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Software giant Oracle, now a hardware company as well thanks to its purchase of Sun Microsystems, reports earnings on Thursday after the close of trading, and at least one analyst believes there will be no major surprises.

That’s good or not so good, depending on your perspective. It could be argued that Oracle’s (NASDAQ: ORCL) only significant competitor on a soup-to-nuts, hardware and software basis is IBM (NYSE: IBM). On the other hand, Oracle isn’t in a high-growth industry. Much of its growth has come from acquisitions in recent years, and there aren’t that many big targets left for it any more.

There’s also the added pressure on Oracle’s margins from Sun. As Broadpoint.AmTech analyst Yun Kim noted in a research note on the company earlier this month, Oracle currently enjoys the highest operating margin in the industry and is a relentless cost cutter.

Sun, however, is a hardware company, and hardware is not known for being a high margin business (with Apple a notable exception) and could cause “Oracle’s overall margin profile to decline substantially and it may be weighed down for some time while the company digests the acquisition,” Kim wrote.

Still, Kim expects Oracle to meet estimates with revenue for the third fiscal quarter ended February 26 of $6.41 billion, a 9 percent improvement over the second fiscal quarter and a 17 percent improvement over the same quarter last year. Oracle should report net income of $1.9 billion, or $0.37 per share.

Agreeing with Kim, a consensus survey by Thomson Reuters estimates Oracle will report earnings of $6.35 billion and EPS of $0.38.

One potential area of softness might be the benefit for currency. Recent strength in the U.S. dollar versus the Euro could likely lead to much less than the 7 to 8 percent currency benefit Oracle had forecasted for the quarter. But Kim added he does not expect weaker-than-expected currency to have any significant impact on its non-GAAP EPS.

“We believe its core database business remains solid, although certain local regions and certain verticals faced a more challenging sales environment than expected. Within its database business, ORCL’s middleware business put together yet another strong performance. We believe its application business is likely to remain lackluster,” Kim wrote in his note.

All things considered, he does not project any significant changes to projections as a result. Sun, he wrote, will not be a distraction for now. “We believe that investors are likely to focus on Oracle’s core business in the near-term and not put too much emphasis on Sun’s business as long as it continues to reaffirm its FY11 financial targets, which includes contribution from Sun,” he wrote.

Sun is expected to provide around $635 million, $1 million off from an earlier projection by UBS, and it will provide around $1.22 billion in product and services revenue next quarter, according to Kim.

The fourth fiscal quarter ending in May is traditionally Oracle’s busiest for the year. Kim projects Oracle will report revenue of $9.61 billion and non-GAAP income of $2.71 billion, or $0.58 per share.

Andy Patrizio is a senior editor at chúng tôi the news service of chúng tôi the network for technology professionals.

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The Fifth Adwords Match Type: Phrase Match Modifier

Have you ever wanted to merge Phrase Match and Broad Match Modifier into a single keyword like these people?

It can be frustrating when you want the reach of BMM, but the control of Phrase Match.

Here is what one user had to say:

I am trying to create a keyword pattern that will match the following searches …

london to paris by bus

bus from london to paris

… but not the following searches (opposite travel direction) …

paris to london by bus

bus from paris to london

I imagine using a keyword like the following, but I don’t thinks this is allowed:

“london to paris” +bus

This user was disappointed to hear that:

You cannot use different match types within the same keywords,

The best approach would be to use exact match type with all combinations possible of this query.

The search terms report can be a useful tool.

A few years ago, I was also frustrated that I couldn’t use Phrase Match with a Broad Match Modifier.

I started testing different syntaxes and measuring results in the search terms report.

I tried everything from “the regular” +symbols to #much_more=bizarre &symbols.

After a few months of testing, I noticed something interesting in a search term report.

I saw that when chúng tôi was bid on, it showed up in the search term report as www url com.

I then had a theory that a period would be processed as a space.

After another few rounds of testing, I found a combination that produced the results I was looking for.

How to Use Phrase Match Modifier

For the first time, not protected by an NDA, I am happy to share Phrase Match Modifier for AdWords.

You can now combine Phrase Match with Broad Match, Broad Match Modifier, and other Phrase Match phrases within one keyword. Here are examples of how to use them.

