AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 68

Data Lake Cost-Benefit Dashboards Data Warehouse 68

AWS Big Data

APRIL 24, 2024

EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug analytics applications written in PySpark, Python, and Scala. Enter values for AdminPassword and DevPassword and make a note of the passwords you create. Choose Next.

Interactive 75

Interactive Visualization Big Data Management 75

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. AWS Glue crawlers now support Iceberg tables, enabling you to use the AWS Glue Data Catalog and migrate from other Iceberg catalogs easier.

Data Lake 77

Data Lake Metadata Snapshot Management 77

Cloudera

DECEMBER 21, 2023

How long would it take you to find the data you need to even begin to come up with a data-driven response? Creating a query when you’ve new to a data model Whether you’re new to a role, or just new to a given data source, finding data is 90 percent of the query creation problem. That would be amazing wouldn’t it?

Optimization 67

Optimization Sales Data Warehouse Measurement 67

Smart Data Collective

JULY 19, 2021

One of such research paper types that college students may have to write is a research paper on big data. If you have to write a research paper on big data as a college student, the first thing to note is that it’s not something you’re familiar about if you don’t major in data science or computer science.

Big Data 118

Big Data Visualization Data Science IT 118

Paul Blogs on BI

FEBRUARY 5, 2024

While I could see some good up and coming youngsters who will soon be in the big league, I was most impressed by how the game was used to try out different plays and different players in different positions. Plus, the combined data can now be exported to Excel and CSV. There’s a lot of exciting new functionality in BI 4.3

Testing 52

Testing Reporting Business Objectives IT 52

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Iceberg doesn’t delete the old data files. This can be an equality delete file or a positional delete file.

Strategy 56

Strategy Optimization Snapshot Metadata 56

Cloudera

NOVEMBER 10, 2021

Cloudera Data Platform (CDP) brings many improvements to customers by merging technologies from the two legacy platforms, Cloudera Enterprise Data Hub (CDH) and Hortonworks Data Platform (HDP). It is useful in defining and enforcing different levels of privileges on data for users on a Hadoop cluster.

Data Lake 75

Data Lake Management Metadata Modeling 75

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). are written in English.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. Note that you may see a different wheel file name based on the latest PyRFC version on GitHub.

Testing 71

Testing Data Integration Data Lake Enterprise 71

Depict Data Studio

APRIL 18, 2022

Sometimes I’d waste an entire weekend making slides for a big talk. from a vertical column chart to a horizontal bar chart); etc. At first, I wasn’t sure what to do: Hands placed firmly on the podium (for big conference talks)? Hands holding a notebook or tablet with notes? Again, I’m guilty. I lost so much time guessing.

Statistics 105

Statistics Visualization Management Reporting 105

Cloudera

NOVEMBER 15, 2022

It is one of the main data services that run on Cloudera Data Platform (CDP) Public Cloud. In this context, non-atomic renames could cause not only client read inconsistencies, but even data loss. User data in HBase . You can access COD from your CDP console.

Snapshot 76

Snapshot Cost-Benefit Reporting IT 76

Depict Data Studio

APRIL 6, 2021

Go big or go home is one of my life mottos. I finished in 30 minutes, and spent literally half that time scribbling down notes about the registration process for this blog post. The data tables are relatively small, maybe 5 columns and 20 rows. Some of the columns were already filled in with data or formulas.

Testing 59

Testing IT 59

AWS Big Data

OCTOBER 26, 2023

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using SQL commands familiar to many roles such as executives, business analysts, and data analysts.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 108

Data Science Forecasting Metadata Machine Learning 108

AWS Big Data

JANUARY 30, 2023

We ran both the tests with data in Amazon Simple Storage Service (Amazon S3). However, for a benchmarking exercise where we compare two platforms purely on performance, and test data volumes don’t change (3 TB in our case), we believe it’s best to avoid variability in order to run an apples-to-apples comparison. based application.

Testing 66

Testing Data Lake Big Data Optimization 66

CIO Business Intelligence

AUGUST 17, 2022

In my last column for CIO.com , I outlined some of the cybersecurity issues around user authentication for verification of consumer and business accounts. . A recent article in Security Affairs notes that “while people need usernames and passwords to identify themselves, machines also need to identify themselves to one another.

Management 104

Management Risk Measurement Technology 104

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. 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.

Data Lake 79

Data Lake Metadata Data Processing Big Data 79

Rocket-Powered Data Science

JULY 7, 2019

NOTE: This page is a WIP = Work In Progress.). AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). 4) Credit Card Fraud Alerts. (5) 5) Chatbots (Conversational AI). See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

AWS Big Data

DECEMBER 12, 2023

As data engineering becomes increasingly complex, organizations are looking for new ways to streamline their data processing workflows. Many data engineers today use Apache Airflow to build, schedule, and monitor their data pipelines. You can use standard SQL to interact with data.

Data Processing 87

Data Processing Management Statistics Interactive 87

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. Dynamic row filtering & column masking. Ranger 2.0.

Testing 130

Testing Metadata Risk Data Science 130

AWS Big Data

MARCH 6, 2024

Part 1 of this two-part series described how to build a pseudonymization service that converts plain text data attributes into a pseudonym or vice versa. Consequently, an organization can achieve a standard process to handle sensitive data across all platforms. The POST request response contains the corresponding pseudonymized values.

Metrics 92

Metrics Statistics Testing Data Lake 92

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex.

Data Warehouse 84

Data Warehouse Data Processing Data Lake Management 84

AWS Big Data

JUNE 26, 2023

In today’s digital world, data is generated by a large number of disparate sources and growing at an exponential rate. Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. It’s commonly referred to as a data harmonization or deduplication problem.

Insurance 78

Insurance Visualization Data Lake Metrics 78

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Mawer is a Principal Data Scientist at Lineage Logistics as well as an Adjunct Lecturer at Northwestern University.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

AWS Big Data

MARCH 17, 2023

Amazon Athena is a serverless and interactive query service that allows you to easily analyze data in Amazon Simple Storage Service (Amazon S3) and 25-plus data sources, including on-premises data sources or other cloud systems using SQL or Python. For Bucket name , enter a globally unique name for your data bucket.

Visualization 91

Visualization Machine Learning Consulting Data Warehouse 91

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. It includes perspectives about current issues, themes, vendors, and products for data governance.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

FEBRUARY 8, 2024

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. Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP).

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

Occam's Razor

JULY 24, 2018

With such big, complicated subjects, we can get lost in the vast wilderness or become trapped in a silo. understanding data’s actual impact on your company today and, 2. To paint a simple picture of the big, complicated world of analytics, the whiteboard above shows a 2×2 matrix. The Impact Matrix.

Analytics 93

Analytics Metrics Strategy Measurement 93

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake 119

Data Lake Testing Big Data Management 119

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. for beginning study in data science?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 91

Data Lake Data Warehouse Metadata Data Architecture 91

AWS Big Data

JULY 26, 2023

Data is essential for businesses to make informed decisions, improve operations, and innovate. Integrating data from different sources can be a complex and time-consuming process. AWS Glue provides different authoring experiences for you to build data integration jobs. One of the most common options is the notebook.

Data Integration 81

Data Integration Interactive Machine Learning Big Data 81

Cloudera

MAY 19, 2021

This year, we expanded our partnership with NVIDIA , enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

AWS Big Data

JULY 28, 2023

Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for its ease of use, high-level APIs, and the ability to process large amounts of data. Flink also allows seamless transition and switching across these APIs.

Data Processing 81

Data Processing Big Data Data Quality Technology 81