AWS Big Data

JUNE 10, 2024

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. To address this challenge, organizations can deploy a data mesh using AWS Lake Formation that connects the multiple EMR clusters. An entity can act both as a producer of data assets and as a consumer of data assets.

Data Lake 117

Data Lake Metadata Data Warehouse Data Processing 117

AWS Big Data

SEPTEMBER 26, 2024

For many organizations, this centralized data store follows a data lake architecture. Although data lakes provide a centralized repository, making sense of this data and extracting valuable insights can be challenging. Process the file to extract or convert the text content.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

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 111

Data Lake Data Processing Metadata Snapshot 111

AWS Big Data

NOVEMBER 7, 2024

BladeBridge offers a comprehensive suite of tools that automate much of the complex conversion work, allowing organizations to quickly and reliably transition their data analytics capabilities to the scalable Amazon Redshift data warehouse. Amazon Redshift is a fully managed data warehouse service offered by Amazon Web Services (AWS).

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

AUGUST 1, 2023

Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications. For InitialRunFlag , choose Setup.

Data Lake 98

Data Lake Data Transformation Data-driven Cost-Benefit 98

AWS Big Data

JANUARY 27, 2023

With a unified data catalog, you can quickly search datasets and figure out data schema, data format, and location. The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. Refer to Catalogs for more information.

Data Lake 92

Data Lake Metadata Business Analysis Data-driven 92

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. You can download the results as JSON or CSV files using the download icon at the bottom of the output cell. Choose Run all.

Visualization 95

Visualization Data Processing Testing Publishing 95

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 126

Snapshot Data Lake Metadata Optimization 126

CIO Business Intelligence

APRIL 25, 2024

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

AWS Big Data

DECEMBER 9, 2024

With change log view, we can easily track insertions, updates, and deletions, giving us a complete picture of how our data has evolved. For our heater example, Icebergs change log view would allow us to effortlessly retrieve a timeline of all price changes, complete with timestamps and other relevant metadata, as shown in the following table.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

JUNE 26, 2024

New feature: Custom AWS service blueprints Previously, Amazon DataZone provided default blueprints that created AWS resources required for data lake, data warehouse, and machine learning use cases. Downloading these files individually would be a tedious and time-consuming process for Amazon DataZone users.

Data Lake 119

Data Lake Data Warehouse Unstructured Data Data Governance 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 116

Data Lake Snapshot Big Data Data-driven 116

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 119

Data Lake Data Warehouse Management Risk 119

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

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 109

Metadata Data Lake Data Processing Data-driven 109

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 131

Statistics Data Lake Optimization Data-driven 131

AWS Big Data

NOVEMBER 19, 2024

AWS Lake Formation makes it straightforward to centrally govern, secure, and globally share data for analytics and machine learning (ML). It also delivers fine-grained data access control, so you can make sure users have access to the right data down to the row and column level. The function appends the retrieved data.

Data Lake 98

Data Lake Metadata Testing Data Processing 98

DataKitchen

OCTOBER 11, 2021

Figure 1 shows a manually executed data analytics pipeline. First, a business analyst consolidates data from some public websites, an SFTP server and some downloaded email attachments, all into Excel. Figure 2: Example data pipeline with DataOps automation. Monitoring Job Metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

JUNE 5, 2024

The integration is new way for customers to query operational logs in Amazon S3 and Amazon S3-based data lakes without needing to switch between tools to analyze operational data. Amazon S3 is an object storage service offering industry-leading scalability, data availability, security, and performance. Download the 1.1.0

Data Lake 122

Data Lake Dashboards Cost-Benefit Visualization 122

AWS Big Data

JULY 8, 2024

Introduction to OpenLineage compatible data lineage The need to capture data lineage consistently across various analytical services and combine them into a unified object model is key in uncovering insights from the lineage artifact. Now let’s harvest the lineage metadata using CloudShell. Choose Run.

Visualization 119

Visualization Metadata Publishing Sales 119

AWS Big Data

OCTOBER 9, 2024

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Compare ongoing data that is replicated from the source on-premises database to the target S3 data lake.

Data Quality 115

Data Quality Data Lake Data Warehouse Metrics 115

CIO Business Intelligence

AUGUST 3, 2023

“You had to be an expert in the programming language that interacts with that data, and understand the relationships of each data element within each data source, let alone understand its relation to elements in other data sources,” he says. Without those templates, it’s hard to add such information after the fact.”

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

Octopai

MARCH 22, 2021

Cleaning up dirty data. Snowflake eliminates data silos by consolidating all your data sources into a cloud-based data warehouse or data lake. Sounds great… except what if your data lake is polluted? Now every user and every report in your company is dipping in the dirty data water!

Data Lake 98

Data Lake Data Warehouse Metadata Reporting 98

AWS Big Data

NOVEMBER 15, 2023

You can use its built-in transformations, recipes, as well as integrations with the AWS Glue Data Catalog and Amazon Simple Storage Service (Amazon S3) to preprocess the data in your landing zone, clean it up, and send it downstream for analytical processing. Download the CSV file and view the transformed output.

Metadata 115

Metadata Sales Data Lake Big Data 115

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 97

Analytics Data Warehouse Data Lake Metadata 97

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 94

Data Warehouse Data Lake IT Analytics 94

Cloudera

MAY 19, 2021

For the code to work, the data in it’s CSV format should be placed into the data subfolder. The dataset can be downloaded from: [link]. Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

Alation

FEBRUARY 13, 2020

Why do we need a data catalog? What does a data catalog do? These are all good questions and a logical place to start your data cataloging journey. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics. Figure 1 – Data Catalog Metadata Subjects.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

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

Cloudera

JUNE 16, 2022

The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities. For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Without context, streaming data is useless.”

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

AWS Big Data

SEPTEMBER 26, 2023

AWS Lake Formation helps you centrally govern, secure, and globally share data for analytics and machine learning. With Lake Formation, you can manage access control for your data lake data in Amazon Simple Storage Service (Amazon S3 ) and its metadata in AWS Glue Data Catalog in one place with familiar database-style features.

Data Lake 72

Data Lake Metadata Management Modeling 72

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

Cloudera

OCTOBER 7, 2022

Cloudera’s mission, values, and culture have long centered around using open source engines on open data and table formats to enable customers to build flexible and open data lakes. To date, dbt was only available on proprietary cloud data warehouses, with very little interoperability between different engines.

Data Warehouse 81

Data Warehouse Data Transformation Machine Learning Data Lake 81

AWS Big Data

AUGUST 6, 2024

In parallel, the Pinot controller tracks the metadata of the cluster and performs actions required to keep the cluster in an ideal state. Its primary function is to orchestrate cluster resources as well as manage connections between resources within the cluster and data sources outside of it.

OLAP 111

OLAP Analytics Visualization Dashboards 111

Cloudera

JANUARY 15, 2021

Optimized read and write paths to cloud object stores (S3, Azure Data Lake Storage, etc) with local caching, allowing workloads to run directly against data in shared object stores without explicit loading to local storage. Tuned default configurations for “out-of-the-box” performance without requiring custom tuning.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

AWS Big Data

JUNE 13, 2023

For instructions on installing Keycloak, refer to Keycloak Downloads. Download the SAML metadata file. In the navigation pane under Clients , import the SAML metadata file. Download the Keycloak IdP SAML metadata file from that URL location. Vamsi Bhadriraju is a Data Architect at AWS. Choose Browse.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52