Cloudera

DECEMBER 21, 2023

Now imagine you had a personal assistant who knew everything about your data sets and was an expert in SQL, sitting alongside you every step of the way to help you quickly problem solve, write optimized code, explain queries, and much more. Well imagine it no longer, as Cloudera’s SQL AI Assistant is exactly that!

Optimization 68

Optimization Sales Data Warehouse Measurement 68

AWS Big Data

FEBRUARY 20, 2024

This setup has been a key enabler to make corporate users and groups available inside EMR clusters and define access control policies to control their data access (for example, through the Amazon EMR native Apache Ranger integration ). For more details, refer to Tutorial: Configure a cross-realm trust with an Active Directory domain.

Testing 83

Testing Data Processing Interactive Management 83

AWS Big Data

JANUARY 17, 2024

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 90

Data Lake Snapshot Big Data Data-driven 90

datapine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. First of all, SQL Programming. million in the USA alone.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

SEPTEMBER 25, 2023

We also see more and more data science and machine learning (ML) workloads. WLM queues are configured based on Redshift user groups, user roles, or query groups. When users belonging to a user group or role run queries in the database, their queries are routed to a queue as depicted in the following flowchart.

Management 92

Management Data Warehouse Metrics Dashboards 92

AWS Big Data

APRIL 10, 2024

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Choose Create parameter group. Choose Create.

Data Warehouse 89

Data Warehouse Analytics Metrics Snapshot 89

AWS Big Data

NOVEMBER 17, 2023

Its generative BI capabilities enable you to ask questions about your data using natural language, without having to write SQL queries or learn a BI tool. This post shows how you can use the Athena DynamoDB connector to easily query data in DynamoDB with SQL and visualize insights in QuickSight. Choose Next.

Visualization 80

Visualization Metadata Testing Internet of Things 80

AWS Big Data

AUGUST 16, 2023

We then use the ADA Query Workbench to join the separate datasets and query the correlated data, using familiar Structured Query Language (SQL), to gain insights. The application (Lambda function) logs are sent to a CloudWatch log group. We deploy the ADA solution into an AWS account and set up ADA.

Data Analytics 72

Data Analytics Analytics Visualization Software 72

IBM Big Data Hub

SEPTEMBER 1, 2023

Learn more about malware Social engineering and phishing Frequently referred to as “human hacking,” social engineering manipulates targets into taking actions that expose confidential information, threaten their own or their organization’s financial well-being, or otherwise compromise personal or organizational security.

IoT 112

IoT Internet of Things Software Behavioral Analytics 112

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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. So, upgrading to a new major version in CDP can create hesitation and apprehension.

Data Lake 78

Data Lake Management Metadata Modeling 78

IBM Big Data Hub

APRIL 29, 2024

Krishna Maheshwari from NeuroBlade highlighted their collaboration with the Velox community, introducing NeuroBlade’s SPU (SQL Processing Unit) and its transformative impact on Velox’s computational speed and efficiency. Velox at IBM Presto is the engine for watsonx.data , IBM’s open data lakehouse platform.

Management 70

Management Optimization Data Processing Metrics 70

Cloudera

MAY 1, 2023

release of Cloudera’s SQL Stream Builder (available on CDP Public Cloud 7.2.16 release of Cloudera’s SQL Stream Builder (available on CDP Public Cloud 7.2.16 Projects provide a way to group resources required for the task that you are trying to solve, and collaborate with others. What is a Project in SSB?

Testing 79

Testing Management Data Processing IT 79

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. With Amazon MWAA, you can use Apache Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability, availability, and security.

Metadata 101

Metadata Data Processing Management Testing 101

AWS Big Data

NOVEMBER 9, 2023

dbt enables you to write SQL select statements, and then it manages turning these select statements into tables or views in Amazon Redshift. dbt enables you to write SQL select statements, and then it manages turning these select statements into tables or views in Amazon Redshift.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

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 58

Data Warehouse Dashboards Testing Visualization 58

Sisense

JANUARY 25, 2020

SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. Here’s the SQL: select. char_length(replace(email_recipients, ',', '')). >= n - 1 ) email_recipients_by_dashboard group by 1.

Dashboards 92

Dashboards IT 92

Cloudera

FEBRUARY 14, 2024

Rewrite position delete files Iceberg provides a rewrite position delete files procedure in Spark SQL. In Parquet, typically you want your files to be around 512 MB and row-group sizes to be around 128 MB. In a later blog, we will go into details about how to take advantage of the time travel feature. See Write properties.

Strategy 57

Strategy Optimization Snapshot Metadata 57

AWS Big Data

JUNE 23, 2023

Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, straightforward to use, and makes it simple for anyone with SQL skills to quickly analyze large-scale datasets in multiple Regions. The following code provides a SQL example for a view creation.

