AWS Big Data

MAY 24, 2023

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. Amazon S3 uses object tagging to categorize storage where each tag is a key-value pair. With the s3.delete.tags

Data Lake 83

Data Lake Snapshot Metadata Optimization 83

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. There are two key components to Apache Hive: the Hive SQL query engine and the Hive metastore (HMS). Create LF-Tags and associate them to the federated database. Choose LF-Tag permissions and choose Grant.

Data Lake 79

Data Lake Metadata Data Processing Big Data 79

AWS Big Data

JULY 3, 2023

We specifically explore how Amazon EMR and the newly developed Apache Iceberg branching and tagging feature can address the challenge of look-ahead bias in backtesting. This is where the tagging feature in Apache Iceberg comes in handy. Tag this data to preserve a snapshot of it.

Snapshot 82

Snapshot Data Lake Testing Strategy 82

AWS Big Data

FEBRUARY 16, 2024

Amazon Redshift Spectrum enables you to run Amazon Redshift SQL queries on data stored in Amazon S3. For Name tag , enter an optional name. For Name tag , enter an optional name. For Name tag , enter an optional name. Redshift Spectrum uses the AWS Glue Data Catalog as a Hive metastore. Choose Create endpoint.

Data Lake 95

Data Lake Data Warehouse Testing Business Objectives 95

AWS Big Data

NOVEMBER 17, 2023

Managing the SQL files, integrating cross-team work, incorporating all software engineering principles, and importing external utilities can be a time-consuming task that requires complex design and lots of preparation. For more information, refer SQL models. The table refresh can be full or incremental based on the configuration.

Snapshot 89

Snapshot Data Processing Testing Data Warehouse 89

AWS Big Data

FEBRUARY 15, 2024

Under LF-Tags or catalog resources , automountdb is already selected for Databases. Under LF-Tags or catalog resources , automountdb is already selected for Databases. Under LF-Tags or catalog resources , salesds is already selected for Databases. Under LF-Tags or catalog resources , salesds is already selected for Databases.

Management 87

Management Data Lake Sales Data Warehouse 87

AWS Big Data

NOVEMBER 6, 2023

Set up application integration settings To enforce permissions for the EMR cluster, you need to register a session tag value with Lake Formation. Lake Formation uses this session tag to authorize callers and provide access to the data lake. We register Amazon EMR as the session tag value. Choose Save. Choose Save.

Data Lake 92

Data Lake Sales Management Testing 92

AWS Big Data

JULY 28, 2023

Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools. Solution overview You can now use SQL clients like Amazon Redshift Query Editor v2 to browse and query awsdatacatalog.

Data Lake 66

Data Lake Data Governance Data Warehouse Modeling 66

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. For example, you can run SQL from JavaScript.

Interactive 89

Interactive Metadata Data Warehouse Data-driven 89

CDW Research Hub

JULY 22, 2022

The advantage of Iceberg over other file formats is its support for expressive SQL, schema evolution, and overall performance. Tag-Based Data Masking. Snowflake’s new tag-based masking policies add a much-needed functionality change that enables easier use, future capabilities, and less overall code to maintain.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

AWS Big Data

JULY 28, 2023

Tagging Consider tagging your Amazon Redshift resources to quickly identify which clusters and snapshots contain the PII data, the owners, the data retention policy, and so on. Tags provide metadata about resources at a glance. Redshift resources, such as namespaces, workgroups, snapshots, and clusters can be tagged.

Snapshot 81

Snapshot Metadata Measurement Data Warehouse 81

AWS Big Data

MARCH 18, 2024

Use geospatial queries to tag addresses to census blocks. Our data is in Amazon Redshift, so we need to access the Location Service APIs using SQL statements. Amazon Redshift allows developers to create UDFs using a SQL SELECT clause, Python, or Lambda. Set up a place index in Amazon Location Service.

Data Warehouse 79

Data Warehouse Visualization Snapshot Data-driven 79

CDW Research Hub

JULY 27, 2020

Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Watch our first video to learn how Snowflake has the built-in capability to record details about every query and how to use query tags to tag each query with up to 2000 characters of text.

