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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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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.

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New live online training courses

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Better Business Writing , July 15. Data science and data tools.

Course 67
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Better Business Writing , July 15. Data science and data tools.

Course 51
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Altexsoft - Untitled Article

Altexsoft

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. What is a data warehouse?

Backup 115
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Technology Trends for 2023

O'Reilly Media - Ideas

Our data shows us what O’Reilly’s 2.8 Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. Business (13%), security (8%), and web and mobile (6%) come next. But the conversation cooled almost as quickly as it started.

Trends 136
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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

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.