AWS Big Data

NOVEMBER 11, 2024

The IAM role ARN must be the same for both the OpenSearch Servicer sink definition and the Kinesis Data Streams source definition. You can control what data gets indexed in different indexes using the index definition in the sink.

Metadata 122

Metadata Metrics Analytics Data Processing 122

AWS Big Data

DECEMBER 4, 2024

The following are the key components and steps in the integration process: Zero-ETL extracts and loads the data into Amazon S3 , a highly scalable object storage service. The data is also registered in the Glue Data Catalog , a metadata repository. Big Data and ETL Solutions Architect, Amazon MWAA and AWS Glue ETL expert.

Data Integration 115

Data Integration Data Lake Statistics Data-driven 115

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Semi-structured data falls between the two. Data scientist skills.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

AWS Big Data

NOVEMBER 19, 2024

Pricing and availability Amazon MWAA pricing dimensions remains unchanged, and you only pay for what you use: The environment class Metadata database storage consumed Metadata database storage pricing remains the same. Over the years, he has helped multiple customers on data platform transformations across industry verticals.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

AWS Big Data

NOVEMBER 7, 2024

BladeBridge offers a comprehensive suite of tools that automate much of the complex conversion work, allowing organizations to quickly and reliably transition their data analytics capabilities to the scalable Amazon Redshift data warehouse. She is passionate about data analytics and data science.

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

AWS Big Data

DECEMBER 17, 2024

We have enhanced data sharing performance with improved metadata handling, resulting in data sharing first query execution that is up to four times faster when the data sharing producers data is being updated. Industry-leading price-performance: Amazon Redshift launches RA3.large

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management.

Marketing 109

Marketing Data Analytics Management Analytics 109

AWS Big Data

OCTOBER 25, 2023

But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. The solution integrates data in three tiers.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

NOVEMBER 6, 2024

reduces the Amazon DynamoDB cost associated with KCL by optimizing read operations on the DynamoDB table storing metadata. KCL uses DynamoDB to store metadata such as shard-worker mapping and checkpoints. Priyanka Chaudhary is a Senior Solutions Architect and data analytics specialist. Other benefits in KCL 3.0

Cost-Benefit 116

Cost-Benefit Metadata Optimization Publishing 116

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

SEPTEMBER 11, 2024

Each file arrives as a pair with a tail metadata file in CSV format containing the size and name of the file. This metadata file is later used to read source file names during processing into the staging layer. These files follow the same naming pattern, with a daily system-generated timestamp appended to each file name.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

AWS Big Data

FEBRUARY 26, 2025

In this post, we walk you through the top analytics announcements from re:Invent 2024 and explore how these innovations can help you unlock the full potential of your data. S3 Metadata is designed to automatically capture metadata from objects as they are uploaded into a bucket, and to make that metadata queryable in a read-only table.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

AWS Big Data

JUNE 7, 2023

They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue. This concept makes Iceberg extremely versatile. SparkActions.get().expireSnapshots(iceTable).expireOlderThan(TimeUnit.DAYS.toMillis(7)).execute()

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Smart Data Collective

SEPTEMBER 26, 2021

Working with massive structured and unstructured data sets can turn out to be complicated. It’s obvious that you’ll want to use big data, but it’s not so obvious how you’re going to work with it. So, let’s have a close look at some of the best strategies to work with large data sets. It’s a good idea to record metadata.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. This benchmark uses unmodified TPC-DS data schema and table relationships. He has been focusing in the big data analytics space since 2014.

Metadata 119

Metadata Statistics Broadcasting Optimization 119

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

AWS Big Data

NOVEMBER 15, 2023

You can use its built-in transformations, recipes, as well as integrations with the AWS Glue Data Catalog and Amazon Simple Storage Service (Amazon S3) to preprocess the data in your landing zone, clean it up, and send it downstream for analytical processing. For Matching conditions , choose Match all conditions.