You can +mix +modified +broad +match with broad match and

When you add the period between words that start with +, you are binding those words together in that order. They then function like a phrase match within the larger keyword.

PMM is most useful when the specific order of words significantly changes what they mean.

The order of those words completely changes the intent of the search.

You can use PMM to get the semantic control of Phrase Match while still keeping the reach and flexibility of BMM.

A great use case for PMM is when you want to add geographic modifiers to phrase match terms.

For instance, +vacation.home +Florida. A user searching for “home vacation” is not looking for the same thing as a user searching for “vacation home”, however, “Florida” can show up nearly anywhere in the search and hold the same meaning.

Geographic modifiers are a powerful tool for identifying intent for users.

In many industries, users include a location in their search because they are looking for a business where they can take action. They are often further down the funnel, and PMM allows you to easily keep a tight hold on the placements you buy while capturing all the variations of geographically modified searches.

What About Quality Score

You may be wondering what the PMM syntax does to quality score.

Quality score is calculated for every auction, and the keyword itself only serves to enter an ad into that auction.

The keyword text is not an element of the calculation, just a gatekeeper to entering the auction.

Quality score is then calculated by measuring the relevance of the user’s search phrase to the ad and landing page.

When I use PMM, I see higher quality scores as a result of earning a higher CTR through entering fewer irrelevant auctions.

How Does PMM Impact Stemming

PMM will allow stemming or close variants within your keywords, but I find that the phrase match portion of the PMM tends to be more conservative in its variant matches than the BMM portion.

Check out this real search term report for the PMM +NJ. Driving matched to driver, school matched to schools, and NJ matched to New Jersey:

In this example of a PMM search term report, you can see how it works for +cdl +in.NJ.

The phrase match portion, +in.NJ, was not able to match to “in New Jersey”, only “in NJ”.

What I typically see is that the phrase match portions of the PMM will not expand abbreviations like BMM will, but will catch basic stemming like going from singular to plural.

The less comprehensive matching still saves you from having to build out excessively long keyword lists to account for basic variations.


PMM can be an effective tool for optimizing your AdWords accounts, but only when used correctly.

PMM shines when the order of specific words has a large impact on intent (e.g., free care vs care free), but you want to add modifiers, like a city name, that do not require a specific order for semantic relevance.

More AdWords Resources:

Index Match Functions In Excel

In this tutorial, we’ll dive into the powerful Excel INDEX and MATCH functions, which are essential for manipulating and analyzing large sets of data.

We’ll start by exploring what these functions do and how they retrieve specific information from a table, and then we’ll write INDEX and MATCH formulas together as an alternative to the VLOOKUP formula.

We’ll also cover some practical use cases for INDEX and MATCH formulas.

Note: if you have Excel 2023 or later, or Microsoft 365 you should use the XLOOKUP function as this is easier and potentially more efficient.

Watch the INDEX and MATCH Video

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How the INDEX function works:

The INDEX function returns the value at the intersection of a column and a row.

The syntax for the INDEX function is:







, [area_num])

In English:

=INDEX( the range of your table, the row number of the table that your data is in, the column number of the table that your data is in, and if your reference specifies two or more ranges (areas) then specify which area*)

*Typically only one area is specified so the area_num argument can be omitted. The examples below don’t require area_num.

INDEX will return the value that is in the cell at the intersection of the row and column you specify.

For example, looking at the table below in the range B17:F24 we can use INDEX to return the number of program views for Bat Man in the North region with a formula as follows:








The result returned is 91.

On its own the INDEX function is pretty inflexible because you have to hard key the row and column number, and that’s why it works better with the MATCH function.

Note: You may have noticed that the INDEX function works in a similar way to the OFFSET function, in fact you can often interchange them and achieve the same results.

How the MATCH function works:

The MATCH function finds the position of a value in a list.  The list can either be in a row or a column.

