AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 98

Data Lake Data Analytics Analytics Data Processing 98

AWS Big Data

AUGUST 3, 2023

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. For example, we are using a data lake administrator role called LF-Admin.

Data Lake 98

Data Lake Metadata Management Data Processing 98

AWS Big Data

JULY 20, 2023

The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table. Therefore, organizations have come to host huge volumes of metadata of their structured datasets in the Hive metastore.

Data Lake 98

Data Lake Metadata Data Processing Big Data 98

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Note that a managed data asset is an asset for which Amazon DataZone can manage permissions.

Metadata 104

Metadata Data Lake Data Processing Data-driven 104

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 97

Data Lake Testing Interactive Unstructured Data 97

AWS Big Data

AUGUST 19, 2024

This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC. For Data sources , search for and select Snowflake. Choose Create connection. Choose Next.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

AWS Big Data

MARCH 27, 2023

Data lakes have come a long way, and there’s been tremendous innovation in this space. Today’s modern data lakes are cloud native, work with multiple data types, and make this data easily available to diverse stakeholders across the business. In the navigation pane, under Data catalog , choose Settings.

Data Lake 98

Data Lake Data-driven Management Data Architecture 98

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 124

Data Lake Visualization Optimization Interactive 124

AWS Big Data

AUGUST 16, 2023

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. For more details, refer to Creating Apache Iceberg tables. The customer wants to make product data accessible to analyst personas for interactive analysis using Athena.

Data Lake 98

Data Lake Metadata Snapshot Management 98

AWS Big Data

JUNE 6, 2023

It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines. Data quality at rest focuses on validating the data stored in data lakes, databases, or data warehouses. It ensures that the data meets specific quality standards before it is consumed.

Data Quality 93

Data Quality Data Lake Visualization Data-driven 93

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 129

Statistics Data Lake Optimization Data-driven 129

AWS Big Data

JUNE 8, 2023

For instructions, refer to Creating and managing Amazon OpenSearch Service domains. For Host , enter events.PagerDuty.com. For more information about anomaly detection and alerts in OpenSearch Service, refer to Anomaly Detection in Amazon OpenSearch and Configuring Alerts in Amazon OpenSearch. For Method , choose POST.

Data Lake 98

Data Lake Dashboards Metrics Testing 98

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. If Lake Formation is not already enabled, refer to Getting started with Lake Formation.

Analytics 115

Analytics Data Lake Management Enterprise 115

AWS Big Data

MAY 30, 2024

Amazon Redshift is 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. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 114

Data Warehouse Data Lake Cost-Benefit Structured Data 114

AWS Big Data

JUNE 27, 2024

For additional details, refer to Automated snapshots. For additional details, refer to Manual snapshots. Amazon Redshift integrates with AWS Backup to help you centralize and automate data protection across all your AWS services, in the cloud, and on premises. This can result in recovery times between 10–60 minutes.

Snapshot 92

Snapshot Data Warehouse Data Processing Strategy 92

AWS Big Data

AUGUST 27, 2024

Refer to How do I set up a NAT gateway for a private subnet in Amazon VPC? For more information, refer to Prerequisites. For more information, refer to Storing database credentials in AWS Secrets Manager. For instructions to set up AWS Cloud9, refer to Getting started: basic tutorials for AWS Cloud9. manylinux2014_x86_64.whl

Metrics 104

Metrics Dashboards Data Lake Optimization 104

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Slate refers to a family of encoder-only (RoBERTa-based) models, which while not generative, are fast and effective for many enterprise NLP tasks. All watsonx.ai

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. with Apache Spark version 3.3.0)

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

AWS Big Data

JULY 17, 2024

In scenarios where a pipeline ingests data from multiple topics, the topic with the highest number of partitions should be used as a reference to configure the maximum OCUs. sink: - opensearch: # Provide an AWS OpenSearch Service domain endpoint hosts: [ "[link]. > region: " >" msk: # Provide the MSK ARN.

