AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 120

Data Lake Analytics Dashboards Metrics 120

AWS Big Data

NOVEMBER 21, 2024

About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. Paul Villena is an Analytics Solutions Architect in AWS with expertise in building modern data and analytics solutions to drive business value. This feature is available today in all AWS Glue supported AWS Regions. Choose your S3 bucket.

Optimization 81

Optimization Snapshot Metadata Software 81

AWS Big Data

APRIL 30, 2024

Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. Configure an IAM role to interact with Amazon Q.

Data Integration 111

Data Integration Data Lake Data Warehouse Software 111

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 109

Data Lake Data Warehouse Risk Management 109

AWS Big Data

AUGUST 5, 2024

These business units have varying landscapes, where a data lake is managed by Amazon Simple Storage Service (Amazon S3) and analytics workloads are run on Amazon Redshift , a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Lake 85

Data Lake Finance Sales Management 85

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. For IAM role , choose a Lake Formation user-defined role.

Management 98

Management Data Lake Sales Data Warehouse 98

AWS Big Data

JUNE 26, 2024

New feature: Custom AWS service blueprints Previously, Amazon DataZone provided default blueprints that created AWS resources required for data lake, data warehouse, and machine learning use cases. You can build projects and subscribe to both unstructured and structured data assets within the Amazon DataZone portal.

Data Lake 98

Data Lake Data Warehouse Unstructured Data Data Governance 98

AWS Big Data

NOVEMBER 11, 2024

Sesha Sanjana Mylavarapu is an Associate Data Lake Consultant at AWS Professional Services. She specializes in cloud-based data management and collaborates with enterprise clients to design and implement scalable data lakes. For instructions, see Creating an IAM role (console).

Snapshot 92

Snapshot Strategy Dashboards Data Lake 92

AWS Big Data

NOVEMBER 14, 2024

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures.

Metadata 100

Metadata Data Warehouse Big Data Data Lake 100

AWS Big Data

SEPTEMBER 26, 2024

In this blog post, there are three personas: Data Lake Administrator (with admin level access) User Silver from the Data Engineering group User Lead Auditor from the Auditor group. You will see how different personas in an organization can access the data without the need to modify their existing enterprise entitlements.

Data Governance 100

Data Governance Enterprise Management Data Lake 100

AWS Big Data

APRIL 26, 2024

Set up EMR Studio In this step, we demonstrate the actions needed from the data lake administrator to set up EMR Studio enabled for trusted identity propagation and with IAM Identity Center integration. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane.

Analytics 104

Analytics Data Lake Management Enterprise 104

AWS Big Data

OCTOBER 30, 2024

Users can begin ingesting data to Redshift from Amazon S3 with simple SQL commands and gain access to the most up-to-date data without the need for third-party tools or custom implementation. He has worked with building data warehouses and big data solutions for over 15+ years.

Data Warehouse 78

Data Warehouse Sales Data Lake Recreation/Entertainment 78

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 111

Data Lake Visualization Optimization Interactive 111

AWS Big Data

AUGUST 27, 2024

Amazon EMR on EC2 is a managed service that makes it straightforward to run big data processing and analytics workloads on AWS. With Amazon EMR, you can take advantage of the power of these big data tools to process, analyze, and gain valuable business intelligence from vast amounts of data.

Metrics 84

Metrics Dashboards Data Lake Optimization 84

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. Attach the AWS managed policy GlueServiceRole. Attach the following policy to the role.

Analytics 104

Analytics IT Data Lake Visualization 104

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Overlapping with the above, from around 2012, I began to get involved in also designing and implementing Big Data Architectures; initially for narrow purposes and later Data Lakes spanning entire enterprises.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team.

Data Quality 98

Data Quality Measurement Testing Visualization 98

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities. Choose Create policy.

