AWS Big Data

OCTOBER 25, 2023

Prerequisites Complete the following prerequisite steps: We will be using a VPC for demonstration purposes for generating data. To optimize S3 storage costs, create a lifecycle configuration on the S3 bucket to transition the VPC flow logs to different tiers or expire processed logs. Athena is priced per data scanned.

Analytics 120

Analytics Data Processing Optimization Metrics 120

Smart Data Collective

APRIL 9, 2019

Big data is going to have a large impact on the direction of this growing industry. Industry data shows that the real money betting and gambling sector was worth around $417 billion in 2012. iGaming Evolves with Big Data. Big data is going to play a more important role in all of them.

Technology 66

Technology Big Data Cost-Benefit Risk 66

AWS Big Data

NOVEMBER 13, 2023

With MSK Serverless, you can run your applications without having to provision, configure, or optimize clusters, and you pay for the data volume you stream and retain. You can run your applications without having to configure and manage the infrastructure or optimize clusters, and you pay for the data volume you stream and retain.

Cost-Benefit 77

Cost-Benefit Management Optimization Consulting 77

AWS Big Data

FEBRUARY 28, 2024

He primarily focuses on modern applications with microservice software patterns, and advocates for implementing robust CI/CD practices to optimize the software delivery lifecycle for customers. cd osis-pipeline-terraform-example Create the Terraform configuration Create a file to define the AWS resources. touch main.tf

Metrics 65

Metrics Management Software Testing 65

AWS Big Data

MARCH 12, 2024

Replace the placeholder with the S3 bucket name you created earlier: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "s3:GetObject", "Resource": [ "arn:aws:s3::: /*" ] } ] } Next, we create one of the AWS Glue ETL jobs, ruleset-5. Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Data Quality 89

Data Quality Measurement Testing Visualization 89

Cloudera

SEPTEMBER 8, 2020

With the industry facing so much change, and with so many new opportunities to leverage big data, analytics, and unique insights, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next.

IoT 70

IoT Internet of Things B2B Data-driven 70

IBM Big Data Hub

AUGUST 9, 2023

For many companies, however, their applications are their business, and the lack of an observability framework can limit their ability to diagnose issues and optimize systems in a timely manner. The problem with this misconception is that it can deter smaller organizations or teams from adopting observability practices.

Metrics 62

Metrics Interactive Software Data-driven 62

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. He is passionate about big data and data analytics. Sandeep Singh is a Lead Consultant at AWS ProServe, focused on analytics, data lake architecture, and implementation.

Metadata 79

Metadata Testing Data Lake Consulting 79

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. The following code is the input paths map: { EventType: $.detail.EventType

Analytics 94

Analytics IoT Metadata Internet of Things 94

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Why IBM Consulting for generative AI on AWS?

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

AWS Big Data

APRIL 20, 2023

We can also see the temporary data stored on Amazon S3 in the optimized Parquet format. This optimization results in required data being retrieved, so Apache Spark can process less data and have better performance. enableHiveSupport().getOrCreate() Gagan has over 18 years of experience in information technology.

Data Lake 77

Data Lake Data Warehouse Sales Data-driven 77

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data.

Analytics 55

Analytics Data Lake Testing Optimization 55

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

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. You can perform real-time transaction processing on data in Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. or higher).

Data Warehouse 84

Data Warehouse Analytics Metrics Dashboards 84

AWS Big Data

MARCH 11, 2024

The trust policy should look like the following code: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "sts:AssumeRole", "Principal": { "AWS": "arn:aws:iam::9876543210:role/MyRedshiftRole" } } ] } Sign in to the Amazon Redshift console as account A.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

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 256

Machine Learning Testing Modeling Cost-Benefit 256

AWS Big Data

JUNE 12, 2024

In her current role, she helps customers across industries in their digital transformation journey and build secure, scalable, performant and optimized workloads on AWS. In his role, he collaborates closely with clients, assisting in their migration to cloud platforms and optimizing cluster setups to enhance performance and reduce costs.

Dashboards 92

Dashboards Visualization Sales IoT 92

AWS Big Data

MARCH 20, 2024

KinesisStreamCreateResourcePolicyCommand – This creates the resource policy in Account 1 for Kinesis Data Stream. He works across power, utilities, manufacturing and automotive customers on strategic implementations, specializing in using AWS Streaming and advanced data analytics solutions, to drive optimal business outcomes.

Internet of Things 108

Internet of Things IoT Manufacturing Data Processing 108

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

JANUARY 22, 2024

Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security. Spyridon supports the organization in designing, implementing and operating its services in a secure manner protecting the company and users’ data.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

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. Provisioned concurrency ensures that polling Lambda functions don’t need to warm up before requests arrive.

Testing 97

Testing Metadata Cost-Benefit Management 97

AWS Big Data

AUGUST 31, 2023

For optimal performance, partitions should be distributed across many compute units for parallel processing. If your OpenSearch Ingestion pipeline resides in an account different from your MSK cluster, you will need a second section to allow this pipeline.

Testing 106

Testing Data Processing Dashboards Management 106

AWS Big Data

AUGUST 28, 2023

Amazon Security Lake centralizes access and management of your security data by aggregating security event logs from AWS environments, other cloud providers, on premise infrastructure, and other software as a service (SaaS) solutions. Additionally, the principal must have permission to pass the pipeline role to OpenSearch Ingestion.

Dashboards 52

Dashboards Visualization Metadata Management 52

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 82

Machine Learning Metrics Big Data Management 82

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. Despite the many benefits of big data for content marketing, many businesses still don’t know how to utilize it effectively.

Marketing 79

Marketing Strategy Big Data ROI 79

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. With zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. Choose Create policy.

Data Warehouse 87

Data Warehouse Metrics Statistics Optimization 87

AWS Big Data

FEBRUARY 21, 2024

However, the job will always try to use the connections’ network configuration in the order listed and pick the first one that passes the health checks and has at least two IP addresses to get the job started, which might not be the optimal option. Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Strategy 92

Strategy Management Visualization IT 92

AWS Big Data

OCTOBER 23, 2023

Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. He joined AWS in 2015 and has been focusing in the big data analytics space since then, helping customers build scalable and robust solutions using AWS analytics services.

Data Lake 101

Data Lake Visualization Optimization Interactive 101

AWS Big Data

OCTOBER 31, 2023

Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. This blog post is co-written with James Sun from Snowflake.

Data Processing 89

Data Processing Management Publishing Testing 89

AWS Big Data

SEPTEMBER 29, 2023

By analyzing XML files, organizations can easily integrate data from different sources and ensure consistency across their systems, However, XML files contain semi-structured, highly nested data, making it difficult to access and analyze information, especially if the file is large and has complex, highly nested schema.

Metadata 65

Metadata Visualization Data-driven Optimization 65

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 73

Interactive Digital Transformation Management Optimization 73

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 64

Internet of Things Enterprise Technology IoT 64

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. Frankly, I was surprised that workflow reproducibility did not get a larger share.

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 41

Data Warehouse Marketing Big Data Data Lake 41

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. bandit problems). ICML, (2005). [3] 3] Bradley Efron.

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