Structured Data 52

Structured Data Consulting Management IT 52

AWS Big Data

SEPTEMBER 19, 2023

This layer contained API wrappers over integrated services, job tags, scheduling configurations and debug tooling, hiding Spark and other lower-level complexities from end users. As a result, end users were able to define jobs with declarative YAML configurations and define transformation logic with SQL.

Analytics 77

Analytics Risk Big Data Machine Learning 77

AWS Big Data

SEPTEMBER 29, 2023

Use the processed data (in Parquet format) with Athena tables, enabling SQL queries. Use the user-friendly interface in Athena to analyze the XML data with SQL queries on your data stored in Amazon S3. The following screenshot shows an example of an XML file with tags. This approach optimizes the use of your XML files.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. In Ranger, explicit Hadoop SQL policies with necessary permissions should exist for a user to get access to an object. These Ranger plugins cache the access privileges and tags at client side. and column ? *.

Data Lake 75

Data Lake Management Metadata Modeling 75

AWS Big Data

MARCH 21, 2023

Background At AWS Payments, we had been using Redash to allow our users to author and run SQL queries against our Amazon Redshift data warehouse. Redash is a web-based SQL client application that can be used to author and run queries, visualize query results with charts, and collaborate with teams.

Cost-Benefit 73

Cost-Benefit Dashboards Visualization Data-driven 73

AWS Big Data

JANUARY 17, 2024

Choose Amazon EMR for Session tag values. Create Hudi tables using the following Spark SQL. %%sql sql CREATE TABLE IF NOT EXISTS ${hudi_catalog}.${hudi_db}.${cow_table_name_sql}( sql INSERT OVERWRITE ${hudi_catalog}.${hudi_db}.${cow_table_name_sql} sql INSERT INTO ${hudi_catalog}.${hudi_db}.${cow_table_name_sql}

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

AWS Big Data

APRIL 24, 2023

Solution overview To explain this setup, we present the following architecture, which integrates Amazon S3 for the data lake (Iceberg table format), Lake Formation for access control, AWS Glue for ETL (extract, transform, and load), and Athena for querying the latest inventory data from the Iceberg tables using standard SQL.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

Jen Stirrup

OCTOBER 14, 2019

As a freelance industry analyst who has worked with GigaOm , I’m pleased to see the GigaOM Transactional Field Test derived from the industry-standard TPC Benchmark E (TPC-E) report which compares Amazon Web Services Relational Database Service (AWS RDS) and Microsoft Azure SQL Database. Why SQL Server? So it took hold.

IT 67

IT Data mining Business Intelligence Testing 67

CDW Research Hub

JULY 27, 2020

Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Related: Sirius About Snowflake Demo: How to Use Query Tags. We can answer any questions you have about Snowflake and help you better understand how to use its features.

Structured Data 52

Structured Data Consulting Management IT 52

AWS Big Data

OCTOBER 4, 2023

Trino (formerly PrestoSQL) is an open-source, highly parallel, distributed SQL query engine to run interactive queries as well as batch processing on petabytes of data. We need Hue’s web-based interface for submitting SQL queries to the Trino engine and HDFS on core nodes to store intermediate exchange data for Trino’s fault-tolerant runs.

Big Data 79

Big Data Optimization Data-driven Management 79

Jet Global

APRIL 2, 2019

But business intelligence software , built to give businesses the opportunity to collect, unify, sort, tag, analyze, and report on the vast amounts of data at their disposal, must be a focus for businesses hoping to gain an AI advantage down the road. How should data be tagged, sorted, grouped, and analyzed? It All Starts with Data.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

AWS Big Data

APRIL 25, 2024

The pipeline then starts running stored procedures and SQL commands on Redshift Serverless. scripts – Any SQL scripts used in the DAG. The DAG also runs SQL commands in Amazon Redshift to delete the data from the staging table using SQLExecuteQueryOperator. plugins – The file for any custom or community Airflow plugins.

