Domino Data Lab

OCTOBER 1, 2020

This explosion in both the amount of data as well users who need access to it has created new challenges, chief among them being how to provide secure access to this data at scale and how to give data scientists consistent, repeatable, and convenient access to the computational tools they need. PII, PHI, etc).

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Attribute-based access control and SparkSQL fine-grained access control.

Testing 130

Testing Metadata Risk Data Science 130

Cloudera

SEPTEMBER 9, 2021

The CDP Operational Database ( COD ) builds on the foundation of existing operational database capabilities that were available with Apache HBase and/or Apache Phoenix in legacy CDH and HDP deployments. Quantifiable performance improvements of Apache Hbase 2.2.x Quantifiable performance improvements of Apache Hbase 2.2.x

Cost-Benefit 91

Cost-Benefit Optimization Risk Management 91

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).

Data Lake 77

Data Lake Metadata Data Processing Big Data 77

AWS Big Data

APRIL 24, 2023

In 2022, we announced that you can enforce fine-grained access control policies using AWS Lake Formation and query data stored in any supported file format using table formats such as Apache Iceberg , Apache Hudi, and more using Amazon Athena queries.

Data Lake 77

Data Lake Data Governance Cost-Benefit Machine Learning 77

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. Data access should only be permitted to non-sensitive customer, product, and orders data.

Testing 83

Testing Modeling Management Machine Learning 83

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.

Data Lake 89

Data Lake Snapshot Metadata Optimization 89

AWS Big Data

NOVEMBER 6, 2023

EMR Studio provides fully managed Jupyter notebooks and tools such as Spark UI and YARN Timeline Server via EMR Studio Workspaces. Data is often stored in data lakes managed by AWS Lake Formation , enabling you to apply fine-grained access control through a simple grant or revoke mechanism.

Data Lake 90

Data Lake Sales Management Testing 90

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals .

Snapshot 103

Snapshot Metadata Cost-Benefit Data Architecture 103

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Using Spark SQL to run Hive workloads provides not only the simplicity of SQL-like queries but also taps into the exceptional speed and performance provided by Spark. Apache Spark has supported queries written in HiveQL.

Big Data 77

Big Data Data Processing Interactive Testing 77

Cloudera

JULY 26, 2021

Deep Java Learning, Apache Spark 3.x, Lambda or Kappa architectures) and implementing reliable streaming capabilities at scale by leveraging technologies such as Apache NiFi and Apache Kafka, has made possible the ability to harness and commercialize an ever-increasing volume of real-time data such as time-series or clickstream data.

Strategy 114

Strategy Marketing Data Science Unstructured Data 114

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Data transformation – Steps 3 and 4 represent an EMR Serverless Spark application (Amazon EMR 6.9

Data Lake 79

Data Lake Dashboards Metrics Metadata 79

Cloudera

OCTOBER 25, 2022

The cloud data lakehouse brings multiple processing engines (SQL, Spark, and others) and modern analytical tools (ML, data engineering, and business intelligence) together in a unified analytical environment. Security function isolation. Consider this practice the most important function and foundation of your cloud security framework.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model.

Cost-Benefit 83

Cost-Benefit Data-driven Machine Learning Data Warehouse 83

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52