Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. But what is Hadoop and what is the importance of Hadoop in Big Data?

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Dataconomy

JULY 24, 2023

As such, professionals skilled in interpreting and leveraging data for their organizations’ advantage are in high demand. As a data scientist, you will be instrumental in crafting data-driven business strategies and analytics. Job titles to look out for include data scientist, data analyst, and data engineer.

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Smart Data Collective

SEPTEMBER 23, 2020

Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

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Dataconomy

MARCH 19, 2025

Data science combines various disciplines to help businesses understand their operations, customers, and markets more effectively. What is data science? Data science is an interdisciplinary field that utilizes advanced analytics techniques to extract meaningful insights from vast amounts of data.

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Data Science Dojo

JULY 7, 2023

In today’s data-saturated world, data science plays a pivotal role in fields like marketing, healthcare, finance, and policy-making, driving strategic decision-making with its insights. Essential Skills for Coding Coding demands a unique blend of creativity and analytical skills.

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Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

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Data Science 101

JUNE 10, 2019

A data scientist can run a project from end-to-end. They can clean large amounts of data, explore data sets to find trends, build predictive models, and create a story around their findings. Data Analysts. Data analysts sift through data and provide helpful reports and visualizations.

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Pickl AI

OCTOBER 27, 2024

Impactful Contributions Data Scientists play a crucial role in helping organisations make informed decisions based on Data Analysis. By pursuing a course in Data Science, you can contribute to significant business outcomes and societal advancements through your analytical skills.

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Pickl AI

SEPTEMBER 24, 2024

Summary: This blog explores Uber’s innovative use of Data Analytics to improve supply efficiency and service quality. Learn how data-driven insights shape Uber’s operations and customer experiences. Predictive Analytics : By utilising historical data, Uber can forecast future demand trends.

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Smart Data Collective

DECEMBER 2, 2020

And, unsurprisingly, as useful as big data is in its own right, it has also necessitated new tools. In particular, those in finance now have access to embed-ready current and historic stock prices , while business users have new query tools designed specifically for information and analytics.

Big Data 111

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Alation

FEBRUARY 20, 2020

How recently the data was used. How recently the data was updated. We decided to address these needs for SQL engines over Hadoop in Alation 4.0. Alation Connect synchronizes metadata, sample data, and query logs into the Alation Data Catalog. What the mapping is of technical metadata to business descriptions.

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Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Read more to know.

Data Engineering 52

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Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. These may range from Data Analytics projects for beginners to experienced ones.

Analytics 40

Analytics Analytics Big Data Big Data 40

Alation

FEBRUARY 12, 2020

To keep up with the rapid influx of data, the many disparate data environments, and the rise in self-service analytics users, enterprises need an enterprise data catalog to drive the business forward with data, and ensure compliant, accurate data use. But, perhaps, you don’t need to be convinced.

Machine Learning 52

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Smart Data Collective

NOVEMBER 8, 2020

The benefits of parallel data processing are that you can process using more power, and you can make better use of memory in all the data processing units. That said, a commonly used parallel data processing engine is the Apache Spark. Data processing is often done in batches. Should You Become a Data Engineer?

Data Engineering 104

Data Engineering Data Engineering Data Engineering Data Engineer 104

IBM Journey to AI blog

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

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Pickl AI

JANUARY 13, 2025

Strong analytical skills for identifying vulnerabilities. Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions. They play a crucial role in shaping business strategies based on data insights. Key Skills Proficiency in data visualization tools (e.g.,

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ODSC - Open Data Science

APRIL 26, 2023

Data Analyst When people outside of data science think of those who work in data science, the title Data Analyst is what often comes up. What makes this job title unique is the “Swiss army knife” approach to data. But this doesn’t mean they’re off the hook on other programs.

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Pickl AI

OCTOBER 14, 2024

As organisations increasingly rely on data for strategic decision-making, the demand for skilled professionals continues to soar. Pursuing a Master’s in Data Science in India equips individuals with advanced analytical, statistical, and programming skills essential for success in this field.

Data Science 52

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Pickl AI

NOVEMBER 5, 2024

Before moving further, do you know the difference between Business Intelligence and Business Analytics ? Businesses, Data Analysts , and researchers utilise Tableau to gain actionable insights and make data-driven decisions. Enterprise: Enhanced data management features structured similarly to Tableau’s standard packages.

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Dataconomy

FEBRUARY 23, 2023

They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. This involves working closely with data analysts and data scientists to ensure that data is stored, processed, and analyzed efficiently to derive insights that inform decision-making.

Big Data 91

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Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

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Pickl AI

JULY 18, 2023

Thus allowing database administrators to control access to data and grant specific privileges to users or user groups. Read Blog Advanced SQL Tips and Tricks for Data Analysts 4. Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount.

Data Science 52

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Pickl AI

FEBRUARY 6, 2024

This has triggered the demand for data professionals. Companies are hiring data science professionals who can deep dive into the data repository and summarize it to get a more accurate insight. Moreover, by 2026, the analytics domain is expected to create around 11.5 Lakhs Benefits of studying Data Science 1.

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Pickl AI

JULY 24, 2023

Data Science salary in India is one of the best. Explore the 10 best-paying cities for Data Science and Analytics 10 Best Places Offering Competitive Data Science Salary in India In today’s data-driven world, the field of data science has emerged as one of the most promising and sought-after career paths.

Data Science 52

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Pickl AI

NOVEMBER 15, 2023

Importance of Data Lakes Data Lakes play a pivotal role in modern data analytics, providing a platform for Data Scientists and analysts to extract valuable insights from diverse data sources. With all data in one place, businesses can break down data silos and gain holistic insights.

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Dataconomy

JULY 25, 2023

Marketing and Advertising: Data-driven marketing campaigns are more effective, and data science helps in targeted advertising, customer segmentation, and campaign evaluation. Technology: Data science is at the core of technology companies, aiding in product development, user analytics, and cybersecurity.

Data Science 91

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Pickl AI

JUNE 7, 2024

Businesses might need to invest additional resources to fix data issues, integrate disparate systems, or replace the inadequate tool entirely. Long-Term Data Management Strategies Investing in the right ETL tool offers numerous long-term benefits. Read More: Advanced SQL Tips and Tricks for Data Analysts.

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Pickl AI

APRIL 18, 2023

Here are some key tips on how to create an effective job description for your Data Science resume : Start with a Strong Title Focus on making your resume clear and concise. For example, you can use standard job titles like Data Scientist, Data Analyst or Machine Learning engineer. You can log on to Pickl.AI.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. Webinar: Five Must-Haves for a Data Catalog. A modern data catalog should learn from human behavior to better support the people who use it.

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