Sisense

JANUARY 7, 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. The SQL order of execution defines the order in which the clauses of a query are evaluated. Creating order. WHERE Clause.

Optimization 104

Optimization IT 104

BA Learnings

JANUARY 23, 2024

Whether it’s navigating SQL databases (if you have a technical background) or charting the territories of CRM systems , your technical prowess ensures you’re not left adrift in the ever-evolving digital landscape. Tech-Savviness: Riding The Digital Wave Let’s face it, we’re in the digital age, and you need to surf this wave like a pro.

Business Analysis 130

Business Analysis Uncertainty Reporting Management 130

Smart Data Collective

FEBRUARY 23, 2022

AWS Athena is a query service that allows users to analyze data in S3 using standard SQL syntax. Both combined, you use SQL to query what’s stored in S3. Both combined, you use SQL to query what’s stored in S3. Limits of Athena. Partition limits. However, partitioning also has limits, and it is not easy to use.

Data Lake 99

Data Lake Cost-Benefit Optimization Big Data 99

O'Reilly on Data

JUNE 27, 2023

The most popular attacks were cross-site scripting and SQL injection , the latter of which is best explained in the story of “Little Bobby Tables.” With a SQL injection attack, you can “escape” certain characters so that the database doesn’t give them special treatment. What Can You Do?

Risk Management 224

Risk Management Risk Management Modeling 224

Data Science 101

NOVEMBER 29, 2019

In the United States, it is a holiday week, so the news is pretty limited from many of the big cloud providers. Luckily, Amazon has come through with a flurry of machine learning announcements. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

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. BI developer.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. However, it’s crucial to assess the limitations of the utility and AWS Identity and Access Management (IAM) security and compliance requirements.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Configuration: F irst, HBase and Spark need to be configured together for Spark SQL queries to work properly. scan ‘tblEmployee2’, {‘LIMIT’ => 2}.

Machine Learning 133

Machine Learning Data Science Management Enterprise 133

IBM Big Data Hub

OCTOBER 18, 2023

On December 5–6, 2023 at the Computer History Museum in Mountain View, CA, hundreds of developers and software engineers will come together at PrestoCon 2023 to support and learn more about Presto, the open-source SQL query engine for data analytics and the Open Data Lakehouse.

Statistics 93

Statistics Software Data Analytics Analytics 93

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Here, we list the most prominent ones used in the industry. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

OCTOBER 1, 2022

The problem, Favelin says, is organizations have deployed non-relational or no-SQL databases as “band aids to compensate for the shortcomings of legacy databases.”. “So

Data Strategy 97

Data Strategy Strategy Technology Analytics 97

O'Reilly on Data

SEPTEMBER 15, 2021

Learning new skills and improving old ones were the most common reasons for training, though hireability and job security were also factors. The survey was publicized through O’Reilly’s Data & AI Newsletter and was limited to respondents in the United States and the United Kingdom. Demographics. Salaries by Programming Language.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

AWS Big Data

OCTOBER 3, 2023

To learn more about the available optimize data executors and catalog properties, refer to the README file in the GitHub repo. SQL shell as shown in the following code. As of this writing, only the optimize-data optimization is supported. show() We have confirmed that our S3 folder corresponds to the newly created Iceberg table.

Optimization 107

Optimization Snapshot Data Lake Metadata 107

CIO Business Intelligence

SEPTEMBER 5, 2022

For example, Microsoft has quite heavy restrictions on using perpetual license software in the cloud, specifically SQL Server. We would have had to purchase a current version of SQL Server and then downgrade it like four or five versions because that’s the version our ERP and other systems run on. Hilton Currie.

Data Processing 98

Data Processing Digital Transformation Finance Consulting 98

Cloudera

AUGUST 3, 2022

This limited usage of Spark at security-conscious customers, as they were unable to leverage its rich APIs such as SparkSQL and Dataframe constructs to build complex and scalable pipelines. . Fine grained access control (FGAC) with Spark. For those eager to get started, CDP 7.1.7 SP1 will provide the key benefits outlined above.

Snapshot 89

Snapshot Cost-Benefit Machine Learning Data Transformation 89

AWS Big Data

JANUARY 17, 2024

Create Hudi tables using the following Spark SQL. %%sql sql CREATE TABLE IF NOT EXISTS ${hudi_catalog}.${hudi_db}.${cow_table_name_sql}( sql INSERT OVERWRITE ${hudi_catalog}.${hudi_db}.${cow_table_name_sql} sql INSERT INTO ${hudi_catalog}.${hudi_db}.${cow_table_name_sql} You can now follow the steps in the notebook.

Data Lake 90

Data Lake Snapshot Big Data Data-driven 90

Smart Data Collective

APRIL 14, 2021

It comes coded in LookML, an SQ-like language that requires learning to set up. With this tool, analysts are able to visualize complex data models in Python, SQL, and R. it offers data connectors, visualization layers, and hosting all in one package, making it ideal for teams that are data-driven with limited resources.