The syntax for the MATCH function is:








Now I don’t want to go all syntaxy (real word 🙂 ) on you, but I’d like to point out some important features of the [match_type] argument:

The match_type argument specifies how Excel matches the lookup_value with values in lookup_array. You can choose from -1, 0 or 1 (1 is the default)

[match_type] is an optional argument, hence the square brackets. If you leave it out Excel will use the default of 1, which means it will find the largest value that is

0 will find the first value that is exactly equal to the lookup_value. The values in the lookup_array can be in any order.

Ok, that’s enough of the syntax.

In English and using the previous example:


find what row Bat Man is on


in the column range B17:B24


match it exactly (for this we'll use 0 as our argument)


The result is row 2.

We can also use MATCH to find the column number like this:


find what column North is in


in the row range B17:F17


match it exactly (again we'll use 0 as our argument)


The result is column 3.

So in summary, the INDEX function returns the value in the cell you specify, and the MATCH function tells you the column or row number for the value you are looking up.


The INDEX and MATCH functions are a popular alternative to the VLOOKUP. Even though I still prefer VLOOKUP as it’s more straight forward to use, there are certain things the INDEX + MATCH functions can do that VLOOKUP can’t.  More on that later.

Using the above example data we’ll use the INDEX and MATCH functions to find the program views for Bat Man in the East region.


the range of your table


replace this with a MATCH function to find the row number for Bat Man


replace this with a MATCH function to find the column number for East


The formula will read like this:


return the value in the table range B17:F24 in the cell that is at the intersection of


the row Bat Man is on

) and, MATCH(

the column East is in


The formula looks like this:




"Bat Man",$B$18:$B$24,0




So why would you put yourself through all that rigmarole when VLOOKUP can do the same job.

Reasons to use INDEX and MATCH rather than VLOOKUP

1) VLOOKUP can’t go left

Taking the table below, let’s say you wanted to find out what program was on the Krafty Kids channel.

VLOOKUP can’t do this because you’d be asking it to find Krafty Kids and then return the value in column B to the left, and VLOOKUP can only look to the right.

In comes INDEX and MATCH with a formula like this:

=INDEX($B$33:$B$40,MATCH("Krafty Kids",$C$33:$C$40,0))

And you get the answer; ‘Mr Maker’.

Notice only the Programs column (B) was referenced in INDEX’s array argument? This means we can omit INDEX’s column number argument as there’s only one column in the INDEX array.

2) Two way lookup

The table below has a drop down list in B1 that enables me to choose the Sales Person from the table, and a drop down list in A2 for the region.  In B2 I’ve got an INDEX + MATCH formula that returns the sales that match my two criteria.


Note: An alternative is to use a VLOOKUP and replace the hard keyed column number with a MATCH formula like this:

Ways to improve these formulas:

1) Use named ranges instead of $C$33:$C$40 etc. to make formulas more intuitive and quicker to create.

2) An alternative to using a named range is to convert the data to an Excel Table whereby Excel automatically gives the table a named range.

3) If there is nothing else in the columns other than your table you could use column references like this C:C which will search the whole column.

Top 5 Types Of Oracle Constraints

Introduction to Oracle Constraints

Oracle Constraints clause provides data integrity to the data that is being used by the application from the database by applying certain rules or conditions on a column of a database table which will define a very basic behavioral layer on the column of that particular table to check the sanctity of the data flowing into it like NOT NULL constraint on the column will not allow any data of that column to be NULL as it will not allow users to insert NULL data into the column.

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Types of Oracle Constraints

Oracle has multiple types of constraints for multiple purposes. In this section, we are going to go through the different types of constraints in Oracle.


If we just add a column, by default the column is allowed to hold NULL values but in case there is a requirement that the column should not hold any NULL values. We can use NOT NULL constraint on that particular column. This will enforce the column to always have a value and it will not allow any NULL record to be added in the column. We will add NOT NULL constraint using both CREATE TABLE and ALTER TABLE constraint. We will create a table STUDENT with student_id, LastName and zfirstName columns having NOT NULL constraint.

Let us look at the query.



Let us now the query in SQL Developer and look at the result.

As you can see from the above screenshot we have successfully created the table with NOT NULL constraints. Let us now look at the ALTER statement query to add NOT NULL constraint to the age column of STUDENT TABLE.



Let us now run the query in the SQL developer.


As we can see from the output the column AGE has now NOT NULL constraint added to it.


