Pickl AI

DECEMBER 2, 2024

Introduction In today’s digital age, the volume of data generated is staggering. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Introduction In today’s digital age, the volume of data generated is staggering. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

ODSC - Open Data Science

NOVEMBER 19, 2024

Despite the rise of big data technologies and cloud computing, the principles of dimensional modeling remain relevant. This session delved into how these traditional techniques have adapted to data lakes and real-time analytics, emphasizing their enduring importance for building scalable, efficient data systems.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

IBM Journey to AI blog

OCTOBER 12, 2023

AI-optimized data stores enable cost-effective AI workload scalability AI models rely on secure access to trustworthy data, but organizations seeking to deploy and scale these models face an increasingly large and complicated data landscape.

AI 93

AI AI Data Scientist Data Governance 93

IBM Journey to AI blog

JULY 3, 2024

The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. But it’s not so simple. With growth comes complexity.

AI 45

AI AI Data Quality Database 45

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

NOVEMBER 18, 2024

Dimensional Data Modeling in the Modern Era Dustin Dorsey |Principal Data Architect |Onix With the emergence of big data, cloud computing, and AI-driven analytics, many wonder if the traditional principles of dimensional modeling still hold value. Be one of our first 100 attendees to save 75% on your pass!

Deep Learning 40

Deep Learning Deep Learning Database Data Science 40

Tableau

OCTOBER 8, 2024

Tableau Next is the first BI platform with a workflow engine that spans the analytics journey from raw data, to a data lake, a semantic layer, a viz layer, and an action layer. Does Tableau Next support multiple languages for global teams who want to standardize and scale data sets, models, and workflows across geographies?

Tableau 52

Tableau Analytics Analytics Data Lakes 52

Tableau

OCTOBER 8, 2024

Tableau Einstein is the first BI platform with a workflow engine that spans the analytics journey from raw data, to a data lake, a semantic layer, a viz layer, and an action layer. Multi-currency is another area we are looking to support. How can I get started with Tableau Einstein today?

Tableau 52

Tableau Analytics Analytics Data Lakes 52

Snorkel AI

OCTOBER 9, 2024

Data ingress and egress Snorkel enables multiple paths to bring data into and out of Snorkel Flow, including but not limited to: Upload from and download to your local computer Data connectors with common third-party data lakes such as Databricks, Snowflake, Google Big Query as well as S3, GCS, and Azure buckets.

Azure 52

Azure AWS Data Lakes Clustering 52