Data Lake 66

Data Lake Cost-Benefit Dashboards Data Warehouse 66

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. Someone with the knowledge of SQL and access to a Db2 instance, where the in-database ML feature is enabled, can easily learn to build and use a machine learning model in the database. Others are feature columns.

Modeling 91

Modeling Statistics Machine Learning Testing 91

AWS Big Data

FEBRUARY 1, 2024

The required parameter groups for source and target are already created as part of the CloudFormation stack. Note that streaming materialized views differs from regular materialized views in terms of how auto refresh works and the data management SQL commands used. Refer to Streaming ingestion considerations for details.

Data Warehouse 120

Data Warehouse Dashboards Risk Management Risk 120

Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Machine Learning . group by year. Cloudera Data Engineering (Spark 3) with Airflow enabled. import sys.

Snapshot 93

Snapshot Data Warehouse Machine Learning Cost-Benefit 93

Smart Data Collective

JUNE 4, 2021

it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Basics of Machine Learning. Machine learning is the science of building models automatically. Whereas in machine learning, the algorithm understands the data and creates the logic. Semi-Supervised Learning.

Data Science 105

Data Science Statistics Deep Learning Machine Learning 105

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. It’s a fundamentals exam, so you don’t need extensive experience to pass.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

Cloudera

JANUARY 15, 2021

Cloudera Data Warehouse is a highly scalable service that marries the SQL engine technologies of Apache Impala and Apache Hive with cloud-native features to deliver best-in-class price-performance for users running data warehousing workloads in the cloud. The benchmark run by McKnight Consulting Group used the Impala engine.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. These dimensional tables store records that give more details.

Data Lake 99

Data Lake Sales Data Warehouse Snapshot 99

AWS Big Data

MARCH 27, 2023

In this workflow, data is written to Amazon S3 through the Confluent S3 sink connector and then analyzed with Athena, a serverless interactive analytics service that enables you to analyze and query data stored in Amazon S3 and various other data sources using standard SQL. Is there a solution that addresses both challenges simultaneously?

Visualization 72

Visualization Data Lake Interactive Data-driven 72

Cloudera

FEBRUARY 9, 2021

Apache Phoenix is a SQL layer that provides a programmatic ANSI SQL interface. Apache Phoenix is a SQL layer that provides a programmatic ANSI SQL interface. It works on top of Apache HBase, and it makes it possible to handle data using standard SQL queries. The DML statements are not standard SQL). .

Interactive 103

Interactive Machine Learning Data Science IT 103

Sisense

APRIL 17, 2020

This article only scratches the surface of the ways materialized views of all kinds, from SQL server materialized views and Postgres materialized views to a wide array of other systems are changing analytics and data. Data warehouses have changed the way the world deals with data. What is a materialized view, anyway?

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

CIO Business Intelligence

JULY 21, 2022

GfK sponsors participants in London and Warsaw as they learn core tech skills, and move on to more advanced topics such as Java and SQL programming languages. GfK, the market intelligence leader, is rethinking this approach and partnering with CodeFirstGirls. Matchmaking: T he critical factor to a long-term pipeline.

Consulting 98

Consulting Measurement Marketing Optimization 98

FineReport

OCTOBER 8, 2021

Group your metrics logically. Generally speaking, the data sources can be divided into two groups: files and databases. You need some SQL basics, which are very easy to learn, to define the data connection. This post will cover the definition, importance, and designing guide on strategic dashboards. Strategic dashboard.

Dashboards 98

Dashboards KPI Metrics Insurance 98

CIO Business Intelligence

JANUARY 12, 2023

During the six-month training portion, students commit full-time to learning full-stack software development, including skills such as Python, SQL, JavaScript, and React. They also attend networking events, lectures, and smaller group sessions to work on career goals outside of the meetings with their mentors.

Software 119

Software Strategy Reporting IT 119

FineReport

JUNE 15, 2020

For most people, the requirements are too high, and the cost of learning is also high. In fact, FineReport can also achieve such a function, and it does not need to write a bunch of code, you only need to write SQL syntax, but I think it is easy for most people. group by country,strftime(“%Y-%m-%d”,date). FROM datasource.

Visualization 98

Visualization Dashboards Reporting Interactive 98

DataKitchen

FEBRUARY 21, 2023

To add fuel to the fire, a few weeks ago, one of the most talented people in the group left. ” Marcus will not fix his challenges by helping his team write SQL faster. Learn, improve, and iterate quickly (with feedback from the customer) with low risk. But new work is not getting done, and data errors are common.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. We won’t go into the mathematics or engineering of modern machine learning here.

Management 332

Management Machine Learning Experimentation Metrics 332

erwin

AUGUST 15, 2022

Machine Learning. 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. Join an erwin user group. Meet with fellow erwin users and learn how to use our solutions efficiently and strategically. Look at Figure 1 below.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Amazon Redshift admins can easily identify the SQL generated from Spark-based applications. The inventory data is available in Amazon Redshift.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73