Cloudera

JULY 18, 2022

In this blog we will explore how we can use Apache Flink to get insights from data at a lightning-fast speed, 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.

Analytics 85

Analytics Dashboards Statistics Visualization 85

Cloudera

MAY 1, 2023

release of Cloudera’s SQL Stream Builder (available on CDP Public Cloud 7.2.16 In this blog post, we will take a look at how these new concepts and features can help you develop complex Flink SQL projects, manage jobs’ lifecycles, and promote them between different environments in a more robust, traceable and automated manner.

Testing 75

Testing Management Data Processing IT 75

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! This simple statement captures the essence of almost 10 years of SQL development with modern data warehousing.

Visualization 106

Visualization Optimization Unstructured Data Dashboards 106

Cloudera

FEBRUARY 9, 2023

We’re excited to highlight job monitoring with notifications, a new feature for SQL Stream Builder (SSB). Projects represent the software development life cycle (SDLC) in SQL Stream Builder (SSB): you can create an environment for developing SQL jobs, verifying the results and then pushing them to production.

Data Processing 78

Data Processing Data-driven Data Analytics Software 78

AWS Big Data

FEBRUARY 12, 2024

To ensure these dashboards showcase the most updated insights, the organization builders and data architects need to catalog and update AWS Clean Rooms collaboration outputs on an ongoing basis, which often involves repetitive and manual processes that, if not done well, could delay your organization’s access to the latest data insights.

Publishing 89

Publishing Dashboards Metadata Visualization 89

Cloudera

JUNE 7, 2021

It was the first release to incorporate SQL Stream Builder (SSB) from the acquisition, and brought rich SQL processing to the already robust Apache Flink offering. We wanted to be able to address batch sources and streaming sources in our logic and have the tooling and (SQL) grammar to easily work with them.

Analytics 61

Analytics Manufacturing Measurement IoT 61

Paul Blogs on BI

SEPTEMBER 8, 2022

All tables in PBI have at least some data whether they are imported or direct query. Every table in PBI has to be written in freehand SQL because there are no aggregate functions and because there is no way to limit which columns to use from the table in the model. Synchronizing and Merging of Queries.

Metadata 52

Metadata Reporting Modeling Business Objectives 52

Cloudera

JANUARY 6, 2021

Configuration: F irst, HBase and Spark need to be configured together for Spark SQL queries to work properly. Nevertheless, the first step of configuring Spark SQL queries is common through all types of deployment on CDP clusters, but the second is slightly different depending on the type of deployment. builder. .appName(

Machine Learning 131

Machine Learning Data Science Management Enterprise 131

Cloudera

NOVEMBER 18, 2022

Flink SQL does this and directs the results of whatever functions you apply to the data into a sink. Therefore, there are two common use cases for Hive tables with Flink SQL: A lookup table for enriching the data stream. Registering a Hive Catalog in SQL Stream Builder. A sink for writing Flink results.

Data Processing 56

Data Processing Advertising IT 56

CIO Business Intelligence

OCTOBER 26, 2023

Another site, VelvetJobs offers guides to tailoring your resume , a resume builder, resume templates and examples of successful BI analyst resumes. JobHero offers assistance and guidance for writing a BI analyst resume, with different formats and templates for workers with varying seniority, experience and education.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

datapine

AUGUST 14, 2019

They might implement a MySQL report builder to relieve the IT department from carrying out SQL queries and, therefore, save enormous amounts of resources and create a cost-effective business environment. SQL Consoles. Key functions and usage: database management, analysis, querying. performing backup and recovery.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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 80

Dashboards Machine Learning Statistics KPI 80

CIO Business Intelligence

JUNE 14, 2023

It also offers additional practice materials with a subscription to AWS Skill Builder, paid classroom training, and whitepapers. Individuals with the certificate understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL, and R.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Cloudera

AUGUST 8, 2022

With Iceberg in CDP, you can benefit from the following key features: CDE and CDW support Apache Iceberg: Run queries in CDE and CDW following Spark ETL and Impala business intelligence patterns, respectively. builder. .appName("Iceberg Now that we have data loaded into Iceberg tables, let’s use Impala to query the table.

Snapshot 87

Snapshot Data Warehouse Machine Learning Cost-Benefit 87

Cloudera

APRIL 29, 2021

QueryNiFiReportingTask : this new reporting task allows you to run SQL queries against the internal monitoring data stored by NiFi (metrics, status, bulletins, provenance, etc.) This offers a really nice integration with Flink’s Streaming SQL Builder to run SQL queries on top of data streams to monitor NiFi and generate alerts.

Metrics 72

Metrics Data Lake Dashboards Reporting 72

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 Query data to open the query editor v2.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

datapine

JUNE 7, 2022

On the other hand, in PowerPoint performing SQL queries, and exporting the results to create charts before importing them onto slides can take a long time. With easy-to-use SQL query builders, a drag and drop interface, and a metric builder, data visualization tools can produce results in mere minutes.

Visualization 267

Visualization Metrics Statistics Dashboards 267

AWS Big Data

JUNE 28, 2023

That’s why AWS is investing in a zero-ETL future so that builders can focus more on creating value from data, instead of preparing data for analysis. Another example of AWS’s investment in zero-ETL is providing the ability to query a variety of data sources without having to worry about data movement. Challenges with ETL What is ETL?

