AWS big data and data analytics

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AWS big data and data analytics News

January 30, 2018 30 Jan'18
EC2 features aim at network, performance improvements

AWS users have a green light to rev the full bandwidth potential of a particular instance. AWS removed its 5 Gbps limit and improved performance for network connections to and from Elastic Compute ...
December 01, 2017 01 Dec'17
AWS graph database Amazon Neptune sets sail at re:Invent 2017

After Cyber Monday, Amazon Web Services techies headed for re:Invent 2017. There, among a deluge of cloud product announcements by AWS, the Amazon Neptune graph database surfaced.
November 21, 2017 21 Nov'17
Your guide to AWS re:Invent 2017 news and analysis

It's time again for AWS re:Invent, the cloud provider's largest global conference. Follow this guide for news from this year's event and insights from the show floor.
June 29, 2017 29 Jun'17
Data analytics tool for data scientists goes beyond BI visualization

A new breed of data analytics tool for data scientists aims to deliver far more than BI software, including predictive analytics and exploratory analytics.

Bring yourself up to speed with our introductory content

Amazon Pinpoint

Amazon Pinpoint is a marketing and analytics service hosted on the Amazon Web Services (AWS) public cloud that enables an organization to engage with and track metrics related to its application end users. Continue Reading
Dive into AWS data lakes for analytics projects

Data lakes on AWS can provide a treasure trove of information -- if you can work past complexity and management issues. Test the water with these cloud services. Continue Reading
Amazon Athena

Amazon Athena is a service that enables a data analyst to perform interactive queries in the Amazon Web Services public cloud on data stored in Amazon Simple Storage Service (S3). Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

AWS IoT Analytics churns device data into insights

To tap into the business value of IoT data, organizations first need the right set of tools. Compare these AWS analytics services and the features they bring to the table. Continue Reading
BigQuery vs. Redshift debate centers around cost, management

Google BigQuery and Amazon Redshift remain two popular options for a data warehouse in the cloud. But, to choose between them, enterprises need to factor in some distinct differences. Continue Reading
Build a data lake in AWS for analytics success

It can feel overwhelming to migrate data to AWS for analysis. But, while there are challenges, Quick Start guides and services like Snowball and Glue ease the process. Continue Reading

Learn to apply best practices and optimize your operations.

Try this data science experiment for deep learning insights

Deep learning professionals require a specific set of skills and tools. Follow this simple example of a data science project to learn more about the technology and related careers. Continue Reading
Tax software combines public and private cloud architecture

Intuit sees private and public cloud as a dynamic analytics duo that can quickly scale systems, control computing power and test planned changes to its website. Continue Reading
User-defined functions boost Redshift data warehouse features

AWS customers waited years for support for user-defined functions in Redshift. Now they can use Python and other languages to manipulate data in SQL statements. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Improve query performance, cut costs with Amazon Athena

Amazon Athena can query more data formats than its competitor Google BigQuery, but developers must choose easy-to-process formats to enjoy Athena's benefits. Continue Reading
Work through AWS serverless architecture issues and caveats

As more serverless configuration and management tools emerge, developers still struggle to deploy serverless architectures. Serverless expert Peter Sbarski shares insights on Lambda and its future. Continue Reading
How do Hadoop coding errors disrupt big data processing?

Hadoop coding oversights can wreak havoc on big data projects. What Hadoop limitations should we be wary of with data input and output? Continue Reading