Analytics 115

Analytics IoT Dashboards Data Lake 115

AWS Big Data

FEBRUARY 16, 2023

For more details, refer to Amazon QuickSight resource type reference. In this post, we show how to automate the deployment of a QuickSight analysis connecting to an Amazon Redshift data warehouse with a CloudFormation template. For instructions, refer to Authorizing connections from Amazon QuickSight to Amazon Redshift clusters.

Data Warehouse 98

Data Warehouse Sales Visualization Data Processing 98

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables. example.com:9092,broker-2.example.com:9092'

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

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. This solution uses Amazon Aurora MySQL hosting the example database salesdb.

Data Warehouse 116

Data Warehouse Snapshot Data Processing Internet of Things 116

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 110

Enterprise Data Warehouse Snapshot Cost-Benefit 110

AWS Big Data

JUNE 6, 2023

For instructions, refer to Installing or updating the latest version of the AWS CLI. For instructions, refer to Configuration and credential file settings. Also, note that we are using data-team-a as a namespace and emr-job-execution-sa as a service account, which we created in the previous step.

Optimization 94

Optimization Data Lake Cost-Benefit Management 94

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

AWS Big Data

MARCH 6, 2024

The account on the right hosts the pseudonymization service, which you can deploy using the instructions provided in the Part 1 of this series. For an overview of how to build an ACID compliant data lake using Iceberg, refer to Build a high-performance, ACID compliant, evolving data lake using Apache Iceberg on Amazon EMR.

Metrics 115

Metrics Statistics Testing Data Lake 115

AWS Big Data

MARCH 26, 2024

It is prudent to consolidate this data into a single customer view, serving as a primary reference for downstream applications, ranging from ecommerce platforms to CRM systems. This consolidated view acts as a liaison between the data platform and customer-centric applications.

Data Strategy 94

Data Strategy Strategy Data Warehouse Prescriptive Analytics 94

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. This could be your data lake or application S3 bucket.

Reporting 98

Reporting Data Lake Management Optimization 98

Data Virtualization

SEPTEMBER 23, 2020

I’m referring not only to our technology partners, but also to our cloud partners that host the Denodo Platform, Denodo is a very partner-friendly company, and here I’d like to share some thoughts about how Denodo works with our partners.

Strategy 52

Strategy Data Processing Technology Digital Transformation 52

AWS Big Data

AUGUST 1, 2024

Depending on your enterprise’s culture and goals, your migration pattern of a legacy multi-tenant data platform to Amazon Redshift could use one of the following strategies: Leapfrog strategy – In this strategy, you move to an AWS modern data architecture and migrate one tenant at a time. Vijay Bagur is a Sr. Technical Account Manager.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 116

Data-driven Advertising Metadata Data Architecture 116

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 119

Management Metrics Cost-Benefit Data Lake 119

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. For more information, refer to Configuring ongoing data replication.

Data Warehouse 110

Data Warehouse Data Processing Data Lake Management 110

CIO Business Intelligence

AUGUST 14, 2024

Start where your data is Using your own enterprise data is the major differentiator from open access gen AI chat tools, so it makes sense to start with the provider already hosting your enterprise data. Walker refers to “guided play sessions” and users were encouraged to share what worked with their peers.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

AWS Big Data

MARCH 20, 2023

Top line revenue refers to the total value of sales of an organization’s services or products. The data from the S3 data lake is used for batch processing and analytics through Amazon EMR and Amazon Redshift. Operational dashboards are hosted on Grafana integrated with Druid.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Domino Data Lab

APRIL 3, 2019

“Flashpoint” (2018) – GDPR went into effect, plus major data blunders happened seemingly everywhere. Fun fact : I co-founded an e-commerce company (realistically, a mail-order catalog hosted online) in December 1992 using one of those internetworking applications called Gopher , which was vaguely popular at the time. Upcoming Events.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84