Cloudera

FEBRUARY 11, 2021

which made it possible to restrict access only to Apache Impala where Apache Sentry policies could be applied, enabling a lot more use cases. which made it possible to restrict access only to Apache Impala where Apache Sentry policies could be applied, enabling a lot more use cases. How it works.

Metadata 52

Metadata Management IT Analytics 52

Cloudera

DECEMBER 10, 2020

Continuous resource consumption in the cloud (billable on-demand by a running clock) makes no sense today because a better option is available: resource consumption that starts when you need it and stops when you don’t. If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Cloudera

FEBRUARY 8, 2024

Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. 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. Such a query pattern is quite common in BI queries.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

AWS Big Data

NOVEMBER 8, 2023

SageMaker Studio comes with built-in integration with Amazon EMR , enabling data scientists to interactively prepare data at petabyte scale using frameworks such as Apache Spark, Hive, and Presto right from SageMaker Studio notebooks.

Testing 85

Testing Modeling Management Machine Learning 85

AWS Big Data

MAY 16, 2023

Laws such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) require organizations to retain application logs for a specific period of time. In this post, we explore the architecture and the benefits it provides for Zoom and its users.

Data Lake 68

Data Lake Cost-Benefit Optimization Testing 68

Cloudera

OCTOBER 5, 2021

Cloudera Data Platform (CDP) supports access controls on tables and columns, as well as on files and directories via Apache Ranger since its first release. Unfortunately, in such instances you would have to create and maintain separate Ranger policies for both Hive and HDFS, that correspond to each other. . How does it help?

Management 92

Management Metadata IT Interactive 92

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows. Apache Iceberg 1.2.0, Apache Iceberg 1.2.0, and Delta Lake 2.3.0. and Delta Lake 2.3.0.

Data Lake 111

Data Lake Metadata Optimization Statistics 111

AWS Big Data

FEBRUARY 1, 2024

The customer was looking for how they could achieve this in the most cost-effective way on AWS. The customer was looking for how they could achieve this in the most cost-effective way on AWS. Solution overview In the following sections, we first introduce the Common Crawl dataset and how to explore and filter the data we need.

Modeling 95

Modeling Metadata Data Processing Unstructured Data 95

AWS Big Data

MARCH 28, 2024

This encouraged us to reinvent our reconciliation service powered by AWS services, including Amazon EMR and the Apache Spark distributed processing framework, which uses PySpark. Account reconciliation is an important step to ensure the completeness and accuracy of financial statements. We processed the data sequentially using Python.

Optimization 79

Optimization IT Big Data Data Processing 79

AWS Big Data

MARCH 3, 2023

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. Incremental data is generated in the PostgreSQL table by running custom SQL scripts.

Data Lake 81

Data Lake Dashboards Metrics Metadata 81

Cloudera

MAY 26, 2021

in the same time period. All data access is authorized via Attribute-Based Access Control or Role-Based Access Control with Apache Ranger as part of SDX. All data access is authorized via Attribute-Based Access Control or Role-Based Access Control with Apache Ranger as part of SDX. Insider Threats? 31% in two years?

Reporting 73

Reporting Management Measurement Testing 73

O'Reilly on Data

SEPTEMBER 11, 2019

The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI). The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20