AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

Analytics Vidhya

DECEMBER 1, 2021

Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? appeared first on Analytics Vidhya.

Data Lake 328

Data Lake Data Science Publishing Software 328

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. availability. This is useful for multi-Region access, cross-Region access, disaster recovery, and more.

Data Lake 86

Data Lake Snapshot Metadata Optimization 86

AWS Big Data

FEBRUARY 24, 2023

Data lakes are a popular choice for today’s organizations to store their data around their business activities. As a best practice of a data lake design, data should be immutable once stored. A data lake built on AWS uses Amazon Simple Storage Service (Amazon S3) as its primary storage environment.

Data Lake 85

Data Lake Metadata Testing Data Warehouse 85

AWS Big Data

AUGUST 1, 2023

In the world of software engineering and development, organizations use project management tools like Atlassian Jira Cloud. Companies often take a data lake approach to their analytics, bringing data from many different systems into one place to simplify how the analytics are done. Search for the Jira Cloud connector.

Data Lake 87

Data Lake Data Transformation Cost-Benefit Data-driven 87

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

Jet Global

NOVEMBER 5, 2020

It sells a myriad of different software products, including a growing portfolio of software-as-a-service (SaaS) offerings. Option 3: Azure Data Lakes. This leads us to Microsoft’s apparent long-term strategy for D365 F&SCM reporting: Azure Data Lakes. Data lakes are not a mature technology.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

CIO Business Intelligence

SEPTEMBER 6, 2023

Specifically, organizations are contemplating Generative AI’s impact on software development. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. Generative AI has forced organizations to rethink how they work and what can and should be adjusted.

Software 119

Software Experimentation Risk Data Lake 119

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? All the while, your marketing team is relying on marketing automation or CRM software they find the most productive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

JANUARY 27, 2023

Verify all table metadata is stored in the AWS Glue Data Catalog. Consume data with Athena or Amazon EMR Trino for business analysis. Update and delete source records in Amazon RDS for MySQL and validate the reflection of the data lake tables. to configure the Flink integration with the Data Catalog.

Data Lake 63

Data Lake Metadata Business Analysis Data-driven 63

AWS Big Data

APRIL 18, 2024

is a cloud-based customer relationship management (CRM) software company building artificial intelligence (AI)-powered business applications that allow businesses to connect with their customers in new and personalized ways. The data lake consumers then use Apache Presto running on Amazon EMR cluster to perform one-time queries.

Optimization 91

Optimization Data Lake Management Key Performance Indicator 91

AWS Big Data

APRIL 30, 2024

You can create jobs that extract, transform, and load data that is stored in Amazon Simple Storage Service (Amazon S3), Amazon Redshift , and Amazon DynamoDB. Amazon Q Developer can also help you connect to third-party, software as a service (SaaS), and custom sources. XiaoRun Yu is a Software Development Engineer on the AWS Glue team.

Data Integration 107

Data Integration Data Lake Data Warehouse Software 107

Jedox

JANUARY 13, 2023

Now finance teams are looking for more efficient and flexible planning that encourages a “total company mindset,” according to the Gartner 2022 Critical Capabilities for Financial Planning Software report. This reflects Jedox’s ability to adjust data models to incorporate operational planning changes,” according to Gartner analysts.

Software 52

Software Finance Forecasting Data Lake 52

AWS Big Data

JANUARY 26, 2023

AWS Glue provides an extensible architecture that enables users with different data processing use cases. A common use case is building data lakes on Amazon Simple Storage Service (Amazon S3) using AWS Glue extract, transform, and load (ETL) jobs.

Data Lake 114

Data Lake Big Data Software Interactive 114

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. For users that require a unified view of software quality, this is unacceptable.

Software 52

Software Data Lake Testing Cost-Benefit 52

CIO Business Intelligence

DECEMBER 19, 2023

Similarly, connecting to data lakes presents both privacy and security concerns. To prepare the data stored in these lakes for analysis and use, data scientists and analysts need protected access. It provides a secure and private multi-cloud connection that supports both data lakes and AI infrastructure.

