Big Data

AUGUST 2, 2023

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

Data Lake 68

Data Lake Measurement Visualization Data Architecture 68

AWS Big Data

APRIL 12, 2023

Also, you can run other types of business applications, such as web applications and machine learning (ML) TensorFlow workloads, on the same EKS cluster. which has resulted in 5.37 In this post, we describe the benchmark setup and results on top of the EMR on EKS environment. As of the Amazon EMR 6.5 with up to 61% lower costs.

Testing 72

Testing Big Data Metadata Optimization 72

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Introduction.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

OCTOBER 20, 2020

In this first post we will focus on work that was recently completed to expand the multithreading model used during query execution. Two of the key tenets of Impala’s design philosophy are: Parallelism – for each part of query execution, run it in parallel on as many resources as possible. Introduction. But first, some context.

Modeling 104

Modeling Broadcasting Cost-Benefit Data Warehouse 104

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. In this blog post, we will talk about a single Ozone cluster with the capabilities of both Hadoop Core File System (HCFS) and Object Store (like Amazon S3).

Metadata 89

Metadata Big Data Optimization Unstructured Data 89