DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. According to Flexera 1 , 92% of enterprises have a multi-cloud strategy, while 80% have a hybrid cloud strategy.

Exploratory Data Analysis 72

Exploratory Data Analysis ML ML AI 72

Ocean Protocol

MARCH 7, 2023

See our Discord #events-overview channel for further details or chat with us in the dedicated #data-challenges channel. About Ocean Protocol Ocean Protocol is a decentralized data-sharing ecosystem spearheading the movement to unlock a New Data Economy, break down data silos, and open access to quality data.

Data Scientist 52

Data Scientist Data Silos Data Science Python 52

phData

MAY 25, 2023

Whether you’re a supply chain veteran or a newcomer, the examples we’re about to explore will illustrate the transformative potential of these advanced data platforms in today’s complex, data-driven supply chain landscape.

Data Silos 52

Data Silos System Architecture Cloud Data Data Analyst 52

ODSC - Open Data Science

JUNE 7, 2023

Delta Lake Delta Lake is the first open-source data lakehouse architecture service on this list. It also has an impressive list of integrations such as Amazon Redshift, Kafka, Python, Java, trino, DataHub, and others. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

phData

SEPTEMBER 13, 2023

Here’s an example of code that can be used to extract Salesforce data and load it into Snowflake using Python: 2. Third-Party Tools Third-party tools like Matillion or Fivetran can help streamline the process of ingesting Salesforce data into Snowflake.

Tableau 52

Tableau Data Pipeline Data Silos Analytics 52

phData

FEBRUARY 13, 2024

There is a limited number of resources in the job market that know this language, leading to a significant amount of upskilling for current and new staff to be able to empower development and analytics by data teams. Example Solution Here is a high-level overview of how the solution works.

Analytics 59

Analytics Analytics Data Scientist Data Modeling 59

ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. The data lake can then refine, enrich, index, and analyze that data. Tell me more about ECL.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52