AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. For Firehose stream name , enter a name (for this post, ProcessDevicePositionFirehose ).

Analytics 97

Analytics IoT Metadata Internet of Things 97

Howard Dresner

AUGUST 27, 2013

A participant in one of my Friday #BIWisdom tweetchats observed that “in the mobile ecosystem, Big Data + social + the NSA data surveillance news are a perfect storm.” percent of respondents ranked mobile BI as “critically important” in 2012. So mobile BI adoption will grow despite its current drawbacks.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

AWS Big Data

FEBRUARY 21, 2024

To run inside the VPC, the jobs needs to be assigned to a single subnet, but the most suitable subnet can change over time (for instance, based on the usage and availability), so you may prefer to make that decision at runtime, based on your own strategy. If the strategy is capacity , it will order them from most IPs free to fewest.

Strategy 95

Strategy Management Visualization IT 95

AWS Big Data

JUNE 28, 2023

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. For Available versions , choose Aurora MySQL 3.03.1 (or or higher). For Templates , select Production.

Data Warehouse 88

Data Warehouse Analytics Metrics Dashboards 88

AWS Big Data

MARCH 11, 2024

For more information, refer to the section Unnest the JSON document in the post Near-real-time analytics using Amazon Redshift streaming ingestion with Amazon Kinesis Data Streams and Amazon DynamoDB. This sorting step can increase the latency before the streaming data is available to query.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

Smart Data Collective

APRIL 20, 2023

Companies are spending nearly $30 billion a year on big data for marketing initiatives. One of the many reasons that they are using big data is to create better content marketing strategies. The goal of creating a successful content marketing strategy is not simply to create and publish content.

Marketing 78

Marketing Strategy Big Data ROI 78

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

AWS Big Data

SEPTEMBER 6, 2023

In these cases, you can extend the architecture with a buffering technology like Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams between API Gateway and Lambda. In his free time, Marvin enjoys cycling and strategy board games. Nathan Lichtenstein is a Senior Solutions Architect at AWS based in New York City.

Testing 100

Testing Metadata Cost-Benefit Management 100

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 84

Machine Learning Metrics Management Big Data 84

AWS Big Data

MARCH 21, 2024

Challenges Customers across industries today are looking to use data to their competitive advantage and increase revenue and customer engagement by implementing near real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. Choose Create policy.

Data Warehouse 90

Data Warehouse Metrics Statistics Optimization 90

IBM Big Data Hub

MARCH 29, 2024

However, they differ significantly in how they manage data traffic. Here, we dissect those differences and discuss how businesses can use REST and GraphQL APIs to optimize their networks. GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015.

Interactive 77

Interactive Digital Transformation Management Optimization 77

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

IBM Big Data Hub

NOVEMBER 20, 2023

SATA SSDs can achieve a maximum data transfer speed of six gigabytes per second (Gbps), slower than other, newer interfaces, but still considerably faster than a traditional HDD. 2 drives, introduced in 2012, are a type of SSD that can connect directly into a computer’s motherboard using an M.2 2 form factor.

Internet of Things 68

Internet of Things Enterprise Technology IoT 68

Domino Data Lab

MARCH 3, 2019

Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. There are essentially four types encountered: image/video, audio, text, and structured data. That represents a significant shift in strategy and cloud providers stand to benefit.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Cloudera

DECEMBER 12, 2018

And so I actually transitioned out of that group and into the Big Data Appliance group at Oracle, but soon realized that if that was what I wanted to keep doing, this up and coming company called Cloudera might be a better place to do it since these new technologies weren’t just a hobby at Cloudera. Interesting times.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

The Unofficial Google Data Science Blog

MARCH 31, 2016

Far from hypothetical, we have encountered these issues in our experiences with "big data" prediction problems. Cambridge University Press, (2012). [4] Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. See [9], [10] for a discussion of this approach. bandit problems).

Modeling 40

Modeling Statistics Advertising Testing 40

Sisense

JULY 23, 2021

At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources. Using data to create a more modern Olympics. London 2012 signaled the start of the Games organizers evolving the way they collect and manage data. “We’ve

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

There is no longer always intentionality behind the act of data collection — data are not collected in response to a hypothesis about the world, but for the same reason George Mallory climbed Everest: because it’s there. Be skeptical, intellectually honest. References [1] Efron, B. New York: Cambridge University Press. [2] 3] Hill, A.

Experimentation 61

Experimentation Testing Statistics Metrics 61