CIO Business Intelligence

APRIL 25, 2024

For instance, a Data Cloud-triggered flow could update an account manager in Slack when shipments in an external data lake are marked as delayed. Sharing Customer 360 insights back without data replication.

Data Integration 119

Data Integration Data Lake Metadata Data Warehouse 119

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 89

Data Lake Snapshot Big Data Data-driven 89

Corinium

APRIL 9, 2019

Download the Report. The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?”

Unstructured Data 150

Unstructured Data Data Lake Big Data Data Collection 150

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. On the AWS Glue console, choose Jobs in the navigation plane.

Data Lake 107

Data Lake Big Data Software Interactive 107

AWS Big Data

JANUARY 24, 2024

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. For more information, refer to the Delete Object permissions section in Amazon S3 actions.

Snapshot 96

Snapshot Data Lake Metadata Optimization 96

AWS Big Data

JULY 20, 2023

Also, Hive metastore provides flexible integration with many other open-source big data software like Apache HBase, Apache Spark, Presto, and Apache Impala. A metastore is a critical part of a data lake, and having this information available, wherever it resides, is important. Download the sample data to the S3 bucket.

Data Lake 76

Data Lake Metadata Data Processing Big Data 76

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 97

Statistics Data Lake Optimization Data-driven 97

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. YOUR-REGION}.amazonaws.com/{STAGE}

Data Lake 72

Data Lake Testing Interactive Unstructured Data 72

CIO Business Intelligence

SEPTEMBER 7, 2023

You can use AI and machine learning across security, networking and user experience management, all in the same data lake. In addition, Prisma SASE’s multidomain analytics and advanced data correlation – across endpoints, applications, networks and security policies – make it quick and easy to identify network anomalies.

IT 111

IT Data Lake Cost-Benefit Digital Transformation 111

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 117

Data Lake Testing Big Data Management 117

AWS Big Data

AUGUST 31, 2023

Amazon Redshift enables you to directly access data stored in Amazon Simple Storage Service (Amazon S3) using SQL queries and join data across your data warehouse and data lake. With Amazon Redshift, you can query the data in your S3 data lake using a central AWS Glue metastore from your Redshift data warehouse.

Data Lake 88

Data Lake Data Warehouse Metadata Data Architecture 88

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

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure.

Data Lake 109

Data Lake Data Warehouse Visualization Snapshot 109

Cloudera

APRIL 4, 2022

The usage of data lakes and automation are helping facilitate the data sharing and collaboration across the healthcare ecosystem. Visit the Cloudera website here to download your copy of the Everest Group research report. . Now is the time to reflect and learn from the events of the past two years.

Data Lake 80

Data Lake Digital Transformation Manufacturing Sales 80

BI-Survey

APRIL 3, 2019

Hadoop and Data Lakes Report. Request the free report now × Hadoop and Data Lakes. By downloading the free report you agree to subscribe to our newsletter. Use Cases, Benefits and Limitations. Please enter your contact details below to get your free copy of the report.

Testing 40

Testing Data Lake Reporting 40

Cloudera

AUGUST 18, 2021

Data processed at the edge or in the cloud, for instance, is not effective if it follows the traditional lifecycle of “ingest, process, land, and analyze.” If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming.

Data Lake 90

Data Lake IoT Internet of Things Data-driven 90

AWS Big Data

APRIL 4, 2024

In the depicted architecture and our typical data lake use case, our data either resides n Amazon S3 or is migrated from on premises to Amazon S3 using replication tools such as AWS DataSync or AWS Database Migration Service (AWS DMS). It also downloads sample data files to use in the next step.

Data Quality 60

Data Quality Data Lake Data Warehouse Data-driven 60

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 68

Data Lake Testing Snapshot Sales 68

BI-Survey

DECEMBER 17, 2018

A lack of professional (54 percent) and technical (50 percent) know-how top the list of challenges to Hadoop implementations in BARC’s ‘Hadoop and Data Lakes’ survey. A lack of know-how to use new findings from data research (50 percent) was more frequently viewed as a challenge in Europe.

Data Lake 40

Data Lake Manufacturing Finance Reporting 40

AWS Big Data

APRIL 20, 2023

For sales across multiple markets, the product sales data such as orders, transactions, and shipment data is available on Amazon S3 in the data lake. The data engineering team can use Apache Spark with Amazon EMR or AWS Glue to analyze this data in Amazon S3.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

Jet Global

OCTOBER 30, 2020

Introducing Data Lakes. Microsoft’s next option is called Azure Data Lake Services (ADLS), and it seems to be the company’s favored long-term solution to its D365 F&SCM reporting challenge. Data lake” is a generic term that refers to a fairly new development in the world of big data analytics.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Cloudera

JANUARY 19, 2022

Cloudera Data Platform (CDP) scored among the top 10 vendors on all four Analytical Use Cases — Data Warehouse, Logical Data Warehouse, Data Lake and Operational Intelligence in the Critical Capabilities for Cloud Database Management Systems for Analytics Use Cases.

