Cloudera

MARCH 17, 2023

I took the free version of ChatGPT on a test drive (in March 2023) and asked some simple questions on data lakehouse and its components. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. I thought this was a fairly comprehensive list.

Unstructured Data 60

Unstructured Data Data Lake Data Warehouse Machine Learning 60

Cloudera

JUNE 7, 2023

Subsequent to the ZTMM release, CISA issued a request for comment, which has led to the revised version 2 of the ZTMM in April 2023 , as “commenters requested additional guidance and space to evolve along the maturity model,” according to CISA. Understanding your data is critical to protecting the data.

Metadata 78

Metadata Data Lake Optimization Modeling 78

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

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. Let’s drill down into details.

Metrics 103

Metrics Visualization Dashboards Interactive 103

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. parquet") df.sortWithinPartitions("review_date").writeTo("dev.db.amazon_reviews_iceberg").append()

Data Lake 82

Data Lake Snapshot Metadata Optimization 82

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

Timo Elliott

NOVEMBER 30, 2022

My role was to talk about the trends and opportunities for 2023, for customers, SAP, and our partners. Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud.

Recreation/Entertainment 98

Recreation/Entertainment Metadata Data Warehouse Cost-Benefit 98

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 85

Data Lake Data Warehouse Marketing Management 85

Cloudera

FEBRUARY 8, 2024

The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. Incremental and full rebuild of materialized view We will insert rows into the base table and examine how the materialized view can be updated to reflect the new data. Furthermore, it is partitioned on the d_year column.

Snapshot 87

Snapshot Metadata Cost-Benefit Data Warehouse 87

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. Iceberg also helps guarantee data correctness under concurrent write scenarios. We fetch the metadata of the users_xxxxxx table from Athena.

Data Lake 70

Data Lake Metadata Testing Snapshot 70

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 83

Analytics Data Lake Management Enterprise 83

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

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 2023, we released several updates to AWS Glue crawlers. Crawlers, salut!

Data Lake 88

Data Lake Metadata Data Governance Statistics 88

IBM Big Data Hub

MAY 9, 2023

Optimized for all data, analytics and AI workloads, watsonx.data combines the flexibility of a data lake with the performance of a data warehouse, helping businesses to scale data analytics and AI anywhere their data resides. Savings may vary depending on configurations, workloads and vendors.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

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

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 68

Machine Learning Data Warehouse Modeling Cost-Benefit 68

AWS Big Data

DECEMBER 18, 2023

Sessions ANT203 | What’s new in Amazon Redshift Watch this session to learn about the newest innovations within Amazon Redshift—the petabyte-scale AWS Cloud data warehousing solution. Easily build and train machine learning models using SQL within Amazon Redshift to generate predictive analytics and propel data-driven decision-making.

Data Warehouse 97

Data Warehouse Machine Learning Data-driven Data Lake 97

AWS Big Data

MAY 1, 2024

Currently, we have approximately 120,000 employees worldwide (as of March 2023), including group companies. To achieve data-driven management, we built OneData, a data utilization platform used in the four global AWS Regions, which started operation in April 2022. It is crucial in data governance and data management.

Dashboards 102

Dashboards Data-driven Publishing Cost-Benefit 102

erwin

AUGUST 31, 2023

It delivers the ability to capture and unify the business and technical perspectives of data assets, enables effective collaboration between a variety of stakeholders, and delivers metadata-driven automation to accelerate the creation and maintenance of data sources on virtually any data management platform. by Quest ®.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

AWS Big Data

APRIL 28, 2023

describe-table Describes the detailed information about a table including column metadata. The result set contains the complete result set and the column metadata. If you want to get help on a specific command, run the following command: aws redshift-data list-tables help Now we look at how you can use these commands.

Interactive 89

Interactive Metadata Data Warehouse Data-driven 89

Jet Global

SEPTEMBER 19, 2023

What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI How can we rapidly build BI reports on cloud ERP data without any help from IT?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52