Data Lake 99

Data Lake Management Cost-Benefit Data Processing 99

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 117

Data Lake Analytics Dashboards Metrics 117

AWS Big Data

OCTOBER 20, 2023

Today, we are pleased to announce new AWS Glue connectors for Azure Blob Storage and Azure Data Lake Storage that allow you to move data bi-directionally between Azure Blob Storage, Azure Data Lake Storage, and Amazon Simple Storage Service (Amazon S3). option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 87

Data Lake Big Data Consulting Data Warehouse 87

AWS Big Data

JANUARY 12, 2024

The architecture is comprised of a number of components: Source data Data may be coming from many tens to hundreds of sources, including databases, file transfers, logs, software as a service (SaaS) applications, and more. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.

Data Lake 98

Data Lake Cost-Benefit Visualization Structured Data 98

DataKitchen

NOVEMBER 29, 2021

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. With data and tools increasingly in the cloud, data organizations are finding ways to accommodate remote work. AI Accountability.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

NOVEMBER 22, 2023

Apache Hudi is an open table format that brings database and data warehouse capabilities to data lakes. Apache Hudi helps data engineers manage complex challenges, such as managing continuously evolving datasets with transactions while maintaining query performance. Under Administration , choose Data catalog settings.

Data Lake 97

Data Lake Snapshot Metadata Optimization 97

AWS Big Data

NOVEMBER 6, 2023

You can attach an EMR Studio Workspace to an EMR cluster, and use the compute power of the EMR cluster and run data science jobs on the cluster. Data is often stored in data lakes managed by AWS Lake Formation , enabling you to apply fine-grained access control through a simple grant or revoke mechanism.

Data Lake 98

Data Lake Sales Management Testing 98

AWS Big Data

JANUARY 17, 2024

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 97

Data Lake Snapshot Big Data Data-driven 97

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. Decentralization promotes creativity and empowerment.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions.

Data Lake 107

Data Lake Management Metrics Data Warehouse 107

AWS Big Data

APRIL 6, 2023

In this post, Morningstar’s Data Lake Team Leads discuss how they utilized tag-based access control in their data lake with AWS Lake Formation and enabled similar controls in Amazon Redshift. This way, our existing data lake consumers could easily transition to Amazon Redshift.

Data Warehouse 87

Data Warehouse Data Lake Management Data-driven 87

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 104

Data Lake Data Warehouse Management Risk 104

CIO Business Intelligence

NOVEMBER 29, 2023

Only production software and machines that can’t have latency remain on site. In the future, we’ll connect all production and application servers to this and build our own data lake,” he says, adding that the next step will be to use AI there to learn from their own data.

IT 102

IT Data Lake Strategy IoT 102

AWS Big Data

JULY 20, 2023

Because Apache Hive was built on top of Apache Hadoop, many organizations have been using the software from the time they have been using Hadoop for big data processing. Also, Hive metastore provides flexible integration with many other open-source big data software like Apache HBase, Apache Spark, Presto, and Apache Impala.

Data Lake 82

Data Lake Metadata Data Processing Big Data 82

CIO Business Intelligence

MAY 23, 2022

These were products built for internal use but now software customers are asking for it so that has become a revenue stream for us,” Dave says, noting this internal shift to sustainability is enabling his customers to move away from gasoline. But for Dave, the key ingredient for innovation at McDermott is data. Vagesh Dave.

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

CIO Business Intelligence

MARCH 29, 2024

Modernizing data operations CIOs like Woodring know well that the quality of an AI model depends in large part on the quality of the data involved — and how that data is injected from databases, data warehouses, cloud data lakes, and the like into large language models.

Data Lake 122

Data Lake Machine Learning Data Warehouse Unstructured Data 122

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

AWS Big Data

JULY 3, 2023

Terminology Let’s first discuss some of the terminology used in this post: Research data lake on Amazon S3 – A data lake is a large, centralized repository that allows you to manage all your structured and unstructured data at any scale. This is where the tagging feature in Apache Iceberg comes in handy.

Snapshot 87

Snapshot Data Lake Testing Strategy 87

AWS Big Data

FEBRUARY 27, 2024

This modernization involved transitioning to a software as a service (SaaS) based loan origination and core lending platforms. Because these new systems produced vast amounts of data, the challenge of ensuring a single source of truth for all data consumers emerged.

Data-driven 98

Data-driven Data Lake Data Quality Data Governance 98

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 114

Optimization Snapshot Data Lake Metadata 114

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 93

Data Lake Data Warehouse Data-driven B2B 93