Remove Artificial Inteligence Remove Big Data Remove Business Transformation Remove Data Engineering
article thumbnail

The IBM Press Release on Spark That Every Tech Leader Should Read

CTOvision

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.

article thumbnail

Nominations Now Open for the Sixth Annual Cloudera Data Impact Awards

Cloudera

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. Grow your business. Protect your business.

Data 41
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Breaking down data silos: when SAP alone is not enough

Cloudera

Running a large company is impossible without having an ERP system in place, and SAP business software remains at the forefront in this category. But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough.

Data 46
article thumbnail

The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Explainable AI is a must for automated business decisions. Denis Gagne Trisotech [link]. Regulated and unregulated industries should advance with caution.

article thumbnail

Plotting the data-driven journey

Cloudera

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
article thumbnail

Incremental Processing using Netflix Maestro and Apache Iceberg

Netflix Tech

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
article thumbnail

Chief Digital Officer: Role, Responsibilities, Skills, and When Organizations Need One

Altexsoft

A Chief Digital Officer or CDO is a C-level specialist who drives digital transformation by building an innovative ecosystem in the company to ultimately transform a traditional analog business into a digital one. Business acumen. CDO hard skills and qualifications. are important for the CDO to do their job.

CTO 52