Business Intelligence 134

Business Intelligence Dashboards Visualization Big Data 134

Sisense

JULY 2, 2020

While there are many solutions offering easy data replication to cloud warehouses on the market, there are fewer tools that support on-premise databases, like SQL Server, as a replication target. SQL Server Requirements. To connect to an on-premise SQL Server, the server must be available from the internet.

Data Warehouse 98

Data Warehouse Data Integration Software Marketing 98

CIO Business Intelligence

DECEMBER 6, 2023

Mastering the complexity of LLM orchestration Those of us who have been involved in automation have learned that orchestration is key as bots grow in number. This orchestration layer acts as a bridge, effortlessly merging various AI elements, streamlining operations and encouraging an environment of ongoing learning and enhancement.

Enterprise 119

Enterprise Strategy Modeling Interactive 119

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. In-context learning LLMs are trained with point-in-time data and have no inherent ability to access fresh data at inference time. The following diagram illustrates a basic in-context learning workflow.

Data Lake 87

Data Lake Unstructured Data Management Modeling 87

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 . LIMIT 4 ; flightnum. Cloudera Data Engineering (Spark 3) with Airflow enabled. dayofmonth.

Snapshot 93

Snapshot Data Warehouse Machine Learning Cost-Benefit 93

Data Science 101

MAY 6, 2019

The big problem that we were solving at Mercedes is basically: how do you build machine learning into an environment where there’s limited-to-no data connectivity? There’s this data set that I send out to people that’s from the UCI Machine Learning Repository. He asks, “How important is SQL in comparison to Python in 2019?”.

Data Science 98

Data Science Modeling Machine Learning Testing 98

AWS Big Data

OCTOBER 26, 2023

Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies. We also need an offline feature store to store features in feature groups.

Modeling 63

Modeling Data Warehouse Machine Learning Testing 63

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. IMPALA-9983: Pushdown limit to analytic sort operator.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

AWS Big Data

MARCH 23, 2023

If you are interested in learning more about data mesh architecture, visit Design a data mesh architecture using AWS Lake Formation and AWS Glue. Use the following SQL to write and insert data into the Iceberg table. consumer_iceberg" limit 10; Log in to the consumer account. Log in to the producer account. Choose Save.

Interactive 66

Interactive Snapshot Data Lake Software 66

erwin

OCTOBER 4, 2022

You can look forward to sessions with everyone’s favorite database experts: Microsoft Certified Master Brent Ozar and Pinal Dave, the creator of SQL Authority. In his signature engaging style that makes any topic more interesting, Brent will show you how to migrate to the cloud with a roadmap for SQL Server databases.

Data-driven 52

Data-driven Strategy Management Optimization 52

FineReport

JULY 6, 2022

Developed by Microsoft, Power BI is very friendly for users who are familiar with Microsoft products such as Azure, Excel, and SQL. But beginners may feel overwhelmed by the difficulty of learning the operations before visualizing data. FineReport targets users with basic SQL knowledge, especially IT professionals. Data Sources.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

AWS Big Data

JUNE 6, 2023

We can analyze the data quality score and metrics using Athena SQL queries. Query the Data Catalog table using Athena Athena is an interactive query service that makes it easy to analyze data in Amazon S3 and the AWS Glue Data Catalog using standard SQL. dq_gluedataqualitylogs" limit 10; The following screenshot shows the output.

Data Quality 68

Data Quality Metrics Visualization Dashboards 68

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. Sentry has an option to automatically convert the SQL privileges to provide access to HDFS.

Data Lake 78

Data Lake Management Metadata Modeling 78

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. Read the first blog here.

Machine Learning 52

Machine Learning Data Science Modeling IT 52

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 81

Enterprise Data Warehouse Snapshot Cost-Benefit 81

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

Sisense

APRIL 15, 2021

Augmented analytics (according to Gartner, which would know), uses technologies “such as machine learning [ML] and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms.” Tools of the AI trade.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

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

Data Science 101

AUGUST 27, 2023

The database is good old SQL Server and we have a pretty robust CI/CD pipeline that takes care of builds and deployments. It opened up so much that had previously been off limits to developers (.NET Use the GitHub documentation to learn how to use Git and GitHub. It’s a love-hate thing with Ember. We ALL make mistakes.

Software 98

Software Enterprise IT 98

AWS Big Data

MARCH 2, 2023

To enable interactive querying and analyzing their data in place using familiar SQL syntax, many teams are turning to Amazon Athena. Athena is an interactive query service that is used by modern applications to query large volumes of data on an S3 data lake using standard SQL. A Lambda function is invoked to initiate the connection.

Data Lake 72

Data Lake Testing Interactive Unstructured Data 72

Jet Global

MARCH 2, 2021

Let’s review these tools and discuss the pros and cons of each one: Screen-Based SQL Reports within Yardi : In some respects, the traditional on-screen reports within Yardi provide the fastest and most economical way of getting information from the system. Unfortunately, this option generally provides a very limited view.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98