Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data modeling basics.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 103

Data Lake Management Metrics Data Warehouse 103

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. Wait for the crawler to complete.

Data Lake 93

Data Lake Snapshot Metadata Optimization 93

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 99

Data Lake Data Warehouse Management Risk 99

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 80

Data Warehouse Sales Visualization Data Processing 80

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks. Interesting times.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

AWS Big Data

DECEMBER 5, 2023

A combination of Amazon Redshift Spectrum and COPY commands are used to ingest the survey data stored as CSV files. For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. She helps customers architect data analytics solutions at scale on AWS.

Measurement 82

Measurement Dashboards Data Warehouse Analytics 82

AWS Big Data

NOVEMBER 20, 2023

Use case A typical workload for AWS Glue for Apache Spark jobs is to load data from a relational database to a data lake with SQL-based transformations. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. The metrics are available in all AWS Glue supported Regions.

Metrics 95

Metrics Data Lake Cost-Benefit Dashboards 95

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. You can then augment recommendations with out-of-the-box data quality rules.

Data Quality 95

Data Quality Statistics Data Lake Visualization 95

AWS Big Data

OCTOBER 4, 2023

Business-driven domains – A DataZone domain represents the distinct boundary of a line of business (LOB) or a business area within an organization that can manage its own data, including its own data assets, its own definition of data or business terminology, and may have its own governing standards.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

Sisense

JULY 22, 2020

As access to and use of data has now expanded to business team members and others, it’s more important than ever that everyone can appreciate what happens to data as it goes through the BI and analytics process. Your definitive guide to data and analytics processes. Data modeling: Create relationships between data.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

JANUARY 24, 2023

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

Data Architecture 66

Data Architecture Metadata Data Lake Snapshot 66

Cloudera

FEBRUARY 8, 2024

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

AWS Big Data

JUNE 6, 2023

On the Crawlers page, select data-quality-result-crawler and choose Run. When the crawler is complete, you can see the AWS Glue Data Catalog table definition. After you create the table definition on the AWS Glue Data Catalog, you can use Athena to query the Data Catalog table. Choose Create crawler.

Data Quality 71

Data Quality Metrics Visualization Dashboards 71

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. He is passionate about big data and data analytics. He helps enterprise customers migrate and modernize their data lake and data warehouse using AWS services.

Metadata 80

Metadata Testing Data Lake Consulting 80

erwin

OCTOBER 31, 2019

What data do we have and where is it? Data is a critical asset used to operate, manage and grow a business. While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

AWS Big Data

AUGUST 31, 2023

It plays a big role within an organization by helping to make the right strategic decision at the right moment which could have a huge impact in a competitive market. Hence, automatic notifications are more often required in order to accelerate data ingestion, facilitate monitoring and provide accurate tracking about the process.

Data Warehouse 83

Data Warehouse Data-driven Testing Business Intelligence 83

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Ashish Agrawal is a Sr.

Metrics 80

Metrics Data Warehouse Dashboards Snapshot 80

BizAcuity

MAY 10, 2022

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. Cloud technology has been around since the mid-2000s.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

JULY 13, 2023

The AWS Glue crawler populates the table definition with its schema in AWS Glue Data Catalog. This step consists of two components: A set of AWS Glue PySpark jobs reads the source tables from Azure SQL and outputs the resulting data in the Amazon Simple Storage Service “Raw Zone”.

Optimization 91

Optimization B2B Data Quality Sales 91

Alation

FEBRUARY 13, 2020

A Data Catalog is a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

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 83

Data Lake Dashboards Metrics Metadata 83

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Definition and Descriptions. In other words, #adulting.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

AWS Big Data

JUNE 29, 2023

In our solution, we create a notebook to access automotive sensor data, enrich the data, and send the enriched output from the Kinesis Data Analytics Studio notebook to an Amazon Kinesis Data Firehose delivery stream for delivery to an Amazon Simple Storage Service (Amazon S3) data lake.

Data Analytics 74

Data Analytics Analytics IoT Data Lake 74

Domino Data Lab

JUNE 15, 2021

At a certain point, as the demand keeps growing, the data volumes rapidly increase. Data is no longer stored in CSV files, but in a dedicated, purpose built data lake / data warehouse. This definition makes UDFs somewhat similar to stored procedures, but there are a number of key differences between the two.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

IBM Big Data Hub

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. How does an open data lakehouse architecture support AI? All of this supports the use of AI.

Data Lake 78

Data Lake Metadata Cost-Benefit Data Warehouse 78

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data lakehouse was created to solve these problems.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

CIO Business Intelligence

MAY 24, 2022

Deloitte lists these as: Creating and shaping a common data foundation. Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years.

Data-driven 77

Data-driven Data Lake Data Warehouse Cost-Benefit 77

Alation

APRIL 14, 2022

Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. A cloud environment with such features will support collaboration across departments and across common data types, including csv, JSON, XML, AVRO, Parquet, Hyper, TDE, and more. It’s not a simple definition. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

IBM Big Data Hub

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60