AWS Big Data

OCTOBER 10, 2023

In this post, we showcase how to use AWS Glue with AWS Glue Data Quality , sensitive data detection transforms , and AWS Lake Formation tag-based access control to automate data governance. We use AWS CloudFormation to provision the resources. This gets tedious and delays the data adoption across the enterprise.

Data Quality 111

Data Quality Data Governance Data Lake Testing 111

AWS Big Data

APRIL 24, 2023

In 2022, we announced that you can enforce fine-grained access control policies using AWS Lake Formation and query data stored in any supported file format using table formats such as Apache Iceberg , Apache Hudi, and more using Amazon Athena queries. An AWS Glue crawler is integrated on top of S3 buckets to automatically detect the schema.

Data Lake 98

Data Lake Data Governance Machine Learning Cost-Benefit 98

AWS Big Data

OCTOBER 5, 2023

Amazon AppFlow , a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery. Next, provide AWS Glue Data Catalog settings to create a table for further analysis. Choose Create bucket. Choose Create bucket.

Data Warehouse 117

Data Warehouse Machine Learning Data Integration Data-driven 117

AWS Big Data

FEBRUARY 16, 2024

Redshift Spectrum uses the AWS Glue Data Catalog as a Hive metastore. AWS Lake Formation offers a straightforward and centralized approach to access management for S3 data sources. Lake Formation uses the AWS Glue Data Catalog to provide access control for Amazon S3. Lake Formation interface endpoint. Amazon S3 gateway endpoint.

Data Lake 119

Data Lake Data Warehouse Testing Business Objectives 119

AWS Big Data

NOVEMBER 22, 2023

Many AWS customers adopted Apache Hudi on their data lakes built on top of Amazon S3 using AWS Glue , a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.

Data Lake 116

Data Lake Snapshot Metadata Optimization 116

Data Science 101

DECEMBER 27, 2019

AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. Build a custom classifier using AWS Comprehend AWS Comprehend is a Natural Language Processing (NLP) service. This blog post acts more like a step-by-step tutorial.

Data Science 86

Data Science Deep Learning Data-driven IT 86

Smart Data Collective

SEPTEMBER 8, 2021

It is considered a “complex to license and expensive tool” that often overlaps with other products in this category. AWS Data Pipeline : AWS Data Pipeline can be used to schedule regular processing activities such as SQL transforms, custom scripts, MapReduce applications, and distributed data copy. Conclusion.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

AWS Big Data

MARCH 2, 2023

Apache Iceberg integration is supported by AWS analytics services including Amazon EMR , Amazon Athena , and AWS Glue. In early 2022, AWS announced general availability of Athena ACID transactions, powered by Apache Iceberg. AWS Glue 3.0 The following is an example Iceberg catalog with AWS Glue implementation.

Data Lake 137

Data Lake Data Processing Metadata Snapshot 137

AWS Big Data

JUNE 19, 2023

With OCSF support, the service can normalize and combine security data from AWS and a broad range of enterprise security data sources. We also walk you through how to use a series of prebuilt visualizations to view events across multiple AWS data sources provided by Security Lake.

Publishing 105

Publishing Dashboards Visualization Management 105

AWS Big Data

AUGUST 12, 2024

You can also use the list-recommendations command in the AWS Command Line Interface (AWS CLI) to invoke the Advisor recommendations from the command line and automate the workflow through scripts. For Stack name , enter a name for the stack, for example, blog-redshift-advisor-recommendations.

Cost-Benefit 105

Cost-Benefit Data Warehouse Optimization Data Lake 105

AWS Big Data

FEBRUARY 21, 2024

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. Furthermore, each node (driver or worker) in an AWS Glue job requires an IP address assigned from the subnet.

Strategy 115

Strategy Visualization Management IT 115

AWS Big Data

SEPTEMBER 20, 2023

AWS Glue interactive sessions allow you to run interactive AWS Glue workloads on demand, which enables rapid development by issuing blocks of code on a cluster and getting prompt results. This feature existed for AWS Glue jobs and is now available for interactive sessions.

Interactive 119

Interactive Management Reporting IT 119

Cloudera

NOVEMBER 16, 2021

You can find more information in this release announcement blog post and in this technical deep dive blog post. Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc). Functions as a Service.