Insurance 81

Insurance Data Lake Data-driven Management 81

AWS Big Data

JUNE 13, 2023

Vamsi Bhadriraju is a Data Architect at AWS. He works closely with enterprise customers to build data lakes and analytical applications on the AWS Cloud. Srikanth Baheti is a Specialized World Wide Principal Solutions Architect for Amazon QuickSight.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

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. Unless, of course, the rest of their data also resides in the Google Cloud. The Data Science teams also use this data for churn prediction and CLTV modeling.

Analytics 59

Analytics Data Lake Testing Optimization 59

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 82

Metadata Testing Data Lake Consulting 82

AWS Big Data

JULY 25, 2024

AWS Data Pipeline helps customers automate the movement and transformation of data. With Data Pipeline, customers can define data-driven workflows, so that tasks can be dependent on the successful completion of previous tasks. You can visually create, run, and monitor ETL pipelines to load data into your data lakes.

Visualization 95

Visualization Management Data Integration Testing 95

AWS Big Data

APRIL 20, 2023

For sales across multiple markets, the product sales data such as orders, transactions, and shipment data is available on Amazon S3 in the data lake. The data engineering team can use Apache Spark with Amazon EMR or AWS Glue to analyze this data in Amazon S3. enableHiveSupport().getOrCreate()

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

AWS Big Data

JANUARY 22, 2024

Users can also raise requests to producers to improve the way the data is presented or to enrich the data with new data points for generating a higher business value. At the same time, each team can also map other catalogs to their own account and use their own data, which they produce along with the data from other accounts.

Data-driven 94

Data-driven Advertising Metadata Data Architecture 94

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

AUGUST 28, 2023

Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake. For more information, refer to Lifecycle management in Security Lake. Review the details and create the data lake. Choose Next. Additionally, the principal must have permission to pass the pipeline role to OpenSearch Ingestion.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

DECEMBER 13, 2023

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. We deploy Debezium MySQL source Kafka connector on Amazon MSK Connect.

Data Warehouse 107

Data Warehouse Snapshot Data Processing Internet of Things 107

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). We keep feeding the monster data. the flywheel effect.

Data Governance 84

Data Governance Machine Learning Metadata Data Science 84

AWS Big Data

APRIL 28, 2023

In this example, the analytics tool accesses the data lake on Amazon Simple Storage Service (Amazon S3) through Athena queries. As the data mesh pattern expands across domains covering more downstream services, we need a mechanism to keep IdPs and IAM role trusts continuously updated.

Data Governance 72

Data Governance Management Data-driven Data Lake 72

AWS Big Data

NOVEMBER 19, 2024

Download the code zip bundle for the Lambda function used to populate the data lake data ( datalake-population-function.zip ). For s3KeyLambdaDataPopulationCode , enter the Amazon S3 location containing the code zip bundle for the Lambda function used to populate the data lake data ( datalake-population-function.zip ).

Data Lake 78

Data Lake Metadata Testing Data Processing 78

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

AWS Big Data

JULY 10, 2024

To learn more about using the interactive data preparation authoring experience in AWS Glue Studio, check out the following video and read the AWS News Blog. About the Authors Chiho Sugimoto is a Cloud Support Engineer on the AWS Big Data Support team. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Interactive 101

Interactive Data Integration Visualization Statistics 101

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 91

Machine Learning Metrics Big Data Management 91

AWS Big Data

DECEMBER 18, 2023

Solution overview One of the common functionalities involved in data pipelines is extracting data from multiple data sources and exporting it to a data lake or synchronizing the data to another database.

Metadata 123

Metadata Visualization Data Lake Data-driven 123

Domino Data Lab

AUGUST 8, 2019

Social science research—which produces outcomes such as guiding government policies — tends to use confidential data about people: medical histories, home addresses, family details, gender, sexual practices, mental health issues, police records, details you probably wouldn’t tell anyone else but your therapist, and so on. Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

AWS Big Data

JULY 28, 2023

Amazon Redshift now makes it easier for you to run queries in AWS data lakes by automatically mounting the AWS Glue Data Catalog. You no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog. There are additional changes required in IAM policy.

Data Lake 69

Data Lake Data Governance Data Warehouse Modeling 69