This constraint in Oracle ensures that all the values of the column are different from each other and there are no duplicates. We will again use two examples to understand. First using the CREATE statement and then using ALTER statement. We will create a table STUDENT with student_id having UNIQUE constraint.

Let us look at the query using the CREATE TABLE statement.



Let us now run the above query in SQL developer.


As we can see UNIQUE constraint has been added to the columns of the table. Now let add a UNIQUE constraint to age column using ALTER TABLE statement.



Let us run this query in SQL developer.


As we can see the table student has been successfully altered.


Primary key constraint uniquely describes each value of a column. No duplicates or NULL value is allowed. One important point is that a table can have only one primary key which in itself can be a combination of single or multiple fields.

We will first create a table ‘student’ with student_id as the primary key using the CREATE TABLE statement.




As we can see the Table STUDENT has been successfully created. Let us now add primary Key using the ALTER TABLE statement to student_id column after the STUDENT table has been created.


ADD PRIMARY KEY (student_id);

Let us now run the query in SQL developer and check the result.


As we can see the table STUDENT has been successfully altered.

4. FOREIGN KEY Constraints

A foreign key is a field which refers to the PRIMARY KEY of another table and the table which actually has the foreign key is called child table. Let us now create a table order which we has student_id column as a foreign key refrencing student_id column of student table using CREATE TABLE statement.



Let us now run the query in SQL developer and look at the result.


As we can see the orders table has been successfully created. Now we will use the ALTER TABLE statement to add a foreign key to the student_id column of orders table.


Let us run the query in SQL developer and look at the result.


As we can see the table orders has been successfully altered.

5. CHECK Constraint

The CHECK constraint is used to limit the value of the range that can be placed in a column. In case we want to restrict certain values in a column or a table we introduce the check constraint. We will introduce the CHECK constraint using both CREATE TABLE and ALTER TABLE statement.

We are going to create a table student with age column having a check constraint.



Let us run the query in SQL developer and look at the result.


As we can see the table has been successfully created with the CHECK constraint. Let us now add CHECK constraint on the same column after the table student has been created using ALTER TABLE statement.


Let us now run the query in SQL developer and see the result.


As we can see the CHECK constraint has been added to the table.

Recommended Articles

This is a guide to Oracle Constraints. Here we discuss the definition of Constraints in Oracle database. We also discussed the various types that can be used in Oracle database along with examples. You can also go through our suggested articles to learn more –

Google Earnings : Quarterly Profit Up 92%

Google quarterly profit almost doubled in Q3, with an increase of 92% while gross revenue rose 70% to $2.69 billion.

Here’s an overview of where that revenue came from:

Google Sites Revenues – Google-owned sites generated revenues of $1.63 billion, or 60% of total revenues, in the third quarter of 2006. This represents an 84% increase over third quarter 2005 revenues of $885 million and a 14% increase over second quarter 2006 revenues of $1.43 billion.

Google Network Revenues – Google’s partner sites generated revenues, through AdSense programs, of $1.04 billion, or 39% of total revenues, in the third quarter of 2006. This is a 54% increase over network revenues of $675 million generated in the third quarter of 2005 and a 4% increase over second quarter 2006 revenues of $997 million.

International Revenues – Revenues from outside of the United States contributed 44% of total revenues in the third quarter of 2006, compared to 42% in the second quarter of 2006 and 39% in the third quarter of 2005. Had foreign exchange rates remained constant from the second quarter through the third quarter of 2006, our revenues in the third quarter of 2006 would have been $19 million lower. Had foreign exchange rates remained constant from the third quarter of 2005 through the third quarter of 2006, our revenues in the third quarter of 2006 would have been $35 million lower.

Greg Sterling has highlighted some of the conference call which was transcribed by Seeking Alpha:

What we are concerned about is that if we continue to develop so many new individual products that are all their assorted silos, you will have to essentially search for our products before you can even use them. And then you will have to search before you can do a search, in many cases.

Instead what we’re doing now is we are trying to create the horizontal functionality across a range of products, across media types and so forth. For example, I mentioned already Google Apps for Your Domain, and that in a sense is a product, but really it just combines a whole bunch of other offerings together, seamlessly integrated together so they can work well for an organization.

