TechCrunch
APRIL 6, 2022
based businesses said they accelerated their AI implementation over the past two years, while 20% said they’d boosted their usage of business analytics compared with the global average. Rather, it was the ability to scale the productivity of the people who work with data.
The Accidental Successful CIO
MAY 12, 2021
CIOs need to understand how to make use of new business intelligence tools Image Credit: deepak pal. Modern CIOs need to understand that Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an company’s strategic and tactical business decisions.
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Cloudera
OCTOBER 4, 2023
And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. Let’s take a close look at how to get started with CDP, Kudu, CDW, and Impala and develop a game changing real-time analytics platform. Ready to stop blinking and never miss a beat?
Cloudera
DECEMBER 21, 2020
Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. The Data Engineer. Conclusions.
Cloudera
FEBRUARY 25, 2021
They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. This AMP shows you how to get started with MLflow in CML. . Interpretability is an important step in the data science workflow. MLflow for Experiment Tracking.
Xebia
JULY 28, 2023
Introduction In a previous Blog post, I discussed how to manage multiple BigQuery projects with one dbt Cloud project. You can follow the steps on how to set up your deployment pipeline in this article ( CI/CD in dbt Cloud with GitHub Actions: Automating multiple environments deployment ).
Apiumhub
AUGUST 12, 2021
This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.
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