AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 71

Data Lake Cost-Benefit Dashboards Data Warehouse 71

AWS Big Data

AUGUST 3, 2023

Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance. For more information, see Changing the default settings for your data lake.

Data Lake 82

Data Lake Visualization Dashboards Insurance 82

DataKitchen

DECEMBER 7, 2021

Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean. This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. A distributed data mesh is a better choice. How did we get here?

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

Publishing 87

Publishing Dashboards Visualization Management 87

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2022 , we talked about the enhancements we had done to these services. Bien intégré!

Data Lake 92

Data Lake Metadata Data Governance Statistics 92

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 76

Metadata Data Lake Data Processing Data-driven 76

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. Starting with Amazon EMR release 6.7.0,

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 93

Data Quality Data Governance Data Lake Testing 93

AWS Big Data

MARCH 29, 2024

Publish the QuickSight dashboard When the analysis is ready, complete the following steps to publish the dashboard: Choose PUBLISH. Select Publish new dashboard as , and enter GlueObservabilityDashboard. Choose Publish dashboard. Then you can view and share the dashboard.

Metrics 107

Metrics Visualization Dashboards Interactive 107

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

Cloudera

APRIL 22, 2021

Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects. Cloudera will publish separate blog posts with results of performance benchmarks.

Data Lake 100

Data Lake Cost-Benefit Testing Metadata 100

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. Let’s say that this company is located in Europe and the data product must comply with the GDPR.

Data Lake 104

Data Lake Management Metrics Data Warehouse 104

AWS Big Data

MAY 1, 2024

For those reasons, it was extremely difficult for Fujitsu to manage and utilize data at scale with Excel. Solution overview OneData defines three personas: Publisher – This role includes the organizational and management team of systems that serve as data sources. Promote and expand the use of databases. Each role has sub-roles.

Dashboards 112

Dashboards Data-driven Publishing Cost-Benefit 112

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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 87

Data Warehouse Data Lake Cost-Benefit Structured Data 87

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical.

Data Quality 63

Data Quality Data Lake Data Warehouse Data-driven 63

AWS Big Data

AUGUST 16, 2023

Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Most businesses store their critical data in a data lake, where you can bring data from various sources to a centralized storage.

Data Lake 73

Data Lake Metadata Testing Snapshot 73

Jet Global

NOVEMBER 21, 2023

Continued global digitalization is creating huge quantities of data for modern organizations. To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. Since then, technology has improved in leaps and bounds and data management has become more complicated.

Data Lake 52

Data Lake Data Warehouse Reporting Enterprise 52

AWS Big Data

MARCH 21, 2024

For your application’s low-latency and real-time data access, you can use Lambda and DynamoDB. For longer-term data storage, you can use managed serverless connector service Amazon Data Firehose to send data to your data lake. You can use the same data to train ML models.

Data Lake 98

Data Lake Management Modeling Optimization 98

AWS Big Data

JULY 14, 2023

This enabled producers to publish data products that were curated and authoritative assets for their domain. For example, the AR team created and governed their cash application dataset in their AWS account AWS Glue Data Catalog. The global catalog The basic building block of our business-focused solutions are data products.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data discoverability. Yet another decade passed.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 102

Metadata Data Lake Publishing Data Governance 102

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects.

Software 52

Software Data Lake Testing Cost-Benefit 52

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. Install NPM.

Data Lake 78

Data Lake Testing Interactive Unstructured Data 78

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. Omid Vahdaty, CTO of Jutomate Ltd.,

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

APRIL 8, 2024

Amazon DataZone registers the location of these tables in Lake Formation using hybrid access mode, which allows managing permissions on AWS Glue tables through Lake Formation, while continuing to maintain any existing IAM permissions. Amazon DataZone enables you to publish any type of asset in the business data catalog.

Finance 79

Finance Sales Publishing Metadata 79

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 55

Metadata Data Lake Machine Learning Big Data 55

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 70

Data Quality Data Lake Visualization Data-driven 70

AWS Big Data

JUNE 6, 2023

You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions. Choose Save ruleset.

Data Quality 77

Data Quality Data Lake Data-driven Metrics 77

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). SNS supports push messaging to mobile devices.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

AWS Big Data

AUGUST 2, 2023

The Economic Input-Output Life Cycle Assessment (EIO LCA) method is a spend-based method that combines expenditure data with monetary-based emission factors to estimate the emissions produced. The emission factors are published by the U.S. Environment Protection Agency (EPA) and other peer-reviewed academic and government sources.

Data Lake 74

Data Lake Measurement Visualization Data Architecture 74

Cloudera

NOVEMBER 18, 2020

We also celebrated the first-ever winner of the Data Impact Achievement Award — a new award category that recognizes one customer who has consistently achieved transformation across their business, pursuing a diverse set of use cases and creating a culture of data-driven innovation. . Data Impact Achievement Award.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

erwin

AUGUST 31, 2023

1960s – Pre-Relational Era: IBM develops the Information Management System (IMS), a hierarchical database management system (DBMS), which organized data in a tree-like structure. Codd, a computer scientist at IBM, publishes a groundbreaking paper titled “A Relational Model of Data for Large Shared Data Banks.”

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

AWS Big Data

MARCH 29, 2024

Our services consuming this data inherit the same resilience from Amazon MSK. If our backend ingestion services face disruptions, no event is lost, because Kafka retains all published messages. Teams could efficiently consume events published by others, offering new capabilities more rapidly while reducing cross-team dependencies.

Cost-Benefit 93

Cost-Benefit Data-driven Metrics Management 93

IBM Big Data Hub

APRIL 27, 2022

With data ownership decentralization, data owners can create data products for their respective domains, meaning data consumers, both data scientist and business users, can use a combination of these data products for data analytics and data science.

Management 81

Management Metadata Data Architecture Data Lake 81