Another example which we haven’t gotten quite up and running yet, but when you want to share your documents or your pictures or your videos, it would be nice to have the exact same way to share all those things, to have all that functionality available across all of those media types in the identical way, rather than developing sort of one-offs for each of those products.

There’s a whole set of initiatives that’s now going on in the Company to make our product offerings simpler and more consistent for all of our users.

Jonathan Rosenberg on AdWords “Starter Edition”:

Jonathan Rosenberg again, on Local:

But if you want to check some out, type polo store, New York City. You can also a look at some of the printable coupons that Larry mentioned if you type in “carwashes in Mountainview”.

Mark Rowen – Prudential

And how are some of the monetization efforts in local going? I know you were doing some testing with some retailers, putting their names in the bullets on the Maps and things. Can you talk about that at all?

Jonathan Rosenberg

It is a real portion of our revenue. I can’t give you specifics in terms of percentages, but it is one of the things that we are tracking very, very carefully and that is reasonably significant at this point.

Google Earnings Hopes Hampered By Economy, Competitors

(Reuters) – Investors have muted expectations for Google Inc’s second-quarter results, as economic clouds and shifts in the company’s strategy dampened hopes that it will beat Wall Street estimates.

At least three analysts have cut financial estimates for Google in the run up to its second-quarter earnings report due late Thursday.

“There’s no question that sentiment going into the quarter is much lower,” said Cowen and Co analyst Jim Friedland.

With fears of a double-dip recession and ongoing worries about the European debt crisis, Wall Street is taking a cautious view on the Internet powerhouse, which counts Britain as one of its biggest overseas markets.

Google’s future in China, where the company’s license was recently renewed for one year, is also a concern for investors.

Investors will also focus on operating expenses and headcount after Google made eight acquisitions during the quarter in addition to the $700 million deal to acquire online travel software company ITA Software announced July 1.

“…a large uptick in expenses could create concerns for investors looking for the company to maintain or increase margin in 2011,” UBS analyst Brian Pitz wrote in a recent note to investors.


Google has beat Wall Street revenue expectations in five of the past seven quarters and exceeded profit estimates in each of the past seven. But its shares have sold off after its last two better-than-expected earnings reports when, analysts said, some investors’ expectations of blow-out results were missed.

The average analyst expectation according to Thomson Reuters I/B/E/S calls for Google to generate net revenue — which excludes costs that Google pays to partner websites — of $4.99 billion in the second quarter, down roughly 1.4 percent from the first quarter, with earnings per share of $6.53.

Estimates from Thomson Reuters StarMine, which places more weight on recent forecasts by top-rated analysts, forecast revenue of $4.99 billion and a EPS of $6.57 – a relatively minor amount of upside by Google standards.

“In previous quarters, when foreign exchange wasn’t that big of an issue and macro conditions were relatively stable, all the checks (that analysts made with Google’s customers) were coming out strong, so the numbers kept going up ahead of the quarter,” said JMP Securities analyst Sameet Sinha.

Still, with shares now trading at much lower levels and second-quarter estimates having come down, JMP’s Sinha says the stock is under less pressure to outperform on Thursday.

Google’s stock is down roughly 22 percent from its 52-week high of $629.51, though shares have rallied more than 13 percent since the start of the month, closing at $491.34 on Wednesday.


Meanwhile, Google’s Android smartphone operating system software has continued to make headway. Roughly 160,000 smartphones featuring Android software are now shipped every day, up from the 60,000 units-per-day rate announced in February, Google said.

The company’s plans to become an online phone retailer have fared less well, with Google pulling the plug on its effort to sell the Nexus One smartphone through its website in May.

And while Google shares got a bump earlier this month, after the company said its license to operate a website in mainland China had been renewed by the Chinese authorities, analysts question Google’s business prospects in the world’s largest Internet market by users.

Kaufman Brother’s analyst Aaron Kessler said he hoped to get more clarity from management on the sustainability of Google’s new tack of providing Chinese websurfers a link to an uncensored search site in Hong Kong, as well as details about changes in Google’s market share and ad business there.

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