Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

Smart Data Collective

APRIL 24, 2020

Perhaps one of the biggest perks is scalability, which simply means that with good data lake ingestion a small business can begin to handle bigger data numbers. The reality is businesses that are collecting data will likely be doing so on several levels. Data Analytics Simplified. Proper Scalability.

Data Lake 100

Data Lake Data Collection Deep Learning Management 100

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

MARCH 1, 2023

Finding similar columns in a data lake has important applications in data cleaning and annotation, schema matching, data discovery, and analytics across multiple data sources. Transform CSV to Parquet Raw CSV files are converted to Parquet data format with AWS Glue.

Data Lake 85

Data Lake Deep Learning Modeling Interactive 85

AWS Big Data

MAY 16, 2024

H3 indexing and related H3 spatial functions are now available for Amazon Redshift spatial analytics. For more information or to get started with Amazon Redshift spatial analytics, see the documentation for querying spatial data , spatial functions , and the spatial tutorial.

Data Warehouse 108

Data Warehouse Visualization Cost-Benefit Optimization 108

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

Jen Stirrup

MAY 5, 2020

Organizations need to recast storing their data. It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. Using open-source analytics means you can spin up significant clusters as and when you need them.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89