Metadata 72

Metadata Data Processing Management Testing 72

Alation

JUNE 30, 2021

“The Alation platform includes ‘Allie,’ Alation’s AI, which helps determine what incomplete tags or column names mean (in a department-specific context) and smooths out inconsistent terminology,” the report details. Intelligent SQL Editor. Tribal knowledge about how folks query is embedded into Compose.

Reporting 52

Reporting Metadata Data-driven Marketing 52

Cloudera

JUNE 26, 2023

HBase provides the data format suited for transactional needs, Phoenix supplies the SQL interface, and SOLr enables index based search capability. Le Service à Trois HBase + Phoenix + SOLr is a great combination for any analytical use case that goes against operational/transactional datasets. Monitoring: should I use WXM or Cloudera Manager?

Testing 76

Testing Data Processing Visualization Data Science 76

Data Science 101

AUGUST 27, 2023

The database is good old SQL Server and we have a pretty robust CI/CD pipeline that takes care of builds and deployments. So, first thing for someone starting out: go to GitHub and find some projects that use the “good first issue” tag on some of their issues. It’s a love-hate thing with Ember. They are slowly making some improvements.

Software 98

Software Enterprise IT 98

Cloudera

JUNE 28, 2022

In part two we will explore how we can run real-time streaming analytics using Apache Flink, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). The streaming SQL job also saves the fraud detections to the Kudu database.

Dashboards 81

Dashboards Machine Learning Statistics KPI 81

Cloudera

SEPTEMBER 17, 2018

SQL development is not a new concept. The stress is also reflected by end users and SQL developers on how efficiently they are expected to serve the business. No need to be an SQL backend expert. by default, which aims to expedite and simplify the common tasks for the modern SQL user. No need to learn a new skill.

Data Warehouse 53

Data Warehouse Optimization Visualization Unstructured Data 53

Alation

FEBRUARY 28, 2023

With Alation Connected Sheets, business users can browse and pull the most current, compliant data directly from cloud sources into a spreadsheet – without SQL or subject matter expert assistance. These data objects could include anything from business glossary terms, to a database table or a SQL query with helpful descriptions.

Contextual Data 52

Contextual Data Metadata Data-driven Visualization 52

AWS Big Data

MARCH 9, 2023

Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands. Otherwise, if the customer_id is non-existent in the newver dataset ( newver.customer_id is null ), it’s tagged as a delete ( ‘D' ).

Slice and Dice 80

Slice and Dice Data Warehouse Metrics Metadata 80

AWS Big Data

MARCH 10, 2023

Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. It enables ACID transactions on tables, allowing for concurrent data ingestion, updates, and queries, all while using familiar SQL.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

AWS Big Data

JUNE 29, 2023

Therefore, over time, multiple Data Definition Language (DDL) or Data Control Language (DCL) queries, such as CREATE, ALTER, DROP, GRANT, or REVOKE SQL queries, are run on the Amazon Redshift data warehouse, which are sensitive in nature because they could lead to dropping tables or deleting data, causing disruptions or outages.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

erwin

AUGUST 15, 2022

Thus, many traditional relational databases like Oracle and Microsoft SQL Server may not be the best choice for such a highly specific and demanding need. This very specialized need gave rise to today’s many NoSQL databases. But what exactly does NOSQL mean? The answer may surprise you. Relational. Column Oriented. Column Family}. Collection.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

AUGUST 16, 2023

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. Under LF-Tags or catalog resources , choose icebergcrawlerblogdb for Databases. Choose Grant. Choose Grant.

Data Lake 77

Data Lake Metadata Snapshot Management 77

Cloudera

SEPTEMBER 23, 2020

Apache Ranger fine-grained policies enable dynamic row filtering through SQL query compile time when SQL based relational constructs are used on OpDB (Hive on HBase). For example, you can tag columns or column families as having PII and providing conditional access to users and groups based on such classifications.

Data Lake 80

Data Lake Metadata IoT Enterprise 80

DataRobot

JUNE 9, 2021

Snowflake has always delivered performance and ease-of-use for users familiar with SQL. Snowpark is a new developer experience for Snowflake, allowing you to build efficient and powerful pipelines with familiar constructs in your programming language of choice.

Machine Learning 52

Machine Learning Modeling Data Processing 52