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

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

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

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 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

Cloudera

DECEMBER 21, 2020

The data is tagged as sensitive data, e.g. “financial”, and the owner field showing “retail banking” instantly informs Shaun which organization to reach out to to ask for access. For each table, she first views the lineage, to understand which source data is entailed and takes a quick look at the classifications and tags. .

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Cloudera

FEBRUARY 11, 2021

Resource-based access control (RBAC) policies can be set up for Kudu in Ranger, but Kudu currently doesn’t support tag-based policies, row-level filtering or column masking. As such, Impala authorizes requests against the policies in the Hadoop SQL repository, including requests on Kudu-backed tables. Table ownership.

Metadata 52

Metadata Management IT Analytics 52

Cloudera

SEPTEMBER 11, 2020

Apache Atlas-based tags or classifications. Several of Cloudera’s query engines have variable binding and query compilation making the code less vulnerable to user input and preventing SQL injections. The following are descriptive attributes: Active Directory (AD) group.

Management 65

Management Big Data Testing Data Integration 65

Cloudera

SEPTEMBER 28, 2020

ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. New Features CDH to CDP. Identifying areas of interest for Customer A. Query Result Cache.

Testing 130

Testing Metadata Risk Data Science 130

AWS Big Data

FEBRUARY 9, 2023

Then the permanent table (Account) is updated from the staging table by running a SQL stored procedure that contains the incremental update logic. Optionally, provide a description for the flow and tags. The Account_Staging table is created in Snowflake to act as a temporary storage that can be used to identify the data change events.

Data Warehouse 74

Data Warehouse Data-driven Snapshot Testing 74

AWS Big Data

MARCH 1, 2024

It provides fine-grained access control, tagging ( tag-based access control (TBAC) ), and integration across analytical services. End users access this data using third-party SQL clients and business intelligence tools. Users and groups exists in External IdP. As a part of this blog, the data will be uploaded into Amazon S3.

Data Lake 98

Data Lake Data Warehouse Management Risk 98

AWS Big Data

JULY 21, 2023

With this feature, Amazon Redshift customers can now manage sharing, apply access policies centrally, and effectively scale the permission using LF-Tags. Lake Formation also provides tag-based access control (TBAC), which can be used to simplify and scale governance of data catalog objects such as databases and tables.

Data Lake 85

Data Lake Data Warehouse Marketing Management 85

Jet Global

JULY 2, 2019

And using Azure’s built-in U-SQL library allows businesses allows you to write code once and have it automatically parallelized for the scale you need, whether in.NET languages, R, or Python. HDInsight: When it comes to Big Data analysis, the open-source Hadoop framework remains one of the most popular options.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

APRIL 10, 2024

Add tags and encryption, if applicable, and choose Next. Obtain the integration_id from the svv_integration system table: SELECT integration_id FROM svv_integration; -- copy this result, use in the next sql Use the integration_id from the previous step to create a new database from the integration.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

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 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

Domino Data Lab

MAY 1, 2019

sql/ <- SQL source code ? ??? Mawer’s interactive “Parameters and Settings” slide has been extracted and reformatted below to ease readability. test_size: 0.25 validate_size: 0.25 template.ipynb <- Template notebook for analysis with useful imports and helper functions. ? ???

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

Alation

JUNE 20, 2023

After its 2021 acquisition of Heights Finance Corporation, CURO needed to catalog and tag its legacy data while integrating Heights’ data — quickly. But everything CURO was still on SQL. Will: CURO was primarily a Microsoft SQL house and still is in some ways. CURO Financial Technologies Corp. and Canada.

Technology 52

Technology Data Governance Data Warehouse Software 52

Jet Global

AUGUST 14, 2019

How should data be tagged, sorted, grouped, and analyzed? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes. Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Smart Data Collective

JUNE 4, 2021

Skills that are in high demand for data science positions are big data (spark), no sql (mongo db), and cloud computing. Facebook and google photos identify people from images and recommend tags. Along with data science, other related skills are needed to work on data science projects. Use cases of data science.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

AWS Big Data

SEPTEMBER 25, 2023

Then create the QMR based on following attributes: Query runtime, in seconds Query return row count The CPU time for a SQL statement For a complete list of QMRs, refer to WLM query monitoring rules. Think of these as tags that you may want to use to identify queries for a uniquely identifiable use case.

Management 93

Management Data Warehouse Metrics Dashboards 93

AWS Big Data

APRIL 26, 2023

But when we looked at the query patterns, we found the query pattern is always just one level deep to find who is the parent of a specific QuickSight resource and that can be solved with a relational database’s Primary Key / Foreign Key relationship and with simple self-join SQL query.

Metadata 52

Metadata Dashboards Visualization Consulting 52

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

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

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

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