KPI 110

KPI Data-driven IoT Optimization 110

AWS Big Data

MARCH 1, 2024

AWS Lake Formation is a fully managed service that simplifies building, securing, and managing data lakes. In this post, we share the solution using Amazon Redshift role based access control (RBAC) and AWS Lake Formation tag-based access control for federated users to query your data lake using Amazon Redshift Spectrum.

Data Lake 119

Data Lake Data Warehouse Management Risk 119

AWS Big Data

JUNE 18, 2024

This blog post provides a step-by-step guide for building a multimodal search solution using OpenSearch Service. This direct integration eliminates the need for an additional component (for example, AWS Lambda ) to facilitate the exchange between the two services. Select Map and confirm the user or role shows up under Mapped users.

Dashboards 119

Dashboards Metadata Modeling Visualization 119

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. It’s worth mentioning that they also have other product and tech teams, including operational or business teams, without AWS accounts. Each team owns at least two AWS accounts, up to 10 accounts, depending on the ownership.

Data-driven 117

Data-driven Advertising Metadata Data Architecture 117

AWS Big Data

MAY 24, 2023

Still, to make your data lake workloads highly available in an unlikely outage situation, you can replicate your S3 data to another AWS Region as a backup. The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation. availability. parquet 2021-11-01 06:00:10 6.1

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

Cloudera

AUGUST 5, 2021

In our previous blog, we talked about the four paths to Cloudera Data Platform. . If you haven’t read that yet, we invite you to take a moment and run through the scenarios in that blog. As we touched on in the previous blog, the decision to upgrade or migrate may seem difficult to evaluate at first glance. In-place Upgrade.

Testing 119

Testing Risk Finance Reporting 119

Cloudera

NOVEMBER 25, 2021

At Cloudera, supporting our customers through their complete data journey also means providing access to game-changing technologies with trusted partners like Amazon Web Services (AWS). . Cloudera and AWS: Harnessing the Power of Data and Cloud . Customer use cases can be grouped into three categories. .

Machine Learning 90

Machine Learning IoT Risk Business Objectives 90

AWS Big Data

MARCH 29, 2024

AWS offers a broad selection of managed real-time data streaming services to effortlessly run these workloads at any scale. Experiencing business hyper-growth, Nexthink migrated to AWS to overcome the scaling limitations of on-premises solutions. Simone Pomata is Senior Solutions Architect at AWS.

Data-driven 111

Data-driven Cost-Benefit Metrics Management 111

AWS Big Data

NOVEMBER 6, 2023

Data is often stored in data lakes managed by AWS Lake Formation , enabling you to apply fine-grained access control through a simple grant or revoke mechanism. The jobs on the EMR cluster will use this runtime role to access AWS resources. Raw data is stored in S3 buckets and catalogued in the AWS Glue Data Catalog.

Data Lake 111

Data Lake Sales Management Testing 111

BizAcuity

NOVEMBER 22, 2022

Using Snowpipe for data ingestion to AWS. Snowpipe data ingestion might be too slow for three use categories: real-time personalization, operational analytics, and security. AWS Glue to Snowflake ingestion. AWS Glue provides a fully managed environment that integrates easily with Snowflake’s data warehouse as a service.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Alation

SEPTEMBER 30, 2022

In this blog, I’ll talk about the data catalog and data intelligence markets, and the future for Alation. While we’re widely credited with driving the creation of the data catalog category 1 , Alation isn’t just a data catalog company. We’re excited to continue to innovate and lead the data intelligence category for years to come!

Measurement 92

Measurement Metrics Data Governance Sales 92

Laminar Security

SEPTEMBER 18, 2023

Automatic cloud platform backups, using tools from the CSP platforms, like AWS. Database backups: The third category of backups are database backups. zip` in AWS, making them portable and easy to transfer between different systems and environments. Manual backups, created at will by the user. S3 Cross-Region Replication (CRR) a.

Risk 128

Risk Testing Data Governance Metadata 128

AWS Big Data

MARCH 9, 2023

It contains different categories of columns: Keys – It contains two types of keys: customer_sk is the primary key of this table. Use an AWS Glue crawler to parse the data files and register tables in the AWS Glue Data Catalog. Create an external schema in Amazon Redshift to point to the AWS Glue database containing these tables.

