CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Protect your business. Modern data warehousing.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Cloudera

FEBRUARY 19, 2018

He is a speaker, an author, and a leading expert in the areas of business transformation, SAP System Landscape Optimization (SLO), and integration of SAP systems with Big Data scenarios. The post Breaking down data silos: when SAP alone is not enough appeared first on Cloudera Blog.

Data 46

Data Government Big Data Compliance 46

Netflix Tech

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing. data arrives too late to be useful).

Windows 84

Windows Software Review Data Engineering 84

Cloudera

DECEMBER 18, 2017

Open source projects like Apache Hadoop, Spark, Impala, and many others are changing the way companies capture, store, process, and analyze big data. We’ve learned from these innovators that business transformation with data happens in three predictable phases, represented by the graphic below.

Data 40

Data Business Transformation Machine Learning Artificial Inteligence 40

BPM

JANUARY 18, 2019

Business Architecture is growing as a movement, but it will only find success if it is able to provide an agile method for business transformation. Too many still believe that the architecture is the deliverable, when the real desired outcome is agile business transformation. Max Pucher Isis Papyrus [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

OCTOBER 26, 2022

Things like business knowledge, in-depth understanding of digital structures, experience in project management, and comprehensive know-how in areas such as big data, blockchain, AI, IoT, etc. Business acumen. CDO hard skills and qualifications. are important for the CDO to do their job. Project management.

CTO 52

CTO Organization Technical Review Culture 52