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Explore the modern market of data analytics platforms and the
benefits of using Snowflake computing, the data warehouse built for
the cloud. With the rise of cloud technologies, organizations
prefer to deploy their analytics using cloud providers such as
Amazon Web Services (AWS), Microsoft Azure, or Google Cloud
Platform. Cloud vendors are offering modern data platforms for
building cloud analytics solutions to collect data and consolidate
into single storage solutions that provide insights for business
users. The core of any analytics framework is the data warehouse,
and previously customers did not have many choices of platform to
use. Snowflake was built specifically for the cloud and it is a
true game changer for the analytics market. This book will help
onboard you to Snowflake, present best practices to deploy, and use
the Snowflake data warehouse. In addition, it covers modern
analytics architecture and use cases. It provides use cases of
integration with leading analytics software such as Matillion ETL,
Tableau, and Databricks. Finally, it covers migration scenarios for
on-premise legacy data warehouses. What You Will Learn Know the key
functionalities of Snowflake Set up security and access with
cluster Bulk load data into Snowflake using the COPY command
Migrate from a legacy data warehouse to Snowflake integrate the
Snowflake data platform with modern business intelligence (BI) and
data integration tools Who This Book Is For Those working with data
warehouse and business intelligence (BI) technologies, and existing
and potential Snowflake users
Solve real-world data problems and create data-driven workflows for
easy data movement and processing at scale with Azure Data Factory
Key Features Learn how to load and transform data from various
sources, both on-premises and on cloud Use Azure Data Factory's
visual environment to build and manage hybrid ETL pipelines
Discover how to prepare, transform, process, and enrich data to
generate key insights Book DescriptionAzure Data Factory (ADF) is a
modern data integration tool available on Microsoft Azure. This
Azure Data Factory Cookbook helps you get up and running by showing
you how to create and execute your first job in ADF. You'll learn
how to branch and chain activities, create custom activities, and
schedule pipelines. This book will help you to discover the
benefits of cloud data warehousing, Azure Synapse Analytics, and
Azure Data Lake Gen2 Storage, which are frequently used for big
data analytics. With practical recipes, you'll learn how to
actively engage with analytical tools from Azure Data Services and
leverage your on-premise infrastructure with cloud-native tools to
get relevant business insights. As you advance, you'll be able to
integrate the most commonly used Azure Services into ADF and
understand how Azure services can be useful in designing ETL
pipelines. The book will take you through the common errors that
you may encounter while working with ADF and show you how to use
the Azure portal to monitor pipelines. You'll also understand error
messages and resolve problems in connectors and data flows with the
debugging capabilities of ADF. By the end of this book, you'll be
able to use ADF as the main ETL and orchestration tool for your
data warehouse or data platform projects. What you will learn
Create an orchestration and transformation job in ADF Develop,
execute, and monitor data flows using Azure Synapse Create big data
pipelines using Azure Data Lake and ADF Build a machine learning
app with Apache Spark and ADF Migrate on-premises SSIS jobs to ADF
Integrate ADF with commonly used Azure services such as Azure ML,
Azure Logic Apps, and Azure Functions Run big data compute jobs
within HDInsight and Azure Databricks Copy data from AWS S3 and
Google Cloud Storage to Azure Storage using ADF's built-in
connectors Who this book is forThis book is for ETL developers,
data warehouse and ETL architects, software professionals, and
anyone who wants to learn about the common and not-so-common
challenges faced while developing traditional and hybrid ETL
solutions using Microsoft's Azure Data Factory. You'll also find
this book useful if you are looking for recipes to improve or
enhance your existing ETL pipelines. Basic knowledge of data
warehousing is expected.
Learn through hands-on exercises covering a variety of topics
including data connections, analytics, and dashboards to
effectively prepare for the Tableau Desktop Certified Associate
exam Key Features Prepare for the Tableau Desktop Certified
Associate exam with the help of tips and techniques shared by
experts Implement Tableau's advanced analytical capabilities such
as forecasting Delve into advanced Tableau features and explore
best practices for building dashboards Book DescriptionThe Tableau
Desktop Certified Associate exam measures your knowledge of Tableau
Desktop and your ability to work with data and data visualization
techniques. This book will help you to become well-versed in
Tableau software and use its business intelligence (BI) features to
solve BI and analytics challenges. With the help of this book,
you'll explore the authors' success stories and their experience
with Tableau. You'll start by understanding the importance of
Tableau certification and the different certification exams, along
with covering the exam format, Tableau basics, and best practices
for preparing data for analysis and visualization. The book builds
on your knowledge of advanced Tableau topics such as table
calculations for solving problems. You'll learn to effectively
visualize geographic data using vector maps. Later, you'll discover
the analytics capabilities of Tableau by learning how to use
features such as forecasting. Finally, you'll understand how to
build and customize dashboards, while ensuring they convey
information effectively. Every chapter has examples and tests to
reinforce your learning, along with mock tests in the last section.
