Understanding and fulfilling customer needs is the key to business success, and customer data is the foundation upon which that success is built. Accessing and analyzing data is almost always dependent on data engineers and other IT staff, while decision-makers wait to receive insights. One way to skip the wait, and deliver data directly to […]

The post Using a Data Lake Engine to Provide Self-Service Insights appeared first on DATAVERSITY.

DUBLIN–(BUSINESS WIRE)–The “Global Data Preparation Tools Market By Component, By Function, By Deployment Type, By End User, By Regional Outlook, Industry Analysis Report and Forecast, 2021 – 2027” report has been added to ResearchAndMarkets.com’s offering. The Global Data Preparation Tools Market size is expected to reach $8.6 billion by 2027, rising at a market growth […]

The post Global Data Preparation Tools Market 2021 – 2027: A $8.6 Billion Market by 2027 – ResearchAndMarkets.com appeared first on Fintech News.

Visual interfaces, augmented analytics, data engineers, analytics cultures, and self-service BI dominate this year’s list.

(PRWeb January 20, 2022)

Read the full story at https://www.prweb.com/releases/bipp_analytics_unveils_predictions_for_the_business_intelligence_and_data_analytics_industry/prweb18445081.htm

Overview  This article will help you to achieve your goals in 2022. We will take you through a learning path that will help you achieve your dream to become a Data Engineer. Introduction Data Science is still considered a contemporary and highly advanced field. Everyone wants to be associated with something which is very trending. Right? […]

The post Hop on to your Data Engineering Career with AV! appeared first on Analytics Vidhya.

New research from EMA highlights platforms that enable organizations to accelerate the creation, operationalization, and continuous enhancement of machine learning-driven applications

(PRWeb January 18, 2022)

Read the full story at https://www.prweb.com/releases/ema_releases_new_top_3_decision_guide_for_mlops_to_assist_data_scientists_data_engineers_software_developers_it_operators_devops_engineers_and_security_professionals/prweb18438943.htm

In this article, I will describe three of the most promising career options within the data industry  — data analytics, data science, and data engineering.

Retail companies made more dramatic innovations in 2020 and 2021 than they did over the past 20 years.

(PRWeb January 15, 2022)

Read the full story at https://www.prweb.com/releases/nexla_announces_withdrawal_from_the_nrf_conference_and_predicts_2022_to_become_the_most_innovative_retail_year_in_history/prweb18438874.htm

There’s no shortage of buzzwords and phrases to define how an organization approaches and uses its data – with two of the most popular being DataOps and data fabric. For years, large enterprises have struggled to distinguish between the two and decide which is the right first choice to enable them to compete with data […]

The post DataOps or Data Fabric: Which Should Your Business Adopt First? appeared first on DATAVERSITY.

Any modern company of any significant size around the world has a data science department, and a data engineer at one company might have the same responsibilities as a marketing scientist at another company. Data science jobs are not well-labeled, so make sure to cast a wide net.

HQL or Hive Query Language is a simple yet powerful SQL like querying language which provides the users with the ability to perform data analytics on big datasets. Owing to its syntax similarity to SQL, HQL has been widely adopted among data engineers and can be learned quickly by people new to the world of […]

The post HQL COMMANDS FOR DATA ANALYTICS appeared first on Analytics Vidhya.

These are some of the most critical questions that I think are important to consider when selecting the next job.

Python is one of the most popular programming languages worldwide. It often ranks high in surveys: for instance, it claimed the first spot in the Popularity of Programming Language index and came second in the TIOBE index. The chief focus of Python was never web development. However, a few years ago, software engineers realized