CTOvision

JULY 28, 2016

At Hadoop Summit in San Jose on Tuesday, June 28, 2016, Hortonworks announced a new release of its Hortonworks Data Platform (HDP) Hadoop distribution, version 2.5, as well as an expansion of its Partnerworks program and a new partnership with AtScale , provider of a self-service Business Intelligence (BI) platform for Hadoop.

Government 61

Government Data Big Data Azure 61

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 10

Conference Data Data Engineering Big Data 10

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. This approach to data workflow management was first taken by Airbnb.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data. Final word.

Tools 16

Tools Data Technical Advisors Technical Review 16

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. In 2016, the company attrition rates were 4 percent higher over the industry benchmark. Eventually, Experian started providing its solution to other businesses. Predicting sick leaves or day offs.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

OCTOBER 24, 2019

What is an Enterprise Data Warehouse? If you know how much terabyte is, you’d probably be impressed by the fact that Netflix had about 44 terabytes of data in their warehouse back in 2016. With a data warehouse, an enterprise is able to manage huge data sets, without administering multiple databases.

Architecture 50

Architecture Enterprise Data Technical Review 50

O'Reilly Media - Data

MAY 3, 2018

Once we have data securely in place, we proceed to utilize it in two main ways: (1) to make better decisions (BI) and (2) to enable some form of automation (ML). Business intelligence and analytics. In 2016, Google took this “shared model” concept and scaled it to edge devices! For most companies, BI means a SQL database.

Analytics 177

Analytics Artificial Inteligence Data Machine Learning 177

Altexsoft

MAY 31, 2019

Using analytics and big data, the software can analyze shipping history and improve clients’ operations that will minimize logistical costs and reduce shipment delivery times. Applying Business Intelligence, the software can develop performance metrics and KPIs, and create computer models to predict supply chain issues.

Transportation 85

Transportation Systems Review Software Review System 85

CTOvision

DECEMBER 23, 2015

We will see the emergence of DataOps as a way for enterprises to manage and embrace the full volume and variety of their data ─ helping them rapidly deliver data that enables and accelerates analytics. Data science (and its technology complex analytics) will break out in 2016.

Data 67

Data Artificial Intelligence Artificial Inteligence Technical Review 67