By the end of this book, you'll be able to efficiently prepare for
the certification exam with the help of mock tests, detailed
explanations, and expert advice from the authors. What you will
learn Apply Tableau best practices to analyze and visualize data
Use Tableau to visualize geographic data using vector maps Create
charts to gain productive insights into data and make
quality-driven decisions Implement advanced analytics techniques to
identify and forecast key values Prepare customized table
calculations to compute specific values Answer questions based on
the Tableau Desktop Certified Associate exam with the help of mock
tests Who this book is forThis Tableau certification book is for
business analysts, BI professionals, and data analysts who want to
become certified Tableau Desktop Associates and solve a range of
data science and business intelligence problems using this
example-packed guide. Some experience in Tableau Desktop is
expected to get the most out of this book.
Perform advanced dashboard, visualization, and analytical
techniques with Tableau Desktop, Tableau Prep, and Tableau Server
Key Features Unique problem-solution approach to aid effective
business decision-making Create interactive dashboards and
implement powerful business intelligence solutions Includes best
practices on using Tableau with modern cloud analytics services
Book DescriptionTableau has been one of the most popular business
intelligence solutions in recent times, thanks to its powerful and
interactive data visualization capabilities. Tableau 2019.x
Cookbook is full of useful recipes from industry experts, who will
help you master Tableau skills and learn each aspect of Tableau's
ecosystem. This book is enriched with features such as Tableau
extracts, Tableau advanced calculations, geospatial analysis, and
building dashboards. It will guide you with exciting data
manipulation, storytelling, advanced filtering, expert
visualization, and forecasting techniques using real-world
examples. From basic functionalities of Tableau to complex
deployment on Linux, you will cover it all. Moreover, you will
learn advanced features of Tableau using R, Python, and various
APIs. You will learn how to prepare data for analysis using the
latest Tableau Prep. In the concluding chapters, you will learn how
Tableau fits the modern world of analytics and works with modern
data platforms such as Snowflake and Redshift. In addition, you
will learn about the best practices of integrating Tableau with ETL
using Matillion ETL. By the end of the book, you will be ready to
tackle business intelligence challenges using Tableau's features.
What you will learn Understand the basic and advanced skills of
Tableau Desktop Implement best practices of visualization,
dashboard, and storytelling Learn advanced analytics with the use
of build in statistics Deploy the multi-node server on Linux and
Windows Use Tableau with big data sources such as Hadoop, Athena,
and Spectrum Cover Tableau built-in functions for forecasting using
R packages Combine, shape, and clean data for analysis using
Tableau Prep Extend Tableau's functionalities with REST API and
R/Python Who this book is forTableau 2019.x Cookbook is for data
analysts, data engineers, BI developers, and users who are looking
for quick solutions to common and not-so-common problems faced
while using Tableau products. Put each recipe into practice by
bringing the latest offerings of Tableau 2019.x to solve real-world
analytics and business intelligence challenges. Some understanding
of BI concepts and Tableau is required.
Build world-class enterprise Business Intelligence solutions with
MicroStrategy 10 About This Book * Fix the gap between BI tools and
implementation/integration processes with big data and predictive
analytics using this comprehensive guide to MicroStrategy 10 *
Highly practical, example-rich guide that lets you implement
business intelligence with MicroStrategy 10 in your organization *
Create the best user experience with BI dashboards using
MicroStrategy using this up-to-date, comprehensive guide Who This
Book Is For This book is intended for BI, DWH, ETL developers,
BI/DWH/Analytics managers, analysts, and business users who already
have MicroStrategy in their organization and want to take it to the
next level in order to increase performance and improve user
experience. In addition, it helps the reader to migrate from
MicroStrategy 9 to MicroStrategy 10 and to start using the new
capabilities. What You Will Learn * Explore various visualization
techniques for presenting analyzed data * Customize MicroStrategy
in order to meet your business requirements * Develop and design
mobile dashboards * Use the advanced techniques such as designing
reports, documents and interactive dashboards for building
dashboards * Understand the concepts of data discovery and Desktop
capabilities * Explore the best practices for Microstrategy system
administration * Find and fix issues based on connections,
environment or documents * Integrate third party ESRI map tools
with MicroStrategy to create geo based reports In Detail Business
intelligence is becoming more important by the day, with cloud
offerings and mobile devices gaining wider acceptance and achieving
better market penetration. MicroStrategy Reporting Suite is an
absolute leader in the BI market and offers rich capabilities from
basic data visualizations to predictive analytics. It lets you
various delivery methods such as the Web, desktops, and mobiles.
