Knowledge Hut

OCTOBER 31, 2023

Two of the most well-known cloud service providers, Amazon Web Services (AWS) and Microsoft Azure, provide reliable data engineering solutions. Often, aspiring data engineers must choose between two options: AWS data engineer or Azure data engineer. Azure Data Factory, Databricks, etc.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Striim

NOVEMBER 30, 2022

When you run Striim on AWS, it lets you create real-time data pipelines for Redshift, S3, Kinesis, Databricks, Snowflake and RDS for enterprise workloads. It comes with pre-built data connectors that can automate your data movement from any source to AWS Redshift or S3 within a few minutes.

AWS 52

AWS Cloud Management Google Cloud 52

Cloudera

JANUARY 15, 2021

The following price-performance summary is directly from the McKnight report: The chart compares the cost to run the full 99 query TPC-DS workload at a scale factor of 30 TB on Cloudera Data Warehouse (CDW) vs the 4 competitors. DW1 is an anonymized cloud data warehouse running on AWS and DW2 is an anonymized data warehouse running on GCP.

Data Warehouse 92

Data Warehouse Cloud Consulting SQL 92

Monte Carlo

JANUARY 25, 2023

So, the decision to build vs buy data warehouse solutions—or any other storage and compute architecture—is one that requires a a deep understanding of your organization and what you hope to achieve. First, let’s consider some out-of-the-box managed solutions.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

U-Next

SEPTEMBER 7, 2022

Amazon Redshift. . Synapse on Microsoft Azure. . Amazon Web Services S3 . Gen 2 Azure Data Lake Storage . Data Lake Vs. Data Warehouse: Latest Industry Stats . Data Lake vs. Data Warehouse: Similarities . Data Lake vs. Data Warehouse: Differences . Big Query by Google. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. ELT vs ETL. For more information, read our detailed, head-to-head ETL vs ELT comparison. There’s a data science team that needs access to raw data for machine learning projects. ELT use cases.

Process 52

Process Building Raw Data Data Lake 52