Jedox

JULY 17, 2018

After all, turning huge masses of data into actionable knowledge is still challenging. According to Forrester’s 2018 predictions for AI*, 70% of enterprise expect to implement AI over the next 12 months. Forbes 2018, 10 Predictions For AI, Big Data, And Analytics in 2018.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

DECEMBER 8, 2023

In 2021, FanDuel’s workloads almost tripled since they first started using Amazon Redshift in 2018, and they started evaluating Redshift RA3 nodes vs. DC2 nodes to take advantage of the storage and compute separation and deliver better performance at lower costs. He has a keen interest in data analytics as well.

Data Warehouse 67

Data Warehouse Cost-Benefit KPI Risk 67

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 14 years later, in 2020, the pandemic demands for remote work, and overnight revisions to business strategy. An efficient big data management and storage solution that AWS quickly took advantage of. [You

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

FEBRUARY 1, 2024

Filter data from the Common Crawl dataset As you can see from the create table SQL statement, there are several fields that can help filter the data. For demo purposes, you can improve the processing time with the following strategies: Download the file s3://commoncrawl/crawl-data/CC-MAIN-2023-23/warc.paths.gz

Metadata 95

Metadata Modeling Data Processing Unstructured Data 95

Sisense

JUNE 9, 2021

This is infused analytics at work: Wearable devices deliver data and insights directly to the coaches, enabling them to make decisions and transform teams’ performance without technical data expertise. These developments have added a whole new dimension to data analysis.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Domino Data Lab

AUGUST 8, 2019

to join data science teams, e.g., to support advertising, social networks, gaming, and so on—I hired more than a few. 2018 – Global reckoning about data governance, aka “Oops!…We Data governance, for the win! Then rethink your hiring strategies w.r.t. 2008 – Financial crisis : scientists flee Wall St.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

DECEMBER 12, 2018

It kind of was interesting to me that there were these big internet companies in the valley running this platform or a variation thereof of, based on Google research papers. Let’s talk about big data and Apache Impala. Conversely, on a big data platform, it’s very easy to land data no matter what.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

Birst BI

MAY 14, 2019

Cloud, digital transformation, mergers and acquisitions, big data analytics, data monetization, and more are all critical business initiatives creating an even greater divide between centralized IT and decentralized analytic teams in the business. Mona Patel works in Birst’s Product Strategy team.

Analytics 9

Analytics Key Performance Indicator Business Intelligence Visualization 9

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. 1 for data analytics trends in 2020. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361