Analytics 68

Analytics Data Warehouse Data Lake Data-driven 68

Sisense

JULY 7, 2020

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. Availability of data in a variety of locations, at scale and at speed, is becoming a competitive edge for businesses.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

Cloudera

JANUARY 13, 2021

In this installment, we’ll discuss how to do Get/Scan Operations and utilize PySpark SQL. Executing table.show() will give you: There’s a limited amount of filtering you can do with catalogs itself, and the best way to perform get and scan operations is through PySpark SQL which will be discussed later. builder. .appName(

Machine Learning 52

Machine Learning Data Science Modeling IT 52

Cloudera

AUGUST 26, 2021

Spark SQL to access Hive table. builder. . sql( "select iso_code, continent, rec_location, rec_date, people_fully_vaccinated from vaccine_data where people_fully_vaccinated > 0" ). builder. . In this sample, we are running Spark SQL against Ozone data. spark = SparkSession. . getOrCreate().

Data Science 107

Data Science Forecasting Metadata Machine Learning 107

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. To get started with this feature, see Querying the AWS Glue Data Catalog. The Data Catalog objects are listed under the awsdatacatalog database.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

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

Sisense

JUNE 12, 2019

For the most novice users, we are working on providing a natural language query (NLQ) interface which will allow users to simply ask a question and get an answer (you can already see components of this in our ability to support developers who want to integrate with Alexa ). This is a tall order.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Cloudera

APRIL 20, 2023

Cloudera SQL Stream builder gives non-technical users the power of a unified stream processing engine so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. The post Using Dead Letter Queues with SQL Stream Builder appeared first on Cloudera Blog.

Testing 78

Testing Interactive IT 78

Cloudera

MARCH 23, 2023

Cloudera SQL Stream Builder (SSB) gives the power of a unified stream processing engine to non-technical users so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. We can also query this data later, optionally with filters using SSBs REST API.

Broadcasting 76

Broadcasting IT Software Management 76

Cloudera

OCTOBER 12, 2021

At the end of May, we released the second version of Cloudera SQL Stream Builder (SSB) as part of Cloudera Streaming Analytics (CSA). Since then, we have added a RESTful API as a first class citizen to SSB, doubled down on Flink SQL for defining all aspects of SQL jobs, and upgraded to Apache Flink 1.13. Java UDF support.

Analytics 109

Analytics Modeling IT 109

Cloudera

AUGUST 10, 2022

In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces. SQL Stream Builder : Service that runs on top of Flink and enables users to create their own stream processing jobs using SQL. Flink and SQL Stream Builder.

Dashboards 85

Dashboards Data-driven Statistics Management 85

FineReport

FEBRUARY 23, 2020

Oracle, DB2, Microsoft SQL Server, Microsoft Access, MySQL are the popular relational database nowadays. After connected, you can use SQL to query data and then generate reports. Database reporting on NoSQL data sources that require either a customized SQL connector or database plugin for accessing data. From Google.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

Cloudera

MAY 18, 2021

Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. Flink SQL combines the performance and scalability of Apache Flink, a popular distributed streaming platform, with the simplicity and accessibility of SQL. However, this method will not work.

Risk 92

Risk Marketing Risk Management Data-driven 92

Jet Global

FEBRUARY 8, 2021

Instead, users must rely on custom queries deployed as web services. You need substantial IT skills to develop and deploy those queries in your Microsoft D365 environment. Your company’s IT department had complete control and direct access to the ERP’s SQL database.

Reporting 98

Reporting Dashboards Cost-Benefit OLAP 98

Jet Global

MARCH 8, 2021

With Spreadsheet Server’s Query Builder and Formula Builder, you can take your Excel-based ERP reports to a new level by inventing entirely new ways of organizing your ERP data, including combining data from multiple NetSuite modules. Building NetSuite Queries. It’s that simple.

Reporting 98

Reporting Finance Operational Reporting Consulting 98

AWS Big Data

SEPTEMBER 13, 2023

Amazon Athena is used for interactive querying and AWS Lake Formation is used for access controls. Create a database (schema) by running the SQL command CREATE DATABASE taxi_trips; Create 18 tables by running the SQL commands in the ops_table_sample_ddl.sql script. Run the raw_data_validation_query_athena.sql SQL query.

Data Lake 89

Data Lake Data Processing Metadata Snapshot 89

Data Science 101

NOVEMBER 13, 2023

I had the opportunity to beta test a bunch of their offerings and became a JQL, Jira and Confluence expert which helped me out tremendously PM at a Fintech (anti-money laundering, DS, cyber security) company – this is where I found my love for complex data analytics, building dashboards, queries and spreading my “intrinsic motivation” ideals.

B2B 59

B2B Modeling Deep Learning Dashboards 59

Sisense

JANUARY 15, 2021

In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. Big data is now modeled and queried using advanced coding languages like SQL, Python, and R. Implementing analytics at your company is a multi-team job.

Analytics 75

Analytics Data-driven Business Intelligence Visualization 75

Sisense

MAY 28, 2019

Operating “in-data” to enable the direct query of unstructured data lakes, providing a visualization layer on top of them. But this paradigm requires the time, expertise, and a proprietary scripting language to send queries deep into data lakes. No obfuscation layer to come between the builders and their data.

Data Analytics 89

Data Analytics Data Lake Analytics Unstructured Data 89

Sisense

DECEMBER 3, 2019

In-Warehouse Data Prep delivers builders advanced functionality to rapidly transform and optimize raw data using materialized views on cloud data warehouses. Using the language of data (SQL, and soon Python and R ), data teams are empowered to reduce database workloads and optimize query performance that power and scale analytics.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90