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 81

Data Lake Visualization Dashboards Insurance 81

CIO Business Intelligence

OCTOBER 9, 2024

However, this enthusiasm may be tempered by a host of challenges and risks stemming from scaling GenAI. As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls.

Strategy 142

Strategy Modeling Management Data Lake 142

CIO Business Intelligence

NOVEMBER 19, 2024

Microsoft announced a host of additions to its Microsoft Fabric data analytics platform at Microsoft Ignite 2024 in Chicago on Tuesday, including Fabric Databases.

Data Lake 69

Data Lake Data Processing Optimization Management 69

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 81

Data Lake Metadata Data Processing Big Data 81

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 118

Data Lake Analytics Dashboards Metrics 118

AWS Big Data

OCTOBER 29, 2024

This led to inefficiencies in data governance and access control. AWS Lake Formation is a service that streamlines and centralizes the data lake creation and management process. The Solution: How BMW CDH solved data duplication The CDH is a company-wide data lake built on Amazon Simple Storage Service (Amazon S3).

Data Lake 82

Data Lake Sales Metadata Machine Learning 82

Cloudera

FEBRUARY 13, 2024

Below is the Azure CLI command: Cloudera allows FreeIPA servers, enterprise data lake, and data hub to be configured as Multi-AZ deployment. Below is the CLI command: To configure the data lake as Multi-AZ, it needs to be specified as part of data lake creation via CLI or GUI.

Data Lake 52

Data Lake Testing Data Processing Enterprise 52

DataKitchen

NOVEMBER 29, 2021

A domain has an important job and a dedicated team – five to nine members – who develop an intimate knowledge of data sources, data consumers and functional nuances. For example, managing ordered data dependencies, inter-domain communication, shared infrastructure, and incoherent workflows.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

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 86

Data Lake Metadata Management Data Processing 86

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 81

Metadata Data Lake Data Processing Data-driven 81

CIO Business Intelligence

DECEMBER 7, 2023

As a global company with more than 6,000 employees, BMC faces many of the same data challenges that other large enterprises face. The organization has 500 applications for business services, 80,000 VMs, 3,000 hosts, and more than 100,000 containers. Given the sheer volume of enterprise data, it’s impossible to do this manually.

IT 105

IT Data Lake Business Services Data Processing 105

CIO Business Intelligence

DECEMBER 6, 2023

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. Here, Dickson sees data generated from its industrial machines being very productive.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

Cloudera

NOVEMBER 17, 2022

The Solution: CDP Private Cloud brings a next-generation hybrid architecture with cloud-native benefits to HBL’s data platform. HBL started their data journey in 2019 when data lake initiative was started to consolidate complex data sources and enable the bank to use single version of truth for decision making.

Management 85

Management Data Lake Consulting Unstructured Data 85

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 79

Data Lake Metadata Snapshot Management 79

CIO Business Intelligence

FEBRUARY 20, 2024

All data is held in a lake-centric hub, and protected by a strong, universal security model, with data loss prevention and protection for sensitive data, and features for auditing and forensic investigation already built-in.

Cost-Benefit 115

Cost-Benefit Data Lake Data Warehouse Data Processing 115

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 86

Data Lake Data-driven Management Data Architecture 86

AWS Big Data

AUGUST 13, 2024

With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Choose Store a new secret.

Data Processing 92

Data Processing Visualization Data Lake Data Processing 92

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 79

Data Lake Data Warehouse Cost-Benefit Optimization 79

Cloudera

JUNE 25, 2021

This blog post outlines detailed step by step instructions to perform Hive Replication from an on-prem CDH cluster to a CDP Public Cloud Data Lake. CDP Data Lake cluster versions – CM 7.4.0, Pre-Check: Data Lake Cluster. Understanding Ranger Policies in Data Lake Cluster. Runtime 7.2.8.

Data Lake 73

Data Lake Metadata Unstructured Data Management 73

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 94

Metadata Data Lake Visualization Data Transformation 94

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. Companies such as Cyxtera, Digital Realty and Equinix, among others, offer hosting, managing and operations services for AI infrastructure.

Experimentation 137

Experimentation Cost-Benefit Data Lake Data Science 137

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. This unlocks scalable analytics while maintaining data governance, compliance, and access control.

Analytics 100

Analytics Data-driven Data Integration Data Lake 100

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. You also have the option of hosting with a third party.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

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 80

Data Lake Dashboards Metrics Testing 80

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 74

Unstructured Data Data Processing Manufacturing Data Lake 74

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 105

Management Advertising Data Lake Sales 105

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 77

Data Lake Testing Interactive Unstructured Data 77

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

JULY 17, 2024

sink: - opensearch: # Provide an AWS OpenSearch Service domain endpoint hosts: [ "[link]. > arn: "arn:aws:kafka:us-east-1: >:cluster/ >/ >" processor: - parse_json: sink: - opensearch: # Provide an AWS OpenSearch Service domain endpoint hosts: [ "[link] > us-east-1.es.amazonaws.com"

Analytics 98

Analytics IoT Dashboards Data Lake 98

CIO Business Intelligence

APRIL 9, 2024

Beginning in 2021, the Minneapolis-based Microsoft partner helped Dairyland migrate from several custom legacy applications to a commercial implementation of Dynamics 365 and an Azure data lake, which set the stage for the power company’s early foray into AI, according to the systems integrator.

Digital Transformation 105

Digital Transformation Machine Learning Data Lake Software 105

Cloudera

DECEMBER 13, 2022

The attack targeted a host of public and private sector organizations (18,000 customers) including NASA, the Justice Department, and Homeland Security, and it is believed the attackers persisted on SolarWinds systems for 14 months prior to discovery. All with the integrated security and governance technologies required for compliance.

Machine Learning 77

Machine Learning Experimentation Data Lake Data Processing 77

Cloudera

DECEMBER 2, 2021

In addition to AKS and the load balancers mentioned above, this includes VNET, Data Lake Storage, PostgreSQL Azure database, and more. By default Azure Data Lake Storage, PostgreSQL Database, and Virtual Machines are accessible over public endpoints. Additional Aspects of a Private CDW Environment on Azure. Next Steps.

Data Lake 122

Data Lake Data Warehouse Data Processing Interactive 122

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. Sudipta Bagchi is a Sr.

IoT 101

IoT Data Warehouse Cost-Benefit Reporting 101

CIO Business Intelligence

FEBRUARY 10, 2023

While managing unstructured data remains a challenge for 36% of organizations, according to the 2022 Foundry Data and Analytics Research survey, many IT leaders are actively seeking ways of harnessing all types of data stored in data lakes.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

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 107

Statistics Data Lake Optimization Data-driven 107

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 92

Data Warehouse Data Lake Cost-Benefit Structured Data 92