Using real-world BI scenarios, this book helps you to implement
Business Analytics solutions in big e-commerce companies. It kicks
off with MicroStrategy 10 features and then covers schema design
models and techniques. Building upon your existing knowledge, the
book will teach you advanced techniques for building documents and
dashboards. It further teaches various graphical techniques for
presenting data for analysis using maps, graphs, and advanced
charts. Although MicroStrategy has rich functionality, the book
will show how to customize it in order to meet your business
requirements. You will also become familiar with the native
analytical functions that will help you to maximize the impact of
BI solutions with powerful predictive analytics. Furthermore, the
book will focus on MicroStrategy Mobile Analytics along with data
discovery and desktop capabilities such as connecting various data
sources and building interactive dashboards. The book will also
uncover best practices, troubleshooting techniques for
MicroStrategy system administration, and also security and
authentication techniques. Lastly, you will learn to use Hadoop for
MicroStrategy reporting. By the end of the book, you will become
proficient in evaluating any BI software in order to choose the
best one that meets all business requirements. Style and approach
This book will be focusing on providing extensive guide to plan how
to design and develop complex BI architecture for real world
scenario, using Microstrategy 10, best practices and collected
experience working with BI, predictive analytics, and Microstrategy
and big data.
Visualize and analyze your Hadoop data using Hunk About This Book *
Explore your data in Hadoop and NoSQL data stores * Create and
optimize your reporting experience with advanced data
visualizations and data analytics * A comprehensive developer's
guide that helps you create outstanding analytical solutions
efficiently Who This Book Is For If you are Hadoop developers who
want to build efficient real-time Operation Intelligence Solutions
based on Hadoop deployments or various NoSQL data stores using
Hunk, this book is for you. Some familiarity with Splunk is
assumed. What You Will Learn * Deploy and configure Hunk on top of
Cloudera Hadoop * Create and configure Virtual Indexes for datasets
* Make your data presentable using the wide variety of data
visualization components and knowledge objects * Design a data
model using Hunk best practices * Add more flexibility to your
analytics solution via extended SDK and custom visualizations *
Discover data using MongoDB as a data source * Integrate Hunk with
AWS Elastic MapReduce to improve scalability In Detail Hunk is the
big data analytics platform that lets you rapidly explore, analyse,
and visualize data in Hadoop and NoSQL data stores. It provides a
single, fluid user experience, designed to show you insights from
your big data without the need for specialized skills, fixed
schemas, or months of development. Hunk goes beyond typical data
analysis methods and gives you the power to rapidly detect patterns
and find anomalies across petabytes of raw data. This book focuses
on exploring, analysing, and visualizing big data in Hadoop and
NoSQL data stores with this powerful full-featured big data
analytics platform. You will begin by learning the Hunk
architecture and Hunk Virtual Index before moving on to how to
easily analyze and visualize data using Splunk Search Language
(SPL). Next you will meet Hunk Apps which can easy integrate with
NoSQL data stores such as MongoDB or Sqqrl. You will also discover
Hunk knowledge objects, build a semantic layer on top of Hadoop,
and explore data using the friendly user-interface of Hunk Pivot.
You will connect MongoDB and explore data in the data store.
Finally, you will go through report acceleration techniques and
analyze data in the AWS Cloud. Style and approach A step-by-step
guide starting right from the basics and deep diving into the more
advanced and technical aspects of Hunk.
Discover how to make your business data more interactive and
engaging with SAP Lumira About This Book * Create a powerful data
discovery experience with the advanced capabilities of SAP Lumira *
Find business insights in your data through data blending,
wrangling, transformation, and visualization * A fast-paced guide
packed with hands-on practical examples, real-world solutions, and
best practices to get you started with SAP Lumira Who This Book Is
For If you are a SAP user, business analyst, BI developer, or a
junior data engineer who wants to use SAP Lumira to build creative
visualizations, this book is for you. You should have a reasonable
level of knowledge of SAP Business Objects and its components. What
You Will Learn * Deploy SAP Lumira on your computer and learn more
about the SAP Lumira interface * Extract data from different
sources using SAP Lumira's data connecters * Prepare, filter,
clean, and format your data * Discover visualization techniques and
data discovery methods * Administrate and customize SAP Lumira to
get basic knowledge of its SDK * Create various charts to deliver
fantastic data visualizations * Connect to SAP BusinessObjects BI
Platform and SAP HANA to extract, prepare, and visualize data In
Detail SAP Lumira allows you to combine data from multiple sources
into a single view and create engaging visualizations quickly and
easily. It is a reporting platform that helps users access data and
independently perform analysis. With the increasing interest in
data discovery, self-service BI, and visualization around the
world, tools like SAP Lumira help to eliminate the complexities of
analyzing and discovering data. Learn data discovery techniques,
build amazing visualizations, create fantastic stories, and share
your visualizations through an electronic medium with one of the
most powerful tools around-SAP Lumira. You will begin with an
overview of the SAP Lumira family of products. You will then go
through various data discovery techniques using real-world
scenarios of an online e-commerce retailer through detailed recipes
on the installation, administration, and customization of SAP
Lumira. Next, you will work with data, starting from acquiring data
from various data sources, then preparing and visualizing it using
the rich functionality of SAP Lumira. Finally, you will present
data via a data story or infographic and publish it across your
organization or on the World Wide Web. Style and approach This is a
step-by-step guide to learning SAP Lumira essentials packed with
examples on real-world problems and solutions.
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