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 131

Data Lake Analytics Dashboards Metrics 131

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). It retrieves the specified files and available metadata to show on the UI.

Metadata 111

Metadata Data Lake Visualization Data Transformation 111

AWS Big Data

OCTOBER 29, 2024

To achieve this, they aimed to break down data silos and centralize data from various business units and countries into the BMW Cloud Data Hub (CDH). This led to inefficiencies in data governance and access control. It comprises distinct AWS account types, each serving a specific purpose.

Data Lake 105

Data Lake Sales Metadata Machine Learning 105

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. Iceberg captures metadata information on the state of datasets as they evolve and change over time. Choose Create.

Data Lake 97

Data Lake Metadata Snapshot Management 97

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. Apache Hive, Apache Spark, Presto, and Trino can all use a Hive Metastore to retrieve metadata to run queries.

Data Lake 98

Data Lake Metadata Data Processing Big Data 98

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. The target accounts read data from the source account S3 buckets.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

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. A resource link is a Data Catalog object that is a link to a database or table.

Data Lake 98

Data Lake Metadata Management Data Processing 98

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

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 91

Management Data Lake Consulting Unstructured Data 91

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 74

Data Lake Metadata Unstructured Data Management 74

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance. Proprietary file formats mean no one else is invited in!

Data Warehouse 96

Data Warehouse Data Lake IT Analytics 96

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

MARCH 29, 2024

Data Firehose uses an AWS Lambda function to transform data and ingest the transformed records into an Amazon Simple Storage Service (Amazon S3) bucket. An AWS Glue crawler scans data on the S3 bucket and populates table metadata on the AWS Glue Data Catalog.

Metrics 128

Metrics Visualization Dashboards Interactive 128

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 128

Statistics Data Lake Optimization Data-driven 128

AWS Big Data

JULY 30, 2024

Two private subnets are used to set up the Amazon MWAA environment, and the third private subnet is used to host the AWS Lambda authorizer function. Review the metadata about your certificate and choose Import. Note the values for App Federation Metadata Url and Login URL. Choose Next. Choose Review and import. Choose Save.

Metadata 115

Metadata Enterprise Management Data Lake 115

AWS Big Data

DECEMBER 16, 2024

This approach simplifies your data journey and helps you meet your security requirements. The SageMaker Lakehouse data connection testing capability boosts your confidence in established connections. On your project, in the navigation pane, choose Data. For Add data source , choose Add connection. Choose the plus sign.

Visualization 88

Visualization Data Processing Testing Publishing 88

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

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

Metadata 90

Metadata Data Lake Optimization Strategy 90

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format. Let’s find out what role each of these components play in the context of C360.

Data Strategy 94

Data Strategy Strategy Data Warehouse Prescriptive Analytics 94

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 110

Enterprise Data Warehouse Snapshot Cost-Benefit 110

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 98

Data Lake Dashboards Metrics Metadata 98

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 115

Data-driven Advertising Metadata Data Architecture 115

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. The complexity is at a much higher level.”

Reporting 115

Reporting Data Quality Strategy Data-driven 115

AWS Big Data

JUNE 27, 2024

To develop your disaster recovery plan, you should complete the following tasks: Define your recovery objectives for downtime and data loss (RTO and RPO) for data and metadata. Choose your hosted zone. On the Route 53 console, choose Hosted zones in the navigation pane. Choose your hosted zone. Choose Save.

Snapshot 92

Snapshot Data Warehouse Data Processing Strategy 92

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 115

Analytics Data Lake Management Enterprise 115

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 72

Digital Transformation Machine Learning Optimization Data Lake 72

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. in lieu of simply landing in a data lake.

Data Governance 84

Data Governance Machine Learning Metadata Data Science 84

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. This could be your data lake or application S3 bucket.

Reporting 98

Reporting Data Lake Management Optimization 98

Cloudera

NOVEMBER 12, 2020

Inability to maintain context – This is the worst of them all because every time a data set or workload is re-used, you must recreate its context including security, metadata, and governance. Alternatively, you can also spin up a different compute cluster and access the data by using CDP’s Shared Data Experience.

Data Warehouse 105

Data Warehouse Reporting Risk Cost-Benefit 105

AWS Big Data

JUNE 13, 2023

Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Insert your specific host domain name where the Keycloak application resides in the following URL: [link] /realms/aws-realm/protocol/saml/descriptor. Download the Keycloak IdP SAML metadata file from that URL location.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

Cloudera

AUGUST 21, 2020

There are now tens of thousands of instances of these Big Data platforms running in production around the world today, and the number is increasing every year. Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. OpEx savings and probable ROI once migrated.

Cost-Benefit 77

Cost-Benefit Big Data ROI Risk 77

IBM Big Data Hub

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. Easy to use, integrated data console: Bring your own data and stay in control of your data.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

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 105

Publishing Dashboards Visualization Management 105

Alation

NOVEMBER 28, 2022

It is also hard to know whether one can trust the data within a spreadsheet. And they rarely, if ever, host the most current data available. Sathish Raju, cofounder & CTO, Kloudio and senior director of engineering, Alation: This presents challenges for both business users and data teams.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

AWS Big Data

APRIL 28, 2023

In this example, the analytics tool accesses the data lake on Amazon Simple Storage Service (Amazon S3) through Athena queries. As the data mesh pattern expands across domains covering more downstream services, we need a mechanism to keep IdPs and IAM role trusts continuously updated.

Data Governance 72

Data Governance Management Data-driven Data Lake 72

AWS Big Data

AUGUST 28, 2023

Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake. For more information, refer to Lifecycle management in Security Lake. Review the details and create the data lake. Choose Next. For sts_role_arn , enter the ARN of pipeline-role. Set region as us-east-1.

Dashboards 52

Dashboards Visualization Metadata Management 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 141

Metadata Visualization Data Lake Data-driven 141