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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 338
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Ascend.io lands $31M to automate data pipeline orchestration

TechCrunch

Ascend.io , a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing investor Accel, it announced today. Rather, it was the ability to scale the productivity of the people who work with data.

Data 230
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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Data 97
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Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90
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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

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Top Data science books you should definitely read

Apiumhub

Data Science is one of the highest-paid and most popular fields nowadays. And there is nothing better than reading data science books to get the ball rolling. Top Data science books you should definitely read. Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce.

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

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.