Reporting 90

Reporting Data Warehouse Data Lake Machine Learning 90

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 68

Analytics Data Warehouse Data Lake Metadata 68

BI-Survey

OCTOBER 26, 2018

Hadoop and Data Lakes Report. Request the free report now × Hadoop and Data Lakes. By downloading the free report you agree to subscribe to our newsletter. Hadoop can be – but is not necessarily – less expensive, depending on the use case. Use Cases, Benefits and Limitations.

Technology 40

Technology Data Lake Cost-Benefit Data-driven 40

Cloudera

AUGUST 28, 2020

On the B2C side, this means faster download speeds, lower latency and that consumers can download ultra-high-definition video on the go. Typically, 5G has the potential to offer speeds of between 1-10 gigs per second which is approximately 20x to 30x faster than what 4G technology offers. .

IoT 111

IoT Machine Learning B2B Testing 111

AWS Big Data

JANUARY 30, 2023

Copy the TPC-DS source data as input to your S3 bucket. Alternatively, you can download a pre-built spark-benchmark-assembly-3.3.0.jar If you see any error messages, double-check the config file values, especially the Spark and Hadoop versions and the attributes of download-source and the AMI. jar if you want a Spark 3.3.0-based

Testing 65

Testing Data Lake Big Data Optimization 65

Cloudera

APRIL 29, 2021

You start by right-clicking on the process group and selecting “Download flow definition” – that’s how you can import your flows in the DataFlow service and run NiFi on Kubernetes! Cloudera commits to provide you with the best options to move data from any system to any other system. NiFi’s components.

Metrics 73

Metrics Data Lake Dashboards Reporting 73

CIO Business Intelligence

OCTOBER 25, 2023

The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data. Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users.

Enterprise 133

Enterprise Risk Manufacturing Finance 133

Cloudera

JUNE 5, 2023

RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Many developers use DataFlow to filter/enrich streams and ingest into cloud data lakes and warehouses where the ability to process and route anywhere makes DataFlow very effective. His submission post can be found here.

Testing 76

Testing Data Lake Data Processing IT 76

AWS Big Data

FEBRUARY 8, 2023

For more information, refer to Download and Installation of NW RFC SDK. XXX.XX.XXX mkdir aws_to_sap sudo yum install git git clone [link] Set up the SAP SDK on an Amazon EC2 machine To set up the SAP SDK, complete the following steps: Download the nwrfcsdk.zip file from a licensed SAP source to your local machine. pem" ec2-user@10.XXX.XX.XXX

Testing 70

Testing Data Integration Data Lake Enterprise 70

Cloudera

NOVEMBER 10, 2020

We have evolved with our users, from early-on Hadoop hackers needing quick access to data in the Data Lake, to a much more sophisticated SQL tool. HUE comes with a variety of collaboration options – download query files so they can be uploaded to git for versioning of projects, ability to share queries among users.

Visualization 110

Visualization Optimization Unstructured Data Dashboards 110

AWS Big Data

FEBRUARY 6, 2023

Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Cloudera

DECEMBER 14, 2017

Improved support for cloud storage systems like S3 (with S3Guard ), Microsoft Azure Data Lake, and Aliyun OSS. You can download the new release from the official release page. YARN Timeline Service v2, which improves the scalability, reliability, and usability of the existing Timeline Service. See the Apache Hadoop 3.0.0

Data Lake 43

Data Lake Software Management 43

Alation

FEBRUARY 13, 2020

Data curation is important in today’s world of data sharing and self-service analytics, but I think it is a frequently misused term. When speaking and consulting, I often hear people refer to data in their data lakes and data warehouses as curated data, believing that it is curated because it is stored as shareable data.

Metadata 52

Metadata Data Warehouse Data Lake Data Governance 52

Alation

FEBRUARY 13, 2020

Figure 1 illustrates the typical metadata subjects contained in a data catalog. Figure 1 – Data Catalog Metadata Subjects. Datasets are the files and tables that data workers need to find and access. They may reside in a data lake, warehouse, master data repository, or any other shared data resource.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Cloudera

JUNE 24, 2021

Deploy the edge node Data Hub cluster in the same environment as the COD instance to ensure that the security groups and data ingress rules that apply to the COD instance must also apply to the edge node. From the Cloudera Management Console, click Data Hub Clusters. Click Create Data Hub. Select the Cluster Definition.

Data Lake 55

Data Lake Interactive Management IT 55