Metadata 115

Metadata Sales Data Lake Big Data 115

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 137

Data Lake Data Processing Metadata Snapshot 137

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. It shows a call center streaming data source that sends the latest call center feed in every 15 seconds.

Management 131

Management Metadata Analytics Dashboards 131

AWS Big Data

DECEMBER 4, 2024

The post will include details on how to perform read/write data operations against Amazon S3 tables with AWS Lake Formation managing metadata and underlying data access using temporary credential vending. Analytics Specialist Solutions Architect focused on big data and analytics and AI/ML with Amazon Web Services.

Data Lake 116

Data Lake Metadata Insurance Data-driven 116

AWS Big Data

JUNE 9, 2023

Despite these capabilities, data lakes are not databases, and object storage does not provide support for ACID processing semantics, which you may require to effectively optimize and manage your data at scale across hundreds or thousands of users using a multitude of different technologies.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

Smart Data Collective

JANUARY 5, 2021

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. These are all great reasons to use big data in marketing. But for accurate modeling, you need lots of reliable data. Lead Enrichment.

B2B 144

B2B Sales Big Data Marketing 144

AWS Big Data

JULY 14, 2023

The FinAuto team built AWS Cloud Development Kit (AWS CDK), AWS CloudFormation , and API tools to maintain a metadata store that ingests from domain owner catalogs into the global catalog. This global catalog captures new or updated partitions from the data producer AWS Glue Data Catalogs.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

Data Virtualization

MARCH 21, 2019

According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard! There is not one specific.

Big Data 60

Big Data Management Data Lake Metadata 60

AWS Big Data

SEPTEMBER 7, 2023

AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. The AWS Glue crawler writes metadata to the Data Catalog by classifying the data to determine the format, schema, and associated properties of the data. Big Data Architect.

Metadata 116

Metadata Dashboards Metrics Visualization 116

AWS Big Data

OCTOBER 30, 2024

Because a CDC file can contain data for multiple tables, the job loops over the tables in a file and loads the table metadata from the source table ( RDS column names). If the CDC operation is INSERT or UPDATE, the job merges the data into the Iceberg table.

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

AWS Big Data

MAY 28, 2024

Apache Flink is a scalable, reliable, and efficient data processing framework that handles real-time streaming and batch workloads (but is most commonly used for real-time streaming). It’s the preferred choice to run big data workloads because it helps improve throughput and optimize Amazon EC2 spend.

Data Processing 119

Data Processing Cost-Benefit Metadata Optimization 119

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. This high-end data visualization makes data exploration more accessible to end-users.

Business Intelligence 138

Business Intelligence Dashboards Visualization Big Data 138

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. We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The script generates a metadata JSON file for each step.

Metadata 98

Metadata Data Lake Testing Consulting 98

Cloudera

JUNE 7, 2022

Big data is cool again. As the company who taught the world the value of big data, we always knew it would be. But this is not your grandfather’s big data. It has evolved into something new – hybrid data. The future is hybrid data, embrace it.

IT 112

IT Data Architecture Unstructured Data Big Data 112

AWS Big Data

AUGUST 13, 2024

Additionally, authorization policies can be configured for a domain unit permitting actions such as who can create projects, metadata forms, and glossaries within their domain units. Similarly, authorization policies can help organizations govern the management of organizational domains, collaboration, and metadata.

Data Governance 119

Data Governance Metadata Enterprise Sales 119

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 119

Metadata Metrics Testing Management 119

CIO Business Intelligence

MARCH 24, 2023

The program must introduce and support standardization of enterprise data. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

JUNE 10, 2024

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

Data Lake 117

Data Lake Metadata Data Warehouse Data Processing 117

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Metadata in cluster is disjoint across components.

Data Lake 101

Data Lake Cost-Benefit Metadata Big Data 101

AWS Big Data

DECEMBER 13, 2023

The AWS Glue Studio visual editor is a low-code environment that allows you to compose data transformation workflows, seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine, and inspect the schema and data results in each step of the job.

Metadata 111

Metadata Data Lake Visualization Data Quality 111