Slice and Dice 98

Slice and Dice Data Warehouse Metrics Metadata 98

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. We developed and host several applications for our customers on Amazon Web Services (AWS). Specialist SA-Data working with AWS India Public sector customers.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

AWS Big Data

JUNE 1, 2023

In this blog post, we demonstrate how you can use DJL within Kinesis Data Analytics for Apache Flink for real-time machine learning inference. We provide sample code, architecture diagrams, and an AWS CloudFormation template so you can follow along and employ ResNet-18 as your classifier to make real-time predictions.

Deep Learning 89

Deep Learning Data Analytics Analytics Machine Learning 89

CDW Research Hub

JUNE 4, 2019

Sirius continues to build on its strategic partnership with Amazon Web Services (AWS) by tirelessly working to elevate our technical expertise and our ability to help businesses succeed. Because of this, we are proud to announce that we have successfully achieved AWS Storage Competency status.

Consulting 67

Consulting Optimization Strategy Technology 67

Occam's Razor

OCTOBER 24, 2016

To address that, on this blog I've shared something I call the ladders of awesomeness – my view of what the entire evolutionary path looks like. It is very hard to capture an entire keynote, and a life-time of bruises that the wisdom above reflects, in a simple blog post. Why do I say irritating? I love this report.

Metrics 147

Metrics Marketing Optimization Modeling 147

Cloudera

DECEMBER 21, 2020

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. The post An A-Z Data Adventure on Cloudera’s Data Platform appeared first on Cloudera Blog.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

AWS Big Data

SEPTEMBER 22, 2023

If you’d like to know more background about how we use Kafka at Stitch Fix, please refer to our previously published blog post, Putting the Power of Kafka into the Hands of Data Scientists. We have been using separate production and staging VPCs since we initially started using AWS.

Management 119

Management Metrics Cost-Benefit Data Lake 119

Ms SQL Girl

DECEMBER 3, 2014

For example, if you have a requirement such that one Product Category would have different Threshold values (e.g. KPI Configuration Table to store the upper and lower Yellow values for each Product Category, and for a defined set of periods. Use the AW-DimProductCategoryKPI.sql table creation script as a sample. Prerequisites.

KPI 58

KPI Sales Modeling Measurement 58

Cloudera

JUNE 9, 2022

In the first blog of the Universal Data Distribution blog series , we discussed the emerging need within enterprise organizations to take control of their data flows. In this second installment of the Universal Data Distribution blog series, we will discuss a few different data distribution use cases and deep dive into one of them. .

Data Collection 94

Data Collection IoT Data Lake Unstructured Data 94

Occam's Razor

FEBRUARY 20, 2012

If you fall in the "Analyst unwilling to do the hard work" category, I'm afraid I can't help you. If you fall into the "Analyst really wanting to do the hard work but does not have the connection to Superiors, or other teams, and looking for any way out to identify business purpose" category. Aw, come on!

IT 139

IT Measurement Marketing Metrics 139

Alation

SEPTEMBER 8, 2022

That’s why when it was announced that Alation achieved Amazon Web Services (AWS) Data and Analytics Competency in the data governance and security category, we were not only honored to receive this coveted designation, but we were also proud that it confirms the synergy — and customer benefits — of our AWS partnership.

Data Analytics 52

Data Analytics Analytics Data Governance Strategy 52

IBM Big Data Hub

MAY 26, 2023

The role of AWS and cloud security in life sciences However, with greater power comes great responsibility. Most life sciences companies are raising their security posture with AWS infrastructure and services. Organizations like Moderna and Bristol Myers Squibb have chosen AWS to run their regulated workloads.

Consulting 73

Consulting Cost-Benefit Machine Learning Optimization 73

Laminar Security

DECEMBER 13, 2023

For example, an AI system could be trained to classify emails into categories like “sensitive” or “restricted” based on patterns it has learned from a training dataset. It could be further trained to classify data into important categories such as PII, PHI and PCI, increasing efficiency in both data classification, and ultimately security.

Data-driven 119

Data-driven Machine Learning Deep Learning Risk 119