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 77

Data Lake Metadata Data Processing Big Data 77

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 112

Data Lake Analytics Dashboards Metrics 112

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 83

Data Lake Metadata Management Data Processing 83

In(tegrate) the Clouds

MAY 1, 2016

SnapLogic published Eight Data Management Requirements for the Enterprise Data Lake. They are: Storage and Data Formats. The company also recently hosted a webinar on Democratizing the Data Lake with Constellation Research and published 2 whitepapers from Mark Madsen. Ingest and Delivery.

Data Lake 40

Data Lake Enterprise Management Metadata 40

AWS Big Data

MARCH 29, 2024

Typically, you have multiple accounts to manage and run resources for your data pipeline. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. He is passionate about building scalable distributed systems for big data processing, analytics, and management.

Metrics 104

Metrics Visualization Dashboards Interactive 104

Smart Data Collective

OCTOBER 26, 2019

While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Big Data Storage Concerns. Conclusion.

Big Data 45

Big Data Data Lake Cost-Benefit Measurement 45

AWS Big Data

NOVEMBER 8, 2023

They recently needed to do a monthly load of 140 TB of uncompressed healthcare claims data in under 24 hours after receiving it to provide analysts and data scientists with up-to-date information on a patient’s healthcare journey. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 74

Data Lake Data Warehouse Cost-Benefit Optimization 74

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. Solution overview For our example use case, a customer uses Amazon EMR for data processing and Iceberg format for the transactional data. Choose Create.

Data Lake 75

Data Lake Metadata Snapshot Management 75

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 82

Data Lake Data-driven Management Data Architecture 82

IBM Big Data Hub

MAY 19, 2023

Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center. TDC Digital is excited about its plans to host its IT infrastructure in IBM data centers, offering better scalability, performance and security.

Unstructured Data 81

Unstructured Data Data Processing Manufacturing Data Lake 81

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 77

Data Lake Data Analytics Analytics Data Processing 77

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. This enables data-driven decision-making across the organization.

Data-driven 93

Data-driven Data Lake Data Quality Data Governance 93

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

AWS Big Data

DECEMBER 13, 2023

For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users. BMS’s EDLS platform hosts over 5,000 jobs and is growing at 15% YoY (year over year). About the authors Sivaprasad Mahamkali is a Senior Streaming Data Engineer at AWS Professional Services.

Metadata 87

Metadata Data Lake Visualization Data Transformation 87

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. Amazon EMR empowers you to create, operate, and scale big data frameworks such as Apache Spark quickly and cost-effectively. AWS Glue, and Athena.

Metrics 93

Metrics Statistics Testing Data Lake 93

AWS Big Data

JULY 14, 2023

The workflow contains the following steps: Data is saved by the producer in their own Amazon Simple Storage Service (Amazon S3) buckets. Data source locations hosted by the producer are created within the producer’s AWS Glue Data Catalog. Data source locations are registered with Lake Formation.

Finance 80

Finance Metadata Big Data Recreation/Entertainment 80

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

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 101

Data Lake Visualization Optimization Interactive 101

AWS Big Data

JUNE 8, 2023

For Host , enter events.PagerDuty.com. At AWS, he is focused on Data Lake implementations, and Search, Analytical workloads using Amazon OpenSearch Service. Vivek Shrivastava is a Principal Data Architect, Data Lake in AWS Professional Services. Enter a name for the channel and an optional description.

Data Lake 76

Data Lake Dashboards Metrics Testing 76

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 73

Data Lake Testing Interactive Unstructured Data 73

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. About the Authors Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

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 101

Statistics Data Lake Optimization Data-driven 101

Smart Data Collective

FEBRUARY 20, 2022

Data storage databases. Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Well, let’s find out. Artificial intelligence (AI). Easy to use.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

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 66

Data Quality Data Lake Visualization Data-driven 66

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. Arun A K is a Big Data Specialist Solutions Architect at AWS.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

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.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

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 94

Analytics Data Lake Management Enterprise 94

AWS Big Data

MARCH 20, 2023

The data from the Kinesis data stream is consumed by two applications: A Spark streaming application on Amazon EMR is used to write data from the Kinesis data stream to a data lake hosted on Amazon Simple Storage Service (Amazon S3) in a partitioned way.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

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. models are trained on IBM’s curated, enterprise-focused data lake, on our custom-designed cloud-native AI supercomputer, Vela. All watsonx.ai

Enterprise 134

Enterprise Technology Modeling Cost-Benefit 134

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

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 85

Data-driven Advertising Metadata Data Architecture 85

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 97

Data Warehouse Snapshot Data Processing Management 97

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 87

Data-driven Data Lake Machine Learning Cost-Benefit 87

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 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

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. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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. There are multiple tables related to customers and order data in the RDS database.

Metadata 118

Metadata Visualization Data Lake Data-driven 118

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). For Spark jobs running on Kubernetes, the Spark UI is hosted on the driver pod and its access is restricted to the internal network of Kubernetes.

Optimization 68

Optimization Data